Gender and Diversity Policy in AI
This unique compendium explores the crucial role of inclusivity in the development, deployment, and governance of artificial intelligence systems. It addresses the growing ethical and social concerns surrounding the lack of representation in AI, emphasizing how gender and diversity are integral to creating fair, responsible, and innovative technologies.The book delves into the ethical, social, and economic benefits of promoting diversity in AI teams and research. Covering a wide range of topics, from data biases to global policy frameworks, and through case studies and real-world examples, it illustrates both the successes and challenges in achieving gender and diversity in the field.This useful reference text is designed for academics, AI professionals, policymakers, and corporate leaders of machine learning and AI, and innovation and technology.
Probing the Past with Data Analytics and AI
This comprehensive compendium explains the technical challenges and opportunities behind the most recent and successful applications in artificial intelligence [AI] and data analytics. It focuses on applications that have the power to be adapted to many different fields and explains how AI can be implemented as an assistant in digital humanities. It also introduces new methods and applications in classification trees, networks, and Bayesian learning.The useful reference text benefits professionals, academics, researchers, and graduate students in AI/machine learning, neural networks, and bioinformatics, and digital humanities.
Data Engineering for AI
Data engineering is the critical discipline of building and maintaining the systems that enable organizations to collect, store, process, and analyze vast amounts of data, especially for advanced applications like AI and ML. It is about ensuring that it is reliable, accessible, and high-quality for everyone who needs it.This book provides a thorough exploration of the complete data lifecycle, starting with data engineering's development and its vital link to AI. It provides an overview of scalable data practices, from legacy systems to cutting-edge techniques. The reader will explore real-time data collection, secure ingestion, optimized storage, and dynamic processing techniques. The book features detailed discussions on ETL and ELT frameworks, performance tuning, and quality assurance that are complemented by real-world case studies. All these empower the data engineers to design systems that are seamless and integrate well with AI pipelines, driving innovation across diverse industries.By the end of this book, readers will be well-equipped to design, implement, and manage scalable data engineering solutions that effectively support and drive AI initiatives within any organization.WHAT YOU WILL LEARN● Design real-time data ingestion and processing systems.● Implement optimized data storage solutions for AI workloads.● Ensure data quality, compliance in dynamically changing environments.● Build scalable data collection methods, including for AI training data.● Apply data engineering solutions in complex, real-world AI projects.● Conduct SQL analytics and craft insightful, AI-driven visualizations.WHO THIS BOOK IS FORThis book is for data engineers, AI practitioners, and curious professionals with a foundational understanding of databases, programming, and ETL processes. A basic understanding of computer science concepts, cloud computing, and analytics is helpful.
New Technologies, Development and Application VIII
This book provides a comprehensive overview of the latest technological achievements, their development and practical applications in various industries. In a world that is constantly changing, technology is the driving force behind progress. This book contains papers focusing on the implementation of new and future technologies, which were presented at the International Conference on New Technologies, Development and Application--Advanced Manufacturing Processes and Intelligent Systems, held at the Academy of Sciences and Arts of Bosnia and Herzegovina in Sarajevo from 26 to 28 June 2025. Through clear and concise analyses, the authors explore key innovations such as robotics, artificial intelligence, internet of things, blockchain, biotechnology and sustainable solutions. Furthermore, new business methods are emerging that are transforming production systems, transportation, delivery and consumption, which every company involved in the global market should monitor and implement. The book offers in-depth insight into how these technologies are transforming business, education, health care and everyday life. Whether you're a professional looking to stay up to date with the latest trends, a student exploring future career opportunities, or an enthusiast interested in technological change, this book provides useful information and practical, real-world examples. Don't let the future surprise you--find out how new technologies are shaping the world and how you can apply them today.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Pattern Recognition
This book constitutes the proceedings of the 17th Mexican Conference on Pattern Recognition, MCPR 2025, held in Guanajuato, Mexico, during June 25-28, 2025. The 36 full papers presented in this volume were carefully reviewed and selected from 70 submissions. They are grouped into the following topics: Pattern Recognition and Machine Learning Techniques; Language Processing and Recognition; Computer Vision; Medical Applications of Pattern Recognition; Reinforcement Learning; Deep Learning and Neural Networks.
Artificial Intelligence Applications and Innovations. Aiai 2025 Ifip Wg 12.5 International Workshops
This 2-volume set constitutes the refereed proceedings of International Workshops, held as parallel events of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, held in Limassol, Cyprus, during June 26-29, 2025. The 44 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 117 submissions. The AIAI 2025 conference hosts several workshops that support innovative research on various specific and hot scientific domains every year. These satellite events offer a deep insight into both rapid advances and timely creative applications of AI.
Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
Ultimate Bitbucket for Automating Workflows
Transform Your Software Delivery with Bitbucket Cloud Automation. Book DescriptionBitbucket Cloud is at the heart of modern DevOps-powering secure, scalable, and collaborative development for teams worldwide. Ultimate Bitbucket for Automating Workflows is your hands-on guide to mastering this essential platform and transforming your software delivery lifecycle from manual to automated, from fragmented to fully integrated. Through ten practical chapters, this book takes you on a complete journey-from learning Git basics and managing pull requests to automating CI/CD pipelines, integrating Jira for seamless project tracking, and enforcing security with AI-assisted code reviews. You'll dive into advanced features like Bitbucket Pipelines, deployment strategies with self-hosted runners, working with APIs, and extending your workflows using Atlassian Forge. Whether you're a beginner trying to get Git-savvy or a DevOps engineer seeking to scale automation, this book equips you with real-world solutions and best practices to lead high-performing development teams. If you're not using Bitbucket to its full potential, you're already falling behind-don't miss the opportunity to stay ahead. Table of Contents1. Getting Started with Git2. Overview of Bitbucket Cloud3. Comprehensive Guide to Pull Requests4. Bitbucket Administration and Jira Integration5. Bitbucket Advanced Code Review Features6. Mastering Bitbucket Pipelines and CI/CD Integration7. Pipelines Deployments and Self-Hosted Runners8. Code Quality, Security, and Integrations in Bitbucket Cloud9. Bitbucket Cloud APIs10. Integrating Forge in Bitbucket Cloud Index
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
SharePoint Online Administrator Playbook
SharePoint Online is Microsoft's powerful cloud platform for collaboration, document management, and communication, driving digital workplaces worldwide. Understanding its administration is critical for any organization leveraging Microsoft 365, making this SharePoint Online Administrator Playbook your essential guide to expert-level management.This playbook systematically covers every facet of SharePoint Online administration, starting with an in-depth tour of the SharePoint admin center and understanding the administrator scope. You will learn core site administration, including creation, deletion, permissions, sharing, hub site association, and reporting. The book explores access control policies, alongside managing default settings for pages, notifications, site creation, and storage limits. It guides you through content services like term store and content type gallery management, effective migration strategies using Migration Manager, and user profile administration. Finally, you will explore Business Connectivity Services for BDC models and external content types across online and on-premises connections, Secure Store ID management, records management, and configuring SharePoint hybrid using the hybrid picker.Upon completing this playbook, you will possess the practical knowledge and confidence to competently administer and optimize SharePoint Online environments, enhancing collaboration and security within your organization.WHAT YOU WILL LEARN● Understand SharePoint admin center navigation and core site collection management.● Configure site permissions, sharing, and access control policies.● Implement global SharePoint Online default settings for pages and storage.● Strategize and execute SharePoint Online content migration using Migration Manager.● Administer user profiles and optimize SharePoint search schema and query rules.WHO THIS BOOK IS FORThis book is ideal for SharePoint Online administrators and IT professionals managing Microsoft 365 environments. Readers should possess foundational knowledge of SharePoint concepts and basic Microsoft 365 administration.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Neural Information Processing
The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
CompTIA Network+ Certification Guide (Exam N10-009)
Network administrators are crucial in safeguarding data through cybersecurity, optimizing cloud resources, and ensuring secure remote connections, vital for maintaining seamless IT infrastructures. CompTIA Network+ Certification has become the industry standard for validating essential networking skills, making it crucial for IT professionals seeking to establish or advance their careers in network administration. Beginning with networking fundamentals including OSI models, TCP/IP protocols, and Wireshark analysis, it progresses through network topologies, cable installation, IP addressing, and subnetting practices. The second edition includes new content reflecting changes in the exam, such as evolving use cases for modern networks, important factors of physical installations, and additional details on implementing IPv4 and IPv6 network services. The content incorporates an acute awareness of security in network operations. Upon completing this guide, you will possess comprehensive Network+ knowledge and practical skills necessary to confidently pass the N10-009 exam and immediately contribute as a competent network administrator in any enterprise environment.WHAT YOU WILL LEARN● Gain a comprehensive understanding of the OSI model and its day-to-day application.● Learn about network performance monitoring techniques and strategies.● Implement wired, wireless, and remote technologies.● This new edition brings enhanced practical integration with hands-on Wireshark packet analysis and Cisco CLI configuration exercises.● Learn how to effectively work with IP addressing and subnetting for efficient network configuration.● Implement troubleshooting methodologies.WHO THIS BOOK IS FORThis book is designed for individuals who aspire to pursue a rewarding career in network administration. It caters to those who are interested in entering the field and aim to acquire the essential knowledge and skills necessary for success. Additionally, it serves as a valuable resource for emerging network support technicians who are currently working in or transitioning into this role.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development
The book looks at how artificial intelligence, geographic information systems, and multi-criteria decision making could be used to come up with strategies for building resilience and achieving sustainable development in the Asia-Pacific region.
Neural Information Processing
The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
Neural Information Processing
The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Neural Information Processing
The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
Emacs Writing Studio. A Practical Guide to Plain Text Writing and Publishing
Unlock the full potential of your writing process with Emacs Writing Studio, an indispensable guide for writers looking to break free from the constraints of conventional writing tools. Whether you're a novelist crafting intricate tales, a researcher assembling a technical report, or a multitasking author managing various projects, this book is your comprehensive resource for transforming your workflow, ensuring all your writing needs are met.Written by Peter Prevos, a seasoned author and Emacs enthusiast, Emacs Writing Studio demystifies the world of Emacs, a powerful and highly configurable text editor. This book is not just a manual; it's a carefully curated journey through Emacs' capabilities tailored specifically for writers. From ideation to publication, this guide walks you through every stage of the writing process, ensuring that you can focus on what truly matters-your content.With Emacs Writing Studio, you'll learn how to: Organise and Manage Ideas: Use Emacs' robust note-taking features to capture fleeting thoughts, develop them into substantial notes, and weave them into your manuscript.Streamline Writing Workflow: Write distraction-free in a plain text environment, reducing the clutter of modern word processors while enjoying the flexibility to customise your workspace.Export with Ease: Seamlessly publish your work in multiple formats, including PDF, HTML, and ePub, with the powerful export capabilities of Emacs' Org mode.Stay on Track: Manage your writing projects and deadlines effectively, leveraging Emacs' task management tools to keep everything in order.This guide is more than technical instructions-it's an invitation to rethink how you write. Emacs, known for its steep learning curve, becomes accessible with Prevos' guidance. It helps you master the essentials and gradually explore more advanced features as your confidence grows.Whether new to Emacs or looking to refine your existing setup, Emacs Writing Studio will be your go-to reference. It includes practical tips, real-world examples, and a fully annotated configuration that you can tailor to your specific needs, ensuring you're always prepared and ready to tackle your writing projects.Embrace a new way of writing. Equip yourself with the tools to write more efficiently, manage your work precisely, and publish effortlessly. Let Emacs Writing Studio be the companion that empowers your writing journey, giving you the confidence and control you need to succeed.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
The Art of AI Product Development
A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation. The Art of AI Product Development offers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinking--foundations that remain relevant as the field evolves. Inside The Art of AI Product Development, you will learn vital skills for the effective use of AI, including: - Identifying market and business opportunities for AI - Gaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systems - Assembling AI solutions that work, without the hype - Efficiently communicating with data scientists and ML engineers - Designing user-friendly AI interfaces that emphasize trust and transparency - Implementing safe, ethical AI with proper governance processes The Art of AI Product Development is written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You'll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications. About the technology Integrating AI into your software and processes can create real value for your business and its customers--if you do it right. When you're on the hook for delivering AI-enabled products, you'll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how. About the book The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects--even if you're tackling AI for the first time. You'll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability. What's inside - Ideate, shape, and prioritize AI opportunities - Develop AI systems with techniques such as prompt engineering, RAG, and predictive AI - Communicate with different AI stakeholders and promote AI adoption About the reader Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required. About the author Dr. Janna Lipenkova is the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen. Table of Contents Part 1 1 Creating value with AI-driven products 2 Discovering and prioritizing AI opportunities 3 Mapping the AI solution space Part 2 4 Predictive AI 5 Exploring and evaluating language models 6 Prompt engineering 7 Search and retrieval-augmented generation 8 Fine-tuning language models 9 Automating workflows with agentic AI Part 3 10 AI user experience: Designing for uncertainty 11 AI governance 12 Working with your stakeholders Appendix A AI development toolbox Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
Mathematical Foundations for Deep Learning
This book bridges the gap between theoretical mathematics and practical applications in AI. Whether you're aiming to develop practical skills for AI projects, advance to emerging trends in deep learning, or lay a strong foundation for future studies, this book serves as an indispensable resource for achieving proficiency in the field.
Artificial Intelligence Applications and Innovations
This four-volume set constitutes the proceedings of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, which was held in Limassol, Cyprus, during June 2025. The 123 full papers and 7 short papers were presented in this volume were carefully reviewed and selected from 303 submissions. They focus on ethical-moral AI aspects related to its Environmental impact, Privacy, Transparency, Bias, Discrimination and Fairness.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Engineering Applications of Neural Networks
The two-volume set CCIS 2581 and 2582 constitutes the refereed proceedings of the 26th International Conference on Engineering Applications of Neural Networks, EANN 2025, held in Limassol, Cyprus during June 26-29, 2025. The 41 full papers included in these proceedings were carefully reviewed and selected from 101 submissions. These papers demonstrate the vitality of Artificial Intelligence algorithms and approaches, as well as AI applications.
Engineering Applications of Neural Networks
The two-volume set CCIS 2581 and 2582 constitutes the refereed proceedings of the 26th International Conference on Engineering Applications of Neural Networks, EANN 2025, held in Limassol, Cyprus during June 26-29, 2025. The 41 full papers included in these proceedings were carefully reviewed and selected from 101 submissions. These papers demonstrate the vitality of Artificial Intelligence algorithms and approaches, as well as AI applications.
Functional Imaging and Modeling of the Heart
This two-volume set, LNCS 15672 and LNCS 15673, constitutes the refereed proceedings of the 13th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2025, held in Dallas, Texas, USA, during June 2-4, 2025. The 79 full papers presented in this book were carefully reviewed and selected from 93 submissions. These papers have been organized in the following topical sections: - Part I: Models for Electrophysiology, Arrhythmia and Their Sequalae; Biomechanics and Assessment of Cardiovascular Health; Model-Enhanced Data Acquisition and Processing. Part II: Multiscale & Multimodality Imaging; Image Processing and Visualization; Clinical Translations of Computational Modeling across Medical Specialties.
Functional Imaging and Modeling of the Heart
This two-volume set, LNCS 15672 and LNCS 15673, constitutes the refereed proceedings of the 13th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2025, held in Dallas, Texas, USA, during June 2-4, 2025. The 79 full papers presented in this book were carefully reviewed and selected from 93 submissions. These papers have been organized in the following topical sections: - Part I: Models for Electrophysiology, Arrhythmia and Their Sequalae; Biomechanics and Assessment of Cardiovascular Health; Model-Enhanced Data Acquisition and Processing. Part II: Multiscale & Multimodality Imaging; Image Processing and Visualization; Clinical Translations of Computational Modeling across Medical Specialties.
Gpt for Python-Coding in Computational Materials Science and Mechanics
Intelligent and Efficient Video Moment Localization
This book provides a comprehensive exploration of video moment localization, a rapidly emerging research field focused on enabling precise retrieval of specific moments within untrimmed, unsegmented videos. With the rapid growth of digital content and the rise of video-sharing platforms, users face significant challenges when searching for particular content across vast video archives. This book addresses how video moment localization uses natural language queries to bridge the gap between video content and semantic understanding, offering an intuitive solution for locating specific moments across diverse domains like surveillance, education, and entertainment. This book explores the latest advancements in video moment localization, addressing key issues such as accuracy, efficiency, and scalability. It presents innovative techniques for contextual understanding and cross-modal semantic alignment, including attention mechanisms and dynamic query decomposition. Additionally, the book discusses solutions for enhancing computational efficiency and scalability, such as semantic pruning and efficient hashing, while introducing frameworks for better integration between visual and textual data. It also examines weakly-supervised learning approaches to reduce annotation costs without sacrificing performance. Finally, the book covers real-world applications and offers insights into future research directions.
Advances in Knowledge Discovery and Data Mining
The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10-13, 2025. The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM track. 68 papers have been transferred to the4 DSFA special session. The papers have been organized in topical sections as follows: Part I: Anomaly Detection; Business Data Analysis; Clustering; Continual Learning; Contrastive Learning; Data Processing for Learning; Part II: Fairness and Interpretability; Federated Learning; Graph Mining and GNN; Learning on Scientific Data; Part III: Machine Learning; Multi-modality; OOD and Optimization; Recommender Systems; Representation Learning and Generative AI; Part IV: Security and Privacy; Temporal Learning; Survey; Part V: LLM Fine-tuning and Prompt Engineering; Fairness and Interpretability of LLMs; LLM Application; OOD and Optimization of LLMs.
Multi-Agent Systems
This book constitutes the refereed proceedings of the 21st European Conference on Multi-Agent Systems, EUMAS 2024, which took place in Dublin, Ireland, on August 26, 2024. The 24 full papers and 1 short paper included in this book were carefully reviewed and selected from 36 submissions. They were organized in topical sections as follows: Multi-Agent Based Simulation; Multi-Agent Learning; Knowledge Representation, Reasoning and Planning; Human-Agent Interaction; Coordination, Organisations, Institutions, Norms andEthics; and Engineering Multi-Agent Systems.
Advances in Knowledge Discovery and Data Mining
The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10-13, 2025. The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM track. 68 papers have been transferred to the4 DSFA special session. The papers have been organized in topical sections as follows: Part I: Anomaly Detection; Business Data Analysis; Clustering; Continual Learning; Contrastive Learning; Data Processing for Learning; Part II: Fairness and Interpretability; Federated Learning; Graph Mining and GNN; Learning on Scientific Data; Part III: Machine Learning; Multi-modality; OOD and Optimization; Recommender Systems; Representation Learning and Generative AI; Part IV: Security and Privacy; Temporal Learning; Survey; Part V: LLM Fine-tuning and Prompt Engineering; Fairness and Interpretability of LLMs; LLM Application; OOD and Optimization of LLMs.
Information Technology in Biomedicine
This book presents 10th International Conference Information Technologies in Biomedicine and shows research on Information Technologies in Medicine. The aim of this issue is to address the requirements for innovative technologies in computer-aided diagnosis and therapy and to indicate new areas of research, including the integration of multimodal data implemented in various fields of medical diagnostics. Fast and reliable data processing techniques able to deliver results in a user-friendly manner are discussed in three sections. First, the AI and Image Analysis Applications in Medicine section features AI-driven studies for image processing, including comparisons of deep learning models for nuclear detection and segmentation, and optimal scanning settings for biological samples. It also covers the importance of multimodal imaging analysis in radiological studies and chronic wound treatment. Then, Biomedical Signal Processing section investigates the effect of music on brain activity through EEG signal analysis. Artificial intelligence-assisted speech diagnostics in children focuses on sound segmentation and speech disorder detection. The effect of electronic cigarettes is tested by comparing the ECG of smokers and the control group. Finally, Modeling, Simulation, and Therapy Support section presents technologies in patient care, including telemedicine for rehabilitation, analysis of neurodegenerative diseases, and therapeutic applications of music. Models for supporting chronic wound treatment and amblyopia therapy are described. This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.
Data Science: Foundations and Applications
The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10-13, 2025. The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Advances in Knowledge Discovery and Data Mining
The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10-13, 2025. The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM track. 68 papers have been transferred to the4 DSFA special session. The papers have been organized in topical sections as follows: Part I: Anomaly Detection; Business Data Analysis; Clustering; Continual Learning; Contrastive Learning; Data Processing for Learning; Part II: Fairness and Interpretability; Federated Learning; Graph Mining and GNN; Learning on Scientific Data; Part III: Machine Learning; Multi-modality; OOD and Optimization; Recommender Systems; Representation Learning and Generative AI; Part IV: Security and Privacy; Temporal Learning; Survey; Part V: LLM Fine-tuning and Prompt Engineering; Fairness and Interpretability of LLMs; LLM Application; OOD and Optimization of LLMs.
ChatGPT
ChatGPT: Principles and Architecture bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to effectively leverage these technologies in their respective fields. In addition, it tackles the complexity of understanding large language models and their practical applications by demystifying underlying technologies and strategies used in developing ChatGPT and similar models. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, thus paving the way for innovative applications and solutions in their professional domains. Sections focus on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. It is ideal for the needs of industry professionals, researchers, and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies.
Introduction to Digital Human Modeling
Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications. The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries. Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.
Virtual, Augmented and Mixed Reality
This three-volume set, LNCS 15788-15790, constitutes the refereed proceedings of the 17th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2025, held as part of the 27th International Conference on Human-Computer Interaction, HCII 2025, in Gothenburg, Sweden, during June 22-27, 2025. The total of 1430 papers and 355 posters included in the HCII 2025 proceedings were carefully reviewed and selected from 7972 submissions. The papers presented in these three volumes are organized in the following topical sections:: Part I: Designing and Developing Virtual Environments; UX in Virtual Environments Part II: VR, Culture, Art and Entertainment; Social Interaction and Wellbeing in Virtual Environments Part III: VR Games; Virtual Environments for Learning, Training and Professional Development; Multimodal Interaction in Virtual Environments
Advances in Knowledge Discovery and Data Mining
The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10-13, 2025. The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM track. 68 papers have been transferred to the4 DSFA special session. The papers have been organized in topical sections as follows: Part I: Anomaly Detection; Business Data Analysis; Clustering; Continual Learning; Contrastive Learning; Data Processing for Learning; Part II: Fairness and Interpretability; Federated Learning; Graph Mining and GNN; Learning on Scientific Data; Part III: Machine Learning; Multi-modality; OOD and Optimization; Recommender Systems; Representation Learning and Generative AI; Part IV: Security and Privacy; Temporal Learning; Survey; Part V: LLM Fine-tuning and Prompt Engineering; Fairness and Interpretability of LLMs; LLM Application; OOD and Optimization of LLMs.
