Mastering Visual Studio 2022
Explore real-world examples, from web development to ML and MAUI, and unlock the full potential of the .NET ecosystemKey Features: - Build robust, testable, and maintainable solutions seamlessly with Visual Studio 2022- Master Visual Studio tools for your web, cloud, ML, and cross-platform development needs- Learn to collaborate effortlessly and deploy continuously for enhanced productivity- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Mastering Visual Studio, one of the fastest and most comprehensive integrated development environments (IDEs), is crucial for building efficient, scalable, and modern apps. Written by a seasoned technical expert in .NET with over a decade of experience, Mastering Visual Studio 2022 helps you leverage the full capabilities of this powerful IDE.Packed with step-by-step guidance and self-assessment tools, this book adopts a practical approach to helping you advance your Visual Studio expertise. You'll explore complex topics such as debugging, testing, extension development, and CI/CD, and gain practical insights to enhance your skills. The book covers advanced coding analysis and refactoring techniques that will help improve code quality and maintainability. You'll also get to grips with Visual Studio's capabilities for multi-platform development; integrating machine learning models; and cloud development with Azure, AWS, and Google Cloud. You'll master Git workflows, conflict resolution, and DevOps practices with GitHub Actions and Azure DevOps, ensuring seamless team collaboration and efficient deployment pipelines.By the end of this book, you'll have become proficient in Visual Studio 2022, as well as being able to craft your own customized experience and confidently create robust, high-quality applications.What You Will Learn: - Understand unit testing and apply test-driven development (TDD) within Visual Studio- Familiarize yourself with code analysis and refactoring- Explore web, cross-platform, machine learning, and cloud development- Implement advanced Git workflows, CI/CD, and DevOps practices- Containerize applications for Docker within Visual Studio- Find out how to integrate machine learning into your project- Tailor the IDE to your specific needs to build custom experiencesWho this book is for: This book is for experienced software developers and engineers who want to enhance their skills with Visual Studio 2022. It is particularly useful for individuals who are already familiar with .NET, especially C#. Whether you're a software architect, senior developer, or team lead, this book will help you master the intricacies of Visual Studio 2022 and take your programming abilities to the next level.Table of Contents- Unit Testing and Test-Driven Development- Advanced Debugging Strategies- Advanced Code Analysis and Refactoring- Performance Optimization and Profiling- Multi-Platform App UI Development- Advanced Web Development Tools- Machine Learning Integration- Advanced Cloud Integration and Services- Handling Advanced Git Workflows- Continuous Integration with GitHub Actions- Collaborative Development with Azure DevOps- Visual Studio Container Tools for Docker- Writing Your Own Project Template- Writing Your Own Visual Studio Extensions- Creating and Publishing Powerful NuGet Packages for the Community
Deep Thinking in the Age of AI
Machines are Thinking . . . Are You? . . . As artificial intelligence and automation rapidly take over routine tasks, the most valuable skills you can possess are uniquely human-critical thinking, deep focus, and the ability to solve complex problems. "Deep Thinking in the Age of AI: Why Critical Thinking and Deep Focus are Essential in a Machine-Driven World" is your definitive guide to mastering these essential skills and staying ahead in an era of unprecedented technological change. As artificial intelligence transforms industries and reshapes the job market, those who can think critically and maintain deep focus will have a distinct advantage. This book offers practical strategies to help you develop these crucial skills, ensuring you not only survive but thrive in the AI revolution. What You'll Discover: The Paradox of Progress: Understand why, as technology makes life easier, the need for deep thinking becomes more critical than ever before.Develop Critical Thinking Skills: Learn how to sharpen your mind, evaluate complex information, and make smarter decisions in a world overflowing with data and distractions.Master Deep Focus: Discover techniques to cultivate deep focus, allowing you to complete high-value work efficiently and achieve mastery in your field.Adapt to the AI Job Market: Gain insights into the future of work, the roles that will be most affected by AI, and how to stay relevant and competitive by continually evolving your skill set.Universal Basic Income (UBI) and AI: Explore the thought-provoking debate on UBI as a solution to AI-induced job displacement and its potential to redefine the future of work. Who Should Read This Book?Professionals and Entrepreneurs: Stay ahead of the curve by mastering the skills that will be most valuable in an AI-driven world.Students and Lifelong Learners: Prepare for the future by developing critical thinking and deep focus-skills that will set you apart in your studies and future career.Leaders and Innovators: Equip yourself with the tools to navigate the complexities of AI, leading your team or organization to success in a rapidly changing landscape. Why This Book?In a time when distractions are everywhere and AI is transforming the way we live and work, this book is a powerful resource for anyone looking to enhance their cognitive abilities and stay relevant. With clear, actionable advice, "Deep Thinking in the Age of AI" is not just a book-it's a blueprint for thriving in a world driven by machines. Are you ready to lead in the age of AI? Order your copy today and take the first step towards mastering the skills that will define your future.
Learning to Flourish in the Age of AI
This timely book affirms that humans can flourish in the Age of AI by relying on their distinctive strengths, and explores the skills and knowledge that are required to interact effectively, efficiently, and responsibly with AIs, both today and in the future.In Part I, this book develops the "Cognitive Amplifier Loop," which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking, creative problem solving, and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships, addressing emotional intelligence, effective communication, leadership, followership, and collaboration skills. Finally, Part III builds on previous chapters to consider how to interact with AIs to help each of us learn and grow. Throughout the book, Kosslyn provides practical strategies and AI-assisted exercises to help readers develop these essential skills and knowledge. Kosslyn argues that by cultivating distinctively human capabilities, we can not only coexist with AI but flourish in an AI-infused world.This book is a must-read for anyone involved with AI, education, or Learning and Development in industry. It will also appeal to anyone studying thinking and decision making, AI and psychology, and the use of technology in the classroom.
Starting Your Software Testing Career
Do you want to become a Software Tester but not sure where to start?Do you want to up-skill so you remain relevant in today's job market?Once you have landed a role as a Software Tester, how do you ensure you thrive in the role?In this book, I will share the different paths you can take towards becoming a software tester, useful ways you can up-skill along with what I wish I knew in my first year of testing.After reading this book you'll also be able to: Understand the difference between Test Cases, Exploratory Testing and Ad Hoc Testing and when one approach is more suitable than the otherWrite an effective bug reportUnderstand the benefits of learning test automation along with when you should and shouldn't write test automationTest against implicit requirementsAdvocate for testabilityHelp prevent bugs from being written
Urban Artificial Intelligence
Tan Yigitcanlar offers a comprehensive exploration of artificial intelligence's (AI) role in shaping modern cities. This volume delves into how AI-driven analytics and big data provide city planners with deeper insights, enabling more informed decision-making. These insights lead to more efficient resource use, improved public services, and better infrastructure management.In the digital age, AI is revolutionising various sectors, fundamentally altering our approach to problem-solving and innovation. AI's transformative power spans industries from healthcare to finance, and now, it is poised to redefine urban planning and development. Urban areas, as the epicentres of human activity and progress, face myriad challenges such as population growth, resource management, environmental sustainability, and infrastructure development. Traditional methods often fall short in addressing these complexities, making the integration of AI an essential frontier. Comprising seven extensive and insightful chapters, this volume bridges the gap between the theoretical potential and practical implementation of AI in urban contexts. It covers foundational concepts of urban AI, examines its applications across different domains, and explores how AI can improve urban life through smarter home technologies and personalised public services.This first volume is complemented by Urban Artificial Intelligence: A Guidebook for Understanding Perceptions and Ethics, which delves into the ethical and perceptual dimensions of AI in urban settings. Together, these volumes provide a holistic view of urban artificial intelligence, offering essential insights for urban planners, policymakers, researchers, and anyone interested in the intersection of AI and urban development.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Urban Artificial Intelligence
This volume thoroughly explores the perceptions and ethical considerations surrounding urban artificial intelligence (AI). Tan Yigitcanlar delves into the complex public and professional views on AI, offering invaluable insights for policymakers, urban planners, and developers.As the world rapidly advances technologically, the role of AI has become increasingly significant. AI's transformative power spans various sectors, revolutionising how we operate and innovate in fields such as healthcare, finance, agriculture, and space exploration. Despite its wide-reaching impact, the integration of AI into urban planning and development remains relatively underexplored. This is surprising given AI's immense potential to revolutionise urban design, management, and experience. Comprising eight comprehensive and insightful chapters, this book examines AI's role in urban contexts, including its applications, public perceptions, and ethical implications. The first part of the guidebook delves into varied perceptions of AI within different urban sectors, presenting detailed perception analyses on AI's role in urban planning, local government services, disaster management, and the construction industry. The second part shifts focus to the ethical implications and responsible implementation of AI in urban settings. It provides frameworks and strategies to ensure AI technologies contribute positively to urban development while mitigating potential risks and ethical concerns.This volume, alongside its companion Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies, offers a holistic view of Urban Artificial Intelligence. Together, these books provide essential insights for urban planners, policymakers, researchers, and anyone interested in AI and urban development, guiding responsible AI integration to foster smarter, more sustainable, and equitable urban environments.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Artificial Intelligence Techniques in Power Systems Operations and Analysis
An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties.Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering.Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies.Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation
Advancements in AI and Iot for Chip Manufacturing and Defect Prevention
This is essential reading for semiconductor professionals seeking to expand their knowledge on silicon processes, understand defect prevention, and explore optimizing processes by reducing defects using AI and IoT technologies. It charts a course where semiconductor manufacturing defects are minimized and maximizes productivity.
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; object recognition; motion estimation.
Haptics: Understanding Touch; Technology and Systems; Applications and Interaction
The two-volume set LNCS 14768 + 14769 constitutes the refereed proceedings of the 14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024, held in Lille, France, during June 30 - July 3, 2024. The 81 full papers presented were carefully reviewed and selected from 142 submissions. They were organized in topical sections as follows: understanding touch; technology and systems; applications and interaction.
Computational Intelligence for Cybersecurity Management and Applications
As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book's explanations of key topics. It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.
Haptics: Understanding Touch; Technology and Systems; Applications and Interaction
The two-volume set LNCS 14768 + 14769 constitutes the refereed proceedings of the 14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024, held in Lille, France, during June 30 - July 3, 2024. The 81 full papers presented were carefully reviewed and selected from 142 submissions. They were organized in topical sections as follows: understanding touch; technology and systems; applications and interaction.
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.
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 Intelligence Over Infrared Images for Medical Applications
This book constitutes the refereed proceedings of the Third International Conference on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2024, held as a virtual event, on November 9, 2024. The 11 full papers presented in these proceedings were carefully reviewed and selected from 27 submissions. These papers focus on the application of Artificial Intelligence in medical infrared imaging for cancer screening, cancer diagnosis, cancer risk assessment, treatment monitoring, sports injury, diabetic foot ulcers detection, and pain management.
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.
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.
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.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
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.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
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.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
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.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Artificial Intelligence Techniques and Optimization
The document you uploaded appears to be a textbook on Artificial Intelligence techniques and optimization processes, written by Dr. G. Kumaresan. The book covers various topics in AI, including state-space search, adversarial search, propositional and predicate logic, and optimization algorithms. It also delves into different learning methods such as supervised, unsupervised, and reinforcement learning, as well as neural networks and ensemble learning techniques. If you are asking for a specific description related to a particular section of the document, please clarify which topic or area you want a detailed description of, and I can assist you accordingly. If you are referring to the overall description of the book, I can summarize the contents as follows: Focus: The book is aimed at exploring artificial intelligence techniques and their optimization processes. It provides insights into how AI systems solve complex problems, enhance decision-making, and optimize performance in various applications.Target Audience: This is intended for beginners and those looking to understand the fundamental principles of AI. It also seems suitable for advanced readers looking for practical implementations of AI algorithms. Content Breakdown: The book explains search algorithms, learning methods (including neural networks and reinforcement learning), and AI's role in solving real-world problems like optimization. Let me know how you'd like to proceed or if you have a specific section in mind!
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.
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.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
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.
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.
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.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 upto 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 and 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; object recognition; 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.
Centaur Art
Generative AI is transforming the landscape of numerous industries, and the creative fields are no exception. As the figurative arts become a focal point in the ongoing debate, this book explores hybrid and centauric intelligence-an integration of human and artificial intelligence. Through parallel and complementary directions, it investigates the general concept of this hybrid intelligence and its specific application in the artistic realm, highlighting the unprecedented creativity and innovation that can emerge from this synergy. Additionally, it addresses the economic tensions and legal disputes, particularly around copyright, that arise from the impact of new technologies in the creative sector. The result is a comprehensive overview of the hybridization paradigm by analyzing the operational and creative methods of artists and creators who have embraced generative AI. The author examines the implications of the recent developments, offering readers an understanding of how AI can support human creativity rather than replace it. Thus, a compelling vision of the future unfolds, one in which artists and AI collaborate, pushing the boundaries of what is artistically achievable. Whether you are a seasoned professional looking to incorporate AI into your creative process or a curious reader intrigued by the convergence of art and technology, the book will provide valuable insights and inspire you to explore the fascinating intersection of human creativity and artificial intelligence and the future it heralds for the art world.
How to Establish a System Engineering and Technical Assistance (SETA) Line of Business (LOB) Within a Small Company
Large companies already have an established System Engineering and Technical Assistance (SETA) Line of Business. This book is a quick look at bringing a SETA Line of Business into your small business enterprise so as to better align your company and your employees with the recognition that a Prime (large) contractor or the U.S. Federal Government will require of you. With the added templates in Appendix A, you now have a guide as to what you should see in each deliverable, whether assessing another company's deliverable for your client or for writing your own.
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.
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.
