Microsoft(R) Project Do's and Don'ts
Your straightforward guide to Microsoft Project Do's and Don'ts. Destined to become a Microsoft Project classic, this concise book gives you the essential information you need to gain confidence in creating, updating and reporting Project plans quickly and correctly. Whether you're a long-time project manager or somebody new to the job of project management, you'll learn how to avoid the common mistakes and prepare your projects right without wasting time or effort.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Ai-Empowered Knowledge Management in Education
This book explains basic ideas behind several methods used in artificial intelligence-based knowledge management techniques. It also shows how these techniques are applied in practical contexts in different education sectors. The book discusses AI-based knowledge management applications, AI-empowered knowledge management in primary and higher education, and technical and ethical challenges and opportunities.
Artificial Intelligence and Machine Learning
Foundations of Artificial Intelligence (AI) and Machine Learning (ML): Provide a comprehensive overview of the fundamental concepts, theories, and principles of artificial intelligence and machine learning, including their historical development, basic algorithms, and applications across various domains. Algorithms and Techniques: Explore a wide range of AI and ML algorithms and techniques, including supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, support vector machines, decision trees, clustering algorithms, and natural language processing (NLP), with explanations of their underlying principles and practical implementations. Applications and Use Cases: Present real-world applications and use cases of AI and ML across different industries and domains, including healthcare, finance, marketing, cybersecurity, autonomous vehicles, robotics, smart cities, and personalized recommendation systems, with insights into how AI and ML technologies are transforming businesses and society. Future Trends and Challenges: Examine emerging trends and future directions in AI and ML research and development, including advancements in deep learning, reinforcement learning, AI explainability, AI ethics, human-AI collaboration, AI-driven automation, and the potential risks and challenges associated with the widespread adoption of AI technologies.
High-Performance Algorithmic Trading Using AI
DESCRIPTION "High-Performance Algorithmic Trading using AI" is a comprehensive guide designed to empower both beginners and experienced professionals in the finance industry. This book equips you with the knowledge and tools to build sophisticated, high-performance trading systems. It starts with basics like data preprocessing, feature engineering, and ML. Then, it moves to advanced topics, such as strategy development, backtesting, platform integration using Python for financial modeling, and the implementation of AI models on trading platforms. Each chapter is crafted to equip readers with actionable skills, ranging from extracting insights from vast datasets to developing and optimizing trading algorithms using Python's extensive libraries. It includes real-world case studies and advanced techniques like deep learning and reinforcement learning. The book wraps up with future trends, challenges, and opportunities in algorithmic trading.Become a proficient algorithmic trader capable of designing, developing, and deploying profitable trading systems. It not only provides theoretical knowledge but also emphasizes hands-on practice and real-world applications, ensuring you can confidently navigate and leverage AI in your trading strategies. WHAT YOU WILL LEARN● Develop AI-powered trading algorithms for enhanced decision-making and profitability.● Utilize Python tools and libraries for financial modeling and analysis.● Extract actionable insights from large datasets for informed trading decisions.● Implement and optimize AI models within popular trading platforms.● Apply risk management strategies to safeguard and optimize investments.● Understand emerging technologies like quantum computing and blockchain in finance.WHO THIS BOOK IS FORThis book is for financial professionals, analysts, traders, and tech enthusiasts with a basic understanding of finance and programming.
Artificial Intelligence
A global perspective on AIThe rise of AI and super-intelligent AI raises ethical issues. AI is the power behind Google's search engine, enables social media sites to serve up targeted advertising, gives Alexa and Siri their voices, and enables OpenAI's ChatGPT to produce written responses from just a few prompts by the user. It is also the technology enabling self-driving vehicles, predictive policing, and autonomous weapons that can kill without direct human intervention. All of these bring up complex ethical issues that are still unresolved and will continue to be the subject of ongoing debate.This book: Explores the complex topic of AI ethics in a cross-functional way;Enables understanding of the associated ethical challenges of AI technologies;Provides an up-to-date overview of the potential positive and negative outcomes of AI implementations; andHas been updated to reflect the ethical challenges of AI in 2024 and beyond, and the moral imperative of navigating this new terrain.This book presents a concrete approach to identifying appropriate ethical principles in AI solutionsAbout the author: Dr Julie Mehan is semi-retired, but is still a professor at UMGC (University of Maryland Global College), where she teaches digital ethics, cyber terrorism, and information systems in organisations.Dr Mehan has been a career government service employee, a strategic consultant and an entrepreneur. She has led business operations, as well as IT governance and cyber-security-related services, including designing and leading whitehat and blackhat penetration testing exercises, certification and accreditation, systems security engineering process improvement, and cyber security strategic planning and programme management. She delivered cyber security and related privacy services to the US senior Department of Defense, federal government and commercial clients, working in Italy, Australia, Canada, Belgium, Germany and the US.Dr Mehan is particularly proud of her role as pro bono president of W2CW (Warrior to Cyber Warrior), a non-profit organisation dedicated to providing cost-free cyber security career transition training to veterans and wounded warriors returning from military campaigns.
Implementing GitOps with Kubernetes
Learn to integrate and implement the GitOps framework, tools like Kubernetes and Openshift, and best practices across AWS and Azure cloud platforms, ensuring enhanced reliability in your cloud-native infrastructure and application deploymentsKey Features: - Master basic and advanced GitOps concepts for efficient cloud-native architectural design and application deployment- Set up GitOps workflows for Kubernetes, integrate CI/CD pipelines, and optimize deployment strategies- Perform continuous deployment using GitHub, Hel- Purchase of the print or Kindle book includes a free PDF eBookBook Description: This book covers actionable GitOps practices for automated, secure Kubernetes deployments with industry-tested scenarios. You'll be able to leverage GitOps to tackle cloud-native software delivery challenges, such as preventing data drifts between systems and Git repositories, and ensuring rapid, error-free deployments.The book introduces GitOps core concepts and principles and then delves into integrating version control and GitOps tools such as Argo CD, Flux CD, Helm, and Kustomize with Kubernetes. You'll learn about scaling GitOps across multiple clusters, architectural designs for efficient cloud-native operations, and the cultural transformation needed to support GitOps adoption within an organization. As you progress, you'll be able to automate infrastructure and implement CI/CD processes on OpenShift, MS Azure, and AWS platforms using GitOps, Terraform, OpenTofu, and Argo CD. You'll also explore examples and best practices for integrating observability, enhancing security, managing financial operations (FinOps), and future trends such as AI and sustainability in GitOps.By the end of this book, you'll have gained the skills you need to apply GitOps strategies for robust Kubernetes and cloud deployments, thereby boosting your productivity and efficiency.What You Will Learn: - Delve into GitOps methods and best practices used for modern cloud-native environments- Explore GitOps tools such as GitHub, Argo CD, Flux CD, Helm, and Kustomize- Automate Kubernetes CI/CD workflows using GitOps and GitHub Actions- Deploy infrastructure as code using Terraform, OpenTofu, and GitOps- Automate AWS, Azure, and OpenShift platforms with GitOps- Understand multitenancy, rolling back deployments, and how to handle stateful applications using GitOps methods- Implement observability, security, cost optimization, and AI in GitOps practicesWho this book is for: This book is for DevOps engineers, platform engineers, SREs, and cloud engineers who want to get skilled at implementing GitOps practices effectively in cloud-native environments. A foundational understanding of cloud computing, containerization, infrastructure as code, DevOps, CI/CD principles, and Kubernetes will be helpful to get the most out of this book.Table of Contents- An Introduction to GitOps - Navigating Cloud-native Operations with GitOps- Version Control and Integration with Git and GitHub- Kubernetes with GitOps Tools- GitOps at Scale and Multitenancy- GitOps Architectural Designs and Operational Control- Cultural Transformation in IT for Embracing GitOps- GitOps with OpenShift- GitOps for Azure and AWS Deployments- GitOps for Infrastructure Automation - Terraform and Flux CD - Deploying Real-World Projects with GitOps on Kubernetes- Observability with GitOps- Security with GitOps- FinOps, Sustainability, AI, and Future Trends for GitOps
ChatGPT for Authors
Would you like to discover how to write a book in just one day thanks to AI? Do you want to know how ChatGPT can help you write better, faster, and more effectively? What if you could turn artificial intelligence into your best ally for generating passive income? The recent and unstoppable emergence of artificial intelligence, specifically ChatGPT, in our lives has led to a historical revolution in all sectors. Writers (and aspiring writers) are no exception. Many people see this new technology as a threat to their jobs or even to humanity itself. Others, on the contrary, see an incredible opportunity. If, like me, you belong to the latter group... Welcome to the Matrix!This book is for you if: - You've always dreamed of writing a book but have never found the time to start (or finish) it. - You want to improve the quality and speed of your writing. - You've suffered or are suffering from writer's block. - You want to learn to create unique covers with artificial intelligence. - You're concerned that using AI might make your books sound unnatural or lack sufficient quality. - You want to learn how to use ChatGPT ethically and professionally. - You struggle to maintain motivation during the writing process. - You don't want to fall behind in your writing career. - You want to start using ChatGPT but are afraid of infringing on copyright and intellectual property. - You'd like to find a balance between human-generated and AI-generated writing. - You want to learn one of the best ways to generate passive income using artificial intelligence. - And much more. This book will guide you on an exciting journey where you'll discover how artificial intelligence can enhance your writing skills and become your most powerful ally.In "ChatGPT for Authors", you'll learn how to structure your content, improve the coherence and fluidity of the generated text, and personalize it to match your style and voice as an author. Harness the power of artificial intelligence to create unique and captivating literary works that will help you achieve success in your writing career.Get your book now and find out why so many people are talking about ChatGPT!
Introduction to Advanced Soft Robotics
Introduction to Advanced Soft Robotics is an introductory textbook on soft body robotics. The content is designed to enable readers to better understand soft body robotics. Starting with an introduction to the subject, contents explain fundamental concepts such as perception and sensing, fabrication techniques and material design. These introductory chapters demonstrate the design concept and related design structures of soft robots from multiple perspectives, which can provide considerable design references for robotics learners and enthusiasts. Next, the book explains modeling and control for soft robotics and the applications. Key features of this book include easy-to-understand language and format, simple illustrations and a balanced overview of the subject (including a section on challenges and future prospects for soft robotics), and scientific references.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Exam Ref Dp-600 Implementing Analytics Solutions Using Microsoft Fabric
Prepare for Microsoft Exam DP-600 and demonstrate your real-world mastery of Microsoft Fabric analytics solution development. Designed for working Fabric analytics engineers, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Solutions Associate level. Focus on the expertise measured by these objectives: Plan, implement, and manage a solution for data analytics Prepare and serve data Implement and manage semantic models Explore and analyze data This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you want to validate your ability to design and build diverse Microsoft Fabric analytics solutions About the Exam Exam DP-600 focuses on knowledge needed to implement and plan a data analytics environment; manage an analytics development lifecycle; create objects in a lakehouse or warehouse; copy data, transform data, and optimize performance; implement, design, and build semantic models; optimize enterprise-scale semantic models; perform exploratory analytics; query data by using SQL. About Microsoft Certification Passing this exam fulfills your requirements for Microsoft Certified: Fabric Analytics Engineer Associate credential, demonstrating your readiness to design, build, test, and maintain Microsoft Fabric data analytics solutions, and partner with other professionals and clients to implement them. See full details at: microsoft.com/learn
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Network Simulation and Evaluation
This book constitutes the refereed proceedings of the Second International Conference on Network Simulation and Evaluation, NSE 2023, held in Shenzhen, China in November 2023. The 52 full papers presented in this two volume set were carefully reviewed and selected from 72 submissions. The papers are organized in the following topical sections: CCIS 2063: Cybersecurity Attack and Defense, Cybersecurity Future Trends, Cybersecurity Infrastructure, Cybersecurity Systems and Applications. CCIS 2064: Cybersecurity Threat Research, Design and Cybersecurity for IoT Systems, Intelligent Cyber Attack and Defense, Secure IoT Networks and Blockchain-Enabled Solutions, Test and Evaluation for Cybersecurity, Threat Detection and Defense.
Intelligence, from Natural Origins to Artificial Frontiers
The parallel history of the evolution of human intelligence and artificial intelligence is a fascinating journey, highlighting the distinct but interconnected paths of biological evolution and technological innovation. This history can be seen as a series of interconnected developments, each advance in human intelligence paving the way for the next leap in artificial intelligence. Human intelligence and artificial intelligence have long been intertwined, evolving in parallel trajectories throughout history. As humans have sought to understand and reproduce intelligence, AI has emerged as a field dedicated to creating systems capable of tasks that traditionally require human intellect. This book examines the evolutionary roots of intelligence, explores the emergence of artificial intelligence, examines the parallel history of human intelligence and artificial intelligence, tracing their development, interactions, and profound impact they have had on each other, and envisions future landscapes where intelligence converges human and artificial. Let's explore this history, comparing key milestones and developments in both realms. DOI: 10.58679/MM97993
Privacy Technologies and Policy
This book constitutes the refereed proceedings of the 12th Annual Privacy Forum on Privacy Technologies and Policy, APF 2024, held in Karlstad, Sweden, during September 4-5, 2024. The 12 full papers were carefully reviewed and selected from 60 submissions. This conference was established as an opportunity to bring together key communities, namely policy, academia, and industry, in the broader area of privacy and data protection while focusing on privacy-related application areas. Like in the previous edition, a large focus of the 2024 conference was on the General Data Protection Regulation (GDPR) and the emerging legislation around the European Data Spaces and Arti cial Intelligence. Chapter 3, 9, 12 are licensed under the terms of the Creative Commons Attribution 4.0 International License (http: //creativecommons.org/licenses/by/4.0/). For further details see license information in the chapter.
AWS Certified Cloud Practitioner Clf-C02 Cert Guide
Learn, prepare, and practice for AWS Certified Cloud Practitioner CLF-C02 exam success with this Cert Guide from Pearson IT Certification, a leader in IT Certification learning. AWS Certified Cloud Practitioner CLF-C02 Cert Guide from Pearson IT Certification helps you prepare to succeed on the AWS Certified Cloud Practitioner CLF-C02 exam by directly addressing the exam's objectives as stated by AWS. Leading cloud instructor Anthony Sequeira shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. This complete study package includes Complete coverage of the exam objectives and a test-preparation routine designed to help you pass the exams Do I Know This Already? quizzes, which allow you to decide how much time you need to spend on each section Chapter-ending Key Topic tables, which help you drill on key concepts you must know thoroughly The powerful Pearson Test Prep Practice Test software, complete with hundreds of well-reviewed, exam-realistic questions, customization options, and detailed performance reports An online, interactive Flash Cards application to help you drill on Key Terms by chapter A final preparation chapter, which guides you through tools and resources to help you craft your review and test-taking strategies Study plan suggestions and templates to help you organize and optimize your study time Well regarded for its level of detail, study plans, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that ensure your exam success. This study guide helps you master all the topics on the AWS Certified Cloud Practitioner CLF-C02 exam, deepening your knowledge of: Cloud Concepts: benefits; design principles; migration strategies; cloud economics Security and Compliance: AWS shared responsibility model; security, governance, and compliance concepts; access management; security features and services Cloud Technology and Services: deploying and operating in the AWS Cloud; AWS global infrastructure; compute, database, network, and storage services; AWS AI/ML services and analytics services Billing, Pricing, and Support: pricing models; billing, budget, and cost management; technical resources and support options
Network Simulation and Evaluation
This book constitutes the refereed proceedings of the Second International Conference on Network Simulation and Evaluation, NSE 2023, held in Shenzhen, China in November 2023. The 52 full papers presented in this two volume set were carefully reviewed and selected from 72 submissions. The papers are organized in the following topical sections: CCIS 2063: Cybersecurity Attack and Defense, Cybersecurity Future Trends, Cybersecurity Infrastructure, Cybersecurity Systems and Applications. CCIS 2064: Cybersecurity Threat Research, Design and Cybersecurity for IoT Systems, Intelligent Cyber Attack and Defense, Secure IoT Networks and Blockchain-Enabled Solutions, Test and Evaluation for Cybersecurity, Threat Detection and Defense.​​​​​​​
Advanced Intelligent Computing Technology and Applications
This 13-volume set LNCS 14862-14874 constitutes - in conjunction with the 6-volume set LNAI 14875-14880 and the two-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Inclusive Intelligence
Transform Lives with Cutting-Edge AIDive into a revolutionary exploration of how artificial intelligence is reshaping the lives of people with disabilities. This compelling book offers a profound journey, blending heartwarming real-life stories with cutting-edge technological advancements, designed to captivate and inspire.Imagine a world where everyone is part of the digital revolution. With an eloquent introduction to various disabilities and the historical evolution of AI, this book sets a solid foundation. You will gain a deep understanding of the challenges faced by individuals with disabilities and the groundbreaking AI technologies that promise to overcome these barriers.Discover the intersection of AI and disability. From intelligent assistive devices to AI-powered personal aides, delve into fascinating case studies and examples that illustrate how AI is transforming everyday lives. Witness the advancement of AI tools designed for visual, hearing, mobility, and cognitive impairments, offering unparalleled independence and accessibility. Uncover how smart assistants are revolutionizing daily living, enhancing communication, and creating personalized learning environments for diverse needs.Explore the ethical dilemmas and regulations shaping the future. Learn about the legal and ethical considerations, privacy concerns, and the principles of inclusive design that guide the development of fair and accessible AI systems. This book highlights the collaborative efforts of governments, NGOs, and communities in fostering an inclusive AI ecosystem, ensuring that no one is left behind.Filled with personal stories and international case studies, Inclusive Intelligence: AI for People with Disabilities paints a vivid picture of the current landscape and future potential of AI in enhancing accessibility. Whether you are an AI enthusiast, a disability advocate, or simply curious about the future of technology, this book is your gateway to a more inclusive world.Take the first step towards understanding and embracing the transformative power of AI. Embark on a journey that promises to inform, engage, and inspire.
Data Independence
In a world where every interaction and transaction leave a digital footprint, our personal data has become the new currency. But who really benefits from this wealth of information? Join the data independence movement and reclaim your data power. Your data, your rules, your "data vote."
Advanced Intelligent Computing Technology and Applications
This 13-volume set LNCS 14862-14874 constitutes - in conjunction with the 6-volume set LNAI 14875-14880 and the two-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Advanced Intelligent Computing Technology and Applications
This 13-volume set LNCS 14862-14874 constitutes - in conjunction with the 6-volume set LNAI 14875-14880 and the two-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Research Advances in Intelligent Computing
The book contains the most recent research on machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems, and other related topics. This book provides the most recent developments in AI as well as IC.
AWS Certified Developer Associate Certification and Beyond
Prepare to achieve the AWS Certified Developer - Associate certification and learn everything you need to advance your career in AWS development with this in-depth guideKey Features: - Gear up for a thriving career in AWS development with this hands-on guide- Put your newfound knowledge into action with practical labs- Develop, deploy, and debug cloud-based applications using AWS core services- Purchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tips, and the eBook PDFBook Description: Becoming an AWS Certified Developer is a rewarding, but challenging endeavor. With AWS' vast capabilities and abundant resources, finding the right study material and a clear path to success can be daunting. AWS Certified Developer Associate Certification and Beyond is a one-stop guide that not only sets you up for success in the exam, but also lays the foundations for a fulfilling career in the world's most popular cloud infrastructure.This in-depth guide covers everything you need to know to pass the AWS Certified Developer - Associate exam and allows you to test yourself as you go, with knowledge checks throughout the book. You will learn to configure Elastic Load Balancing for high availability, monitor your applications with CloudWatch, and integrate authentication with Amazon Cognito.Additionally, this book grants lifetime access to online exam resources, including mock exams with exam-like timers, detailed solutions, flashcards, and invaluable exam tips, all accessible across PCs, tablets, and smartphones.By the end, you'll be ready to ace the exam and elevate your AWS application development and management skills, positioning yourself for career advancement.What You Will Learn: - Host static website content using Amazon S3- Explore accessibility, segmentation, and security with Amazon VPC- Implement disaster recovery with EC2 and S3- Provision and manage relational and non-relational databases on AWS- Deploy your applications automatically with AWS Elastic Beanstalk- Use AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline for DevOps- Manage containers using Amazon EKS and ECS- Build serverless applications with AWS Lambda and AWS Cloud9Who this book is for: If you're an IT professional or a developer preparing to take the AWS Certified Developer Associate exam, this book is for you. Developers looking to build and manage their applications on the AWS platform will also find this book useful. No prior AWS experience is needed.Table of Contents- Introduction to AWS Accounts and Global Infrastructure- Securing Access with AWS Identity and Access Management- Understanding Object Storage with Amazon S3, Hybrid Storage, and Static Website Hosting - Building Private Networks in the Cloud with Amazon VPC- Understanding AWS Compute Services with Amazon EC2 and Storage Options- Managing Multiple Datasets with AWS Relational and Non-Relational (NoSQL) Databases- Building Application Solutions with High Availability, Elasticity, and Data Security- Event-Driven Computing with AWS Lambda and Securing Access to Backend APIs with Amazon API Gateway- Incorporating Edge Network Services to Connect to Your Application with Amazon CloudFront and Route 53- Designing Deployment Strategies with AWS Elastic Beanstalk- Deploying a Multi-Tier Application Stack with Amazon ECS, Fargate, and EKS- Getting to Grips with DevOps Using AWS CI/CD Tools- Building Infrastructure Using Code with CloudFormation and the Cloud Development Kit (CDK)(N.B. Please use the Read Sample option to see further chapters)
Microsoft Intune Administration
DESCRIPTION This book is outlined in a way that will help the readers learn the concepts of Microsoft Intune from scratch, covering the basic terminologies used. It aims to start your Intune journey in the most efficient way to build your career and help you upscale existing skills. It not only covers the best practices of Microsoft Intune but also co-management and migration strategy for Configuration Manager. Readers will understand the workload feature of SCCM and learn how to create a strategy to move the workload steadily. The book includes all practical examples of deploying applications, updates, and policies, and a comparison of the same with on-premises solutions including SCCM/WSUS/Group Policy, etc. Troubleshooting aspects of Intune-related issues are also covered.The readers will be able to implement effective solutions to their organization the right way after reading the book. They will become confident with device management and further expand their career into multiple streams based upon the solid foundation.WHAT YOU WILL LEARN● Microsoft Intune basics and terminologies.● Setting up Microsoft Intune and integration with on-premises infrastructure.● Device migration strategy to move away from on-premises to cloud solution.● Device configuration policies and settings.● Windows Autopilot configuration, provisioning, and deployment.● Reporting and troubleshooting for Intune-related tasks.WHO THIS BOOK IS FORThis book targets IT professionals, particularly those managing devices, including system administrators, cloud architects, and security specialists, looking to leverage Microsoft Intune for cloud-based or hybrid device management.
MuleSoft Platform Architect's Guide
Unlock the power of Anypoint Platform by leveraging MuleSoft methodology, Accelerators, runtime engines, and management tools to deliver secure, high-value APIs and integration solutions across the enterprise Key Features: - Discover Anypoint Platform's capabilities for creating high-availability, high-performance APIs- Learn about AnyPoint architecture and platform attributes for Mule app deployment- Explore best practices, tips, and tricks that will help you tackle challenging exam topics and achieve MuleSoft certification- Purchase of the print or Kindle book includes a free PDF eBookBook Description: We're living in the era of digital transformation, where organizations rely on APIs to enable innovation within the business and IT teams are asked to continue doing more with less. As such, this book will help you deliver a robust, secure, and flexible enterprise API platform, supporting any required business outcome.You'll begin by understanding Anypoint Platform's architecture and its capabilities for a modern integration approach. Then, you'll learn how to align business outcomes with functional requirements and how non-functional requirements influence the shape of the architecture. You'll also explore how Catalyst and Accelerators can be leveraged successfully, enabling efficient development cycles. As you progress, you'll become familiar with hassle-free deployment and hosting APIs in CloudHub 1.0/2.0, Runtime Fabric Manager, and a hybrid customer-hosted environment. You'll discover advanced operating and monitoring techniques with API Manager and Anypoint Monitoring. The concluding chapters will offer guidance and best practices on how to tackle complex topics, which will also be useful in helping you pass the challenging MuleSoft Certified Platform Architect exam.By the end of this book, you'll understand Anypoint Platform's capabilities and be able to architect solutions that deliver the desired business outcomes.What You Will Learn: - Understand Anypoint Platform's integration architecture with core components- Discover how to architect a solution using Catalyst principles- Explore best practices to design an application network- Align microservices, application networks, and event architectures with Anypoint Platform's capabilities- Identify non-functional requirements that shape the architecture- Perform hassle-free application deployment to CloudHub using the Mule Maven plugin, CLI, and Platform API- Understand how to manage the API life cycle for MuleSoft and non-MuleSoft APIsWho this book is for: This book is for technical and infrastructure architects with knowledge of integration and APIs who are looking to implement these solutions with MuleSoft's Anypoint Platform. Architects enrolled in the platform architect course who want to understand the platform's capabilities will also find this book helpful. The book is also a great resource for MuleSoft senior developers transitioning to platform architect roles and planning to take the MuleSoft Platform Architect exam. A solid understanding of MuleSoft API development, ideally 3 to 5 years of experience with the platform, is necessary.Table of Contents- What is the MuleSoft Platform?- Platform Foundation Components and the Underlying Architecture- Leveraging Catalyst and the Mulesoft KnowledgeHub- An Introduction to Application Networks- Speeding with Accelerators- Aligning Desired Business Outcomes to Functional Requirements- Microservices, Application Networks, EDA, and API-led Design- Non-Functional Requirements Influence in Shaping the API Architecture(N.B. Please use the Read Sample option to see further chapters)
Exam Ref Az-204 Developing Solutions for Microsoft Azure
Prepare for Microsoft Exam AZ-204 and demonstrate your real-world knowledge of Microsoft Azure solution development. Designed for working Azure developers, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Solutions Associate level. Focus on the expertise measured by these objectives: Develop Azure compute solutions Develop for Azure storage Implement Azure security Monitor, troubleshoot, and optimize Azure solutions Connect to and consume Azure services and third-party services This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you want to validate your ability to design and build diverse Microsoft Azure solutions both on-premises and in the cloud About the Exam Exam AZ-204 focuses on knowledge needed to implement IaaS and PaaS solutions; create Azure App Service web apps; implement Azure Functions; develop solutions using Cosmos DB and Blob Storage; create user authentication, authorization, and secure cloud solutions; integrate caching and content delivery within solutions; instrument solutions to support monitoring and logging; develop an App Service logic app; implement API Management; develop event-based and message-based solutions. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Developer Associate credential, demonstrating your readiness to design, build, test, and maintain Microsoft Azure cloud solutions, and partner with other cloud professionals and clients to implement them. See full details at: microsoft.com/learn
Cooperative Design, Visualization, and Engineering
This book constitutes the proceedings of the 21st International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2024, held in Valencia, Spain, in September 2024. The 34 full papers and 5 short papers presented were carefully reviewed and selected from 74 submissions. The papers cover a wide application spectrum including AI technology, cooperative engineering, basic technologies for cooperative applications, IOT internet of things, block chain technology, sensor networks, and more.
Web Information Systems and Applications
This book constitutes the refereed proceedings of the 21st International Conference on Web Information Systems and Applications, WISA 2024, held in Yinchuan, China, during August 2-4, 2024. The 39 full papers and 11 short papers presented in this book were carefully selected and reviewed from 193 submissions. These papers have been organized in the following topical sections: Knowledge construction; Intelligent service; Intelligent computing; Large language model; Security; Information system applications.
