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.
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.
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.
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.
Human-Computer Creativity
This pioneering volume showcases how generative AI has evolved from a mere tool to a creative partner, transforming the boundaries of innovation and collaboration across various disciplines. With contributions from 53 global experts spanning 21 countries, this comprehensive resource explores the transformative impact of AI on education, art, and healthcare. It reveals how AI enhances learning experiences, fosters new artistic expressions, and revolutionises patient care and medical research. Organised into five thematic parts, the book offers a balanced mix of conceptual frameworks, case studies, and practical insights, providing readers with a thorough understanding of how human ingenuity and artificial intelligence intersect to solve problems, inspire creativity, and redefine industries. Whether you are an academic, practitioner, or inquisitive reader, this volume invites you to engage with the cutting-edge possibilities of generative AI and embrace the future of human-computer collaboration.
Knowledge Management in Organisations
The two volume set CCIS 2562 and 2563 constitutes the proceedings of the 19th International Conference on Knowledge management in Organizations, KMO 2025, Kota Kinabalu, Malaysia, held during August 2025. The 42 full papers presented in these proceedings were carefully reviewed and selected from 86 submissions. The papers are organized in the following topical sections: Volume I: Knowledge transfer & sharing; knowledge in business & organization; innovation & knowledge creation; KM and education; and KM process and model. Volume II: Information & knowledge management systems; AI, IT & new trends in KM; and healthcare.
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.
Knowledge Management in Organisations
The two volume set CCIS 2562 and 2563 constitutes the proceedings of the 19th International Conference on Knowledge management in Organizations, KMO 2025, Kota Kinabalu, Malaysia, held during August 2025. The 42 full papers presented in these proceedings were carefully reviewed and selected from 86 submissions. The papers are organized in the following topical sections: Volume I: Knowledge transfer & sharing; knowledge in business & organization; innovation & knowledge creation; KM and education; and KM process and model. Volume II: Information & knowledge management systems; AI, IT & new trends in KM; and healthcare.
Argo CD: Up and Running
Learn how to manage Kubernetes clusters and application configurations with Argo CD, the easy-to-use open source GitOps engine. With this practical book, development teams will quickly gain a foundational understanding of Argo CD for deploying and managing containerized applications - without having to be a Kubernetes expert, and without needing full access to an existing Kubernetes environment. With the adoption of Kubernetes, the ability to effectively manage platform configurations has become a paramount concern. Authors Andrew Block from Red Hat and Christian Hernandez from Akuity show you how to apply GitOps practices with Argo CD to manage one or even thousands of Kubernetes environments with confidence. You'll start with a basic understanding of the Argo CD technology and quickly learn how to achieve faster and more secure deployments. With this book, you will: Learn the basics of applying GitOps principles to your Kubernetes environments Use Argo CD to manage Kubernetes configurations as well as the applications you deploy to the platform Manage the configurations of a single Kubernetes cluster or thousands of clusters Deploy Kubernetes resources using tools such as Kustomize and Helm Understand the importance of managing sensitive material and resources
Building a Resilient SAP Enterprise
SAP's transformation from on-premises solutions to cloud-first offerings represents a paradigm shift for enterprise architecture. RISE and GROW with SAP are redefining how organizations deploy, customize, and extend SAP applications in the cloud era, creating opportunities for innovation alongside new architectural challenges. This book navigates contemporary SAP solutions, ensuring that an enterprise remains robust and future-ready.This book takes you through modern SAP development, from clean core methodology and essential skill modernization for SAP developers and architects, alongside SAP's latest cloud deployment models like RISE and GROW. You will explore the entire SAP Development Platform, including SAP BTP, Build tools, and generative AI integration. The book then explores designing resilient SAP applications using low-code and no-code approaches, cloud extensibility with Steampunk and Embedded Steampunk, and ABAP cloud development with SAP APIs and ADT. Crucially, it also covers vital aspects of application security and cost management.By the end of this book, you will be equipped to architect resilient SAP solutions that leverage the combined power of SAP BTP and hyperscaler services, ensuring your enterprise can innovate rapidly while maintaining security, performance, and operational excellence in an increasingly complex cloud landscape.WHAT YOU WILL LEARN● Implement clean core methodology to maximize SAP upgrade efficiency. ● Navigate the RISE and GROW licensing models and technical implications.● Integrate SAP BTP with hyperscaler services for scalable solutions.● Leverage generative AI to enhance SAP business processes. ● Apply well-architected principles to SAP BTP applications. ● Manage security and costs across hybrid SAP landscapes.● Design highly available, resilient SAP applications with low-code/no-code.WHO THIS BOOK IS FORThis book is designed for SAP architects, developers, and technical leaders responsible for enterprise SAP transformation. It is ideal for professionals seeking to evolve from traditional ABAP development to modern cloud-native SAP implementation strategies.
AI Safety
Artificial Intelligence is transforming our world-but can we trust it to be safe, ethical, and aligned with human values?Embark on an exploration of AI's vast potential and the critical safeguards needed to ensure its responsible development. This book cuts through the noise of sensationalist fears and unchecked optimism, offering a grounded, evidence-based approach to AI safety that is essential for professionals, policymakers, and anyone interested in the future of technology.With AI now deeply embedded in decision-making processes, from hiring and healthcare to finance and national security, understanding its risks is no longer optional. This book provides a clear, structured framework to navigate AI safety concerns, covering key topics such as preventing algorithmic bias, ensuring data integrity, mitigating unintended consequences, and aligning AI systems with human ethics and values.Going beyond theory, AI Safety delivers practical strategies for individuals and organizations looking to implement AI responsibly. Readers will discover tested methodologies for building transparent, accountable AI models, strengthening regulatory compliance, and fostering human-AI collaboration in ways that enhance rather than endanger society.For business leaders, data professionals, and policymakers, this book offers indispensable guidance on creating AI systems that are not only innovative but also secure and aligned with legal and ethical standards. Learn how global frameworks, including the EU AI Act and IEEE Ethically Aligned Design, are shaping the AI landscape and what steps organizations must take to remain compliant.Through real-world case studies, AI Safety exposes the potential dangers of AI misuse, ranging from deepfake deception to AI-driven surveillance. It illustrates how robust safety measures can prevent these threats from becoming existential crises. Readers will gain insight into the legal, societal, and technical dimensions of AI governance, ensuring they remain ahead of the curve in this rapidly evolving field.A key takeaway from this book is the importance of designing AI with fairness, non-discrimination, and human oversight at its core. Readers will learn how to identify AI biases, develop more transparent decision-making processes, and implement robust monitoring systems that continually assess and improve AI performance.Whether you are an AI researcher, technology policymaker, or simply someone who interacts with AI systems daily, this book empowers you with the knowledge to contribute to a future where AI is a force for good-one that serves, rather than threatens, humanity.Join the growing movement advocating for responsible AI by equipping yourself with the insights and strategies found in AI Safety. The future of artificial intelligence is still being written-make sure your role in it is an informed and proactive one.
AI & U
AI isn't just a trend-it's a business essential. And you don't need to be a tech expert to make it work for you.In this practical, jargon-free guide, award-winning digital expert Tracy Sheen shows you how to reimagine your business with artificial intelligence. Whether you're looking to save time, streamline admin, improve customer experience, or innovate faster, AI & U gives you the tools to do it your way.Inside, you'll find: A structured roadmap to implement AI without losing your human touchActionable strategies to start using AI immediately-no technical knowledge neededInsights into using AI ethically, efficiently and strategicallyWith over 30 years in digital transformation, Tracy Sheen knows what it takes to cut through the hype and embrace new technologies with confidence.AI isn't here to replace you-it's here to empower you.Are you ready to reimagine your business future?
Power of After
Discover how to turn life experience into purpose, impact, and momentum for your next and most meaningful chapter. This book helps you answer the crucial question, "What's next?" as you create your ideal business using AI and other current technologies. Leverage the power of AI for personal growth, guiding you through the journey of midlife reinvention with renewed focus, adaptability, and resilience. Embrace career transformation by integrating AI-driven strategies to streamline your work, make data-informed decisions, and unlock new opportunities, all while shaping your ideal lifestyle with intention and vision.As you take ownership of your path, develop the essential mindset of self-leadership-the key to steering your life with purpose and conviction. You will learn how to maximize skills and apply your wealth of experience in innovative ways, breaking through self-limiting beliefs and overcoming the fear of failure that may have held you back. Whether transitioning to a new career, launching a business, or seeking more fulfillment, this book empowers you to live a purpose-driven life, fully equipped to thrive, adapt, and succeed in your next chapter.
Move First, Align Fast
A start-to-finish manual for aligning your organization's teams with the latest AI technologies In Move First, Align Fast: Frameworks and Scorecards for Human-AI Alignment, seasoned technology and transformation leader Deepika Chopra delivers a comprehensive toolkit and guide for the people side of AI implementation. This is a step-by-step walkthrough for the human beings who will lead and participate in your organization's AI transformation. It's also an expansive collection of frameworks, scorecards, measurement tools, and interpretation guides for company leaders who want to keep their change initiatives on track and on schedule. Chopra offers you practical resources, including the ACT Framework, ACT+M(TM) Scorecard, and the Human-AI Alignment Score (HAAS(TM)), that she developed and refined through her decades-long career advising organizations like Citi, AIG, Siemens, and LPL. You'll use them to ensure that you're able to translate your strategy, tools, and your teams' technical skills into a firm with powerful new capabilities. Inside the book: Detailed walkthroughs for leaders who want to build new, AI-enabled organizations defined by trust, alignment, and a culture of innovation Effective strategies suited to both high-growth startup environments and large enterprises seeking to implement foundational changes to the way they use AI Detailed discussions of the Align, Cultivate, and Transform (ACT) Framework and the tools you need to measure your progress as you implement it across your teams Virtually every organization in every industry can easily access powerful AI technologies with the potential to transform the way they do business. It's become increasingly clear that the bottleneck is almost always cultivating teams that effectively deploy and integrate those technologies in a way that executes on the strategic vision of their leaders. Move First, Align Fast is the roadmap that business and technology leaders have been waiting for to help them implement new technical capabilities into their companies in ways that ensure they'll actually be used to their fullest potential. It's an expert guide to aligning your human resources with the latest AI tools that will prove invaluable to managers, executives, entrepreneurs, and founders everywhere.
Ai for Lawyers
AI Practical Guide: The Future of Lawyers is a critical yet accessible reflection on how artificial intelligence is reshaping the legal profession-written by Mohamed Darwish, a UAE-based lawyer, certified mediator, and former hotel industry strategist whose rare blend of business development and legal acumen gives the book a distinctive voice.Before entering law, Darwish spent years in the hospitality industry, leading business development and digital transformation initiatives for renowned hotel brands across the Middle East and Europe. His background wasn't just in strategy; it was in results. He brought marketing and sales under one digital vision, designing systems that merged offline hotel operations with online visibility to create seamless, trackable revenue streams. For him, success was never just about guest satisfaction-it was about building recognized, scalable sources of income that were fast, efficient, and client-focused. This experience taught him that in high-pressure environments, clients don't just want good service-they want reliable, fast, and data-driven decisions.When Darwish transitioned into the legal field, he brought that same mindset with him. He didn't just see law as a set of traditions-he saw it as a client service business that urgently needed to evolve. Drawing on his business background and digital fluency, he began to apply AI-driven solutions to the legal space: from automated legal research and contract review to digital marketing strategies for lawyers. What emerged was a new vision of legal practice-one that combines the precision of law with the agility of technology.This book is not a technical manual. It's a human, strategic guide for lawyers, judges, students, and law firm leaders who recognize that artificial intelligence isn't just a trend-it's a turning point. Through thoughtful chapters on digital presence, legaltech tools, ethical AI use, and the future role of lawyers, Darwish invites the reader to rethink what legal service should look like in the 21st century.
Learning Informatica Cloud Services
The book serves as one point solution for learning everything about Informatica cloud (ICS). The book covers all the aspects starting from Administration in Informatica Cloud to Development aspects in Informatica cloud. The book also covers the monitoring aspects of Informatica cloud.The book covers the understanding of making sources and targets in Informatica cloud. You will learn about all the transformations available in Informatica Cloud. Each topic is covered with step by step practical implementation which will make it very easy to understand the concepts. The book will be useful for both type of aspirants, one those who are not aware of Informatica Power Center and the other who are aware of Informatica Power Center. At various sections the book also mentions about differences in concepts of Informatica Cloud and Informatica Power Center.
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.
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.
Cross-Cultural Design
This four-volume set LNCS 15782-15785 constitutes the refereed proceedings of the 17th International Conference on Cross-Cultural Design, CCD 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 was carefully reviewed and selected from 7972 submissions.The four volumes cover the following topics: Part I: Cross-cultural user experience and design; cross-cultural emotional and psychological factors in interaction; and cross-cultural usability and interaction design.Part II: Artificial intelligence in cultural heritage and creativity; cross-cultural generative AI; and AI applications and sustainable innovation.Part III: Cross-cultural arts and aesthetics; cross-cultural social innovation; automotive and transportation user experience; and cross-cultural design and cultural heritage.Part IV: Digital learning, STEM education and AI-driven pedagogy; smart systems, intelligent interaction and user perception; and cross-cultural health and wellbeing.
Metaverse and Blockchain Use Cases and Applications
This book analyzes blockchain in the metaverse ecosystem and its future, starting with clear definitions of AI, blockchain, and Metaverse. It discusses the evolution of the blockchain and addresses government involvement, virtual real estate, and emerging security concerns.
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.
Practical Software Project Management
Managing software projects in today's fast-paced technological landscape is crucial for success, demanding a clear understanding of processes, people, and products. Practical Software Project Management serves as your essential guide, transforming complex project lifecycles into a manageable and actionable roadmap.This book systematically covers the entire project journey, beginning with project initiation, objective definition, and crucial stakeholder identification. You will learn practical estimation techniques and planning strategies, alongside effective team management, including recruitment, conflict resolution, and motivation. The guide progresses through essential requirement analysis, robust architecture, and design phases, and explains how to execute successful project kickoffs. It details effective execution design, continuous tracking, managing dependencies, changes, and issue resolution. The book concludes with insights into ensuring quality assurance, implementing CI/CD practices, utilizing project metrics, conducting vital post-project reviews, and navigating performance appraisals.By the end of this book, you will have the skills to tackle a variety of real-world projects. You will also develop practical skills that extend beyond theoretical knowledge. This will enable you to confidently apply your newfound expertise to solve complex problems and create innovative solutions in a creative way. WHAT YOU WILL LEARN● Define project objectives, scopes, conduct feasibility, and identify key stakeholders.● Apply various estimation methods, and plan with tools like Jira, ensuring transparency.● Manage team recruitment, egos, conflicts, motivate, and set clear goals.● Analyze requirements, guard overanalysis, design scalable, optimized, 24x7 architectures.● Create comprehensive documentation and select optimal delivery modes (on-premise, SaaS).● Implement CI/CD, automate deployment, and analyze comprehensive project metrics.WHO THIS BOOK IS FORThis book is for software developers, project managers, program managers, and corporate trainers seeking to master practical software project management. It is ideal for aspiring managers and current individual contributors looking to transition into leadership roles, as well as experienced managers aiming to enhance their project oversight skills.
Introduction to Foundation Models
This book offers an extensive exploration of foundation models, guiding readers through the essential concepts and advanced topics that define this rapidly evolving research area. Designed for those seeking to deepen their understanding and contribute to the development of safer and more trustworthy AI technologies, the book is divided into three parts providing the fundamentals, advanced topics in foundation modes, and safety and trust in foundation models: Part I introduces the core principles of foundation models and generative AI, presents the technical background of neural networks, delves into the learning and generalization of transformers, and finishes with the intricacies of transformers and in-context learning. Part II introduces automated visual prompting techniques, prompting LLMs with privacy, memory-efficient fine-tuning methods, and shows how LLMs can be reprogrammed for time-series machine learning tasks. It explores how LLMs can be reused for speech tasks, how synthetic datasets can be used to benchmark foundation models, and elucidates machine unlearning for foundation models. Part III provides a comprehensive evaluation of the trustworthiness of LLMs, introduces jailbreak attacks and defenses for LLMs, presents safety risks when find-tuning LLMs, introduces watermarking techniques for LLMs, presents robust detection of AI-generated text, elucidates backdoor risks in diffusion models, and presents red-teaming methods for diffusion models. Mathematical notations are clearly defined and explained throughout, making this book an invaluable resource for both newcomers and seasoned researchers in the field.
Logic and Argumentation
This book constitutes the refereed proceedings of the 6th International Conference on Logic and Argumentation, CLAR 2025, held in Taiyuan, China, during June 14-16, 2025. The 22 full papers included in this book were carefully reviewed and selected from 38 submissions. These papers focus on the recent advancements in the field of logic and argumentation, as well as their applications in various areas of Artificial intelligence (AI), such as explainable AI, ethical dilemmas, reasoning about uncertainty and knowledge representation.
Proceedings of the Third Icmds’24: Machine Learning, Inverse Problems and Related Fields
Deep Learning in Action: Image and Video Processing for Practical Use
Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient. Deep Learning in Action: Image and Video Processing for Practical Use provides a comprehensive and accessible resource for both intermediate to advanced readers seeking to harness the power of deep learning in the domains of video and image processing. The book bridges the gap between theoretical concepts and practical implementation by emphasizing lightweight approaches, enabling readers to efficiently apply deep learning techniques to real-world scenarios. It focuses on resource-efficient methods, making it particularly relevant in contexts where computational constraints are a concern.
AI Conversations Made Simple
AI Conversations Made Simple is a practical field guide designed to empower professionals-not just data scientists-with the confidence and clarity to engage in intelligent, productive conversations about artificial intelligence.This isn't a dry glossary or another technical tome destined for a shelf. Instead, this book gives business leaders, managers, analysts, and curious professionals a fast, accessible reference they can use anywhere-from strategy meetings to casual conversations. With 70 of the most essential AI terms explained in both plain and technical language, readers will learn not only what the terms mean, but why they matter for business, personal productivity, and daily decision-making.Each term includes: Simple and technical explanationsBusiness relevance and real-world examplesPersonal use cases beyond the workplaceBenefits, challenges, and common misconceptionsKey takeawaysSmart questions to ask in meetings or to tools like ChatGPTAn interactive prompt for hands-on experimentationBeyond the terms, the book includes specialized chapters with curated questions for executives, managers, analysts, developers, and project teams-so that every stakeholder can participate more meaningfully in AI conversations, planning, and implementation.Whether you're driving innovation, managing risk, or simply trying to understand the role AI will play in your life, this book gives you what you need: not just definitions, but questions-the single most valuable skill in the age of AI.This is the ebook you'll want to keep on your phone and laptop. It's not about being the smartest person in the room. It's about being the one who asks the smartest questions.
AI Conversations Made Simple
AI Conversations Made Simple is a practical field guide designed to empower professionals-not just data scientists-with the confidence and clarity to engage in intelligent, productive conversations about artificial intelligence.This isn't a dry glossary or another technical tome destined for a shelf. Instead, this book gives business leaders, managers, analysts, and curious professionals a fast, accessible reference they can use anywhere-from strategy meetings to casual conversations. With 70 of the most essential AI terms explained in both plain and technical language, readers will learn not only what the terms mean, but why they matter for business, personal productivity, and daily decision-making.Each term includes: Simple and technical explanationsBusiness relevance and real-world examplesPersonal use cases beyond the workplaceBenefits, challenges, and common misconceptionsKey takeawaysSmart questions to ask in meetings or to tools like ChatGPTAn interactive prompt for hands-on experimentationBeyond the terms, the book includes specialized chapters with curated questions for executives, managers, analysts, developers, and project teams-so that every stakeholder can participate more meaningfully in AI conversations, planning, and implementation.Whether you're driving innovation, managing risk, or simply trying to understand the role AI will play in your life, this book gives you what you need: not just definitions, but questions-the single most valuable skill in the age of AI.This is the ebook you'll want to keep on your phone and laptop. It's not about being the smartest person in the room. It's about being the one who asks the smartest questions.
iPhone 16 Made Easy
Unlock the full potential of your iPhone 16, iPhone 16 Pro, or Pro Max-even if you're brand new to Apple devices. Whether you're a complete beginner, senior user, or switching from Android, iPhone 16 Made Easy is your essential manual for mastering iOS 18 with confidence.Designed with simplicity and clarity in mind, this guide walks you through every tap, swipe, and shortcut using large fonts, illustrated instructions, and everyday language. From setup to security, from photos to FaceTime, you'll uncover practical tips, hidden features, and real-life solutions that go beyond the standard user manual.Key Features You'll Learn: Step-by-step setup, Face ID, and iCloud basicsUsing Siri, widgets, and keyboard shortcuts like a proMastering the Camera app-including Night Mode and Cinematic VideoCustomizing settings for privacy, notifications, and battery lifeStaying secure with App Tracking Transparency and iOS 18 privacy toolsOrganizing photos, contacts, messages, and apps for easy accessMust-have productivity and entertainment apps for all usersTroubleshooting common iPhone issues without panicWhether you're 16 or 76, iPhone 16 Made Easy puts you in control of your device from Day One.
Radar
The integration of Radio Detection and Ranging (RADAR) remote sensing and Artificial Intelligence (AI) provides a platform for understanding various Earth's surface processes and their predictive analysis. This book offers state-of-the-art techniques and applications to address real-time challenges through AI-based RADAR remote sensing. Furthermore, it explores the potential applications of AI in emerging areas of remote sensing and image processing.
International Conference on Advanced Intelligent Systems for Sustainable Developent (Ai2sd 2024)
Hci International 2025 Posters
The eight-volume set, CCIS 2522-2529, constitutes the extended abstracts of the posters presented during the 27th International Conference on Human-Computer Interaction, HCII 2025, held 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 eight volumes are organized in the following topical sections: Part I: Virtual, Tangible and Intangible Interaction; HCI for Health. Part II: Perception, Cognition and Interaction; Communication, Information, Misinformation and Online Behavior; Designing and Understanding Learning and Teaching experiences. Part III: Design for All and Universal Access; Data, Knowledge, Collaboration, Research and Technological Innovation. Part IV: Human-Centered Security and Privacy; Older Adults and Technology; Interacting and driving. Part V: Interactive Technologies for wellbeing; Game Design; Child-Computer Interaction. Part VI: Designing and Understanding XR Cultural Experiences; Designing Sustainable (Smart) Human Environments. Part VII: Design, Creativity and AI; eCommerce, Fintech and Customer Behavior. Part VIII: Interacting with Digital Culture; Interacting with GenAI and LLMs.
Persuasive Technology
This book constitutes the refereed proceedings of the 20th International Conference on Persuasive Technology, PERSUASIVE 2025, held in Limassol, Cyprus, during May 5-7, 2025. The 17 full papers and 6 short papers included in this book were carefully reviewed and selected from 49 submissions. They are organized in topical sections as follows: Personalized Persuasion; Theory and Exploration; Design and Solutions; Emotions and Behaviour; Behavior Change Games; Personality and Individual Differences.
The UX Book
The UX Book: Agile Design for a Quality User Experience, Third Edition, takes a practical, applied, hands-on approach to UX design based on the application of established and emerging best practices, principles, and proven methods to ensure a quality user experience. The approach is about practice, drawing on the creative concepts of design exploration and visioning to make designs that appeal to the emotions of users, while moving toward processes that are lightweight, rapid, and agile--to make things as good as resources permit and to value time and other resources in the process. Designed as a textbook for aspiring students and a how-to handbook and field guide for UX professionals, the book is accompanied by in-class exercises and team projects. The approach is practical rather than formal or theoretical. The primary goal is to imbue an understanding of what a good user experience is and how to achieve it. To better serve this, processes, methods, and techniques are introduced early to establish process-related concepts as context for discussion in later chapters.
Hands-On Monitoring and Alerting with Prometheus
Build reliable, scalable monitoring and alerting systems with Prometheus, PromQL, and real-world demos Book DescriptionPrometheus has emerged as the leading open-source monitoring solution for building resilient, observable systems, and Hands-On Monitoring and Alerting with Prometheus shows you exactly how to utilize its full potential. The book begins with the fundamentals of modern monitoring and the core architecture of Prometheus. Through hands-on labs, you'll master Prometheus service discovery, labeling, and relabeling to organize metrics at scale. Whether you are collecting metrics from Linux machines, Windows servers, Docker containers, or databases, this book equips you with practical skills through real-world examples and tutorials. You will learn how to install and configure Prometheus, use its service discovery features, label and relabel metrics, and build powerful queries using PromQL - all leading to actionable insights through alerts and dashboards. You'll configure alerts and Alertmanager integrations, apply advanced techniques, and put everything together with real-world applications. Each chapter builds practical skills so you can confidently design and operate a robust observability stack. Whether you're a DevOps engineer, SRE, or system architect, this book is your gateway to production-grade monitoring. Don't just collect metrics-turn them into action with Prometheus today. Table of Contents1. Introduction and Key Concepts in Monitoring2. Prometheus Server Architecture and Features3. Different Types of Prometheus Metrics4. Metrics Exporters for Infrastructure Monitoring5. Prometheus Service Discovery Feature6. Metrics Labeling and Relabeling7. Prometheus Query Language PromQL8. Alerts and Alert Receivers9. Advanced Prometheus Techniques10. Prometheus and Real-world Applications11. Conclusion: Future Steps Index
AWS Certified Machine Learning Engineer Study Guide
Prepare for the AWS Machine Learning exam smarter and faster and get job-ready with this efficient and authoritative resource In AWS Certified Machine Learning Study Guide: Associate (MLA-C01) Exam, veteran AWS Practice Director at Trace3--a leading IT consultancy offering AI, data, cloud and cybersecurity solutions for clients across industries--Dario Cabianca delivers a practical and up-to-date roadmap to preparing for the MLA-C01 exam. You'll learn the skills you need to succeed on the exam as well as those you need to hit the ground running at your first AI-related tech job. You'll learn how to prepare data for machine learning models on Amazon Web Services, build, train, refine models, evaluate model performance, deploy and secure your machine learning applications against bad actors. Inside the book: Complimentary access to the Sybex online test bank, which includes an assessment test, chapter review questions, practice exam, flashcards, and a searchable key term glossary Strategies for selecting and justifying an appropriate machine learning approach for specific business problems and identifying the most efficient AWS solutions for those problems Practical techniques you can implement immediately in an artificial intelligence and machine learning (AI/ML) development or data science role Perfect for everyone preparing for the AWS Certified Machine Learning Engineer ndash; Associate exam, AWS Certified Machine Learning Study Guide is also an invaluable resource for those preparing for their first role in AI or data science, as well as junior-level practicing professionals seeking to review the fundamentals with a convenient desk reference.
Graph-Based Representations in Pattern Recognition
This book constitutes the refereed proceedings of the 14th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2025, held in Caen, France, in June 2025. The 25 full papers presented here were carefully reviewed and selected from 33 submissions. They are organized as per the following topical sections: Cybersecurity based on Graph models; Graph based bioinformatics; Graph similarities and graph patterns; GNN: shortcomings and solutions; Graph learning and computer vision.
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.
Hci International 2025 Posters
The eight-volume set, CCIS 2522-2529, constitutes the extended abstracts of the posters presented during the 27th International Conference on Human-Computer Interaction, HCII 2025, held 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 eight volumes are organized in the following topical sections: Part I: Virtual, Tangible and Intangible Interaction; HCI for Health. Part II: Perception, Cognition and Interaction; Communication, Information, Misinformation and Online Behavior; Designing and Understanding Learning and Teaching experiences. Part III: Design for All and Universal Access; Data, Knowledge, Collaboration, Research and Technological Innovation. Part IV: Human-Centered Security and Privacy; Older Adults and Technology; Interacting and driving. Part V: Interactive Technologies for wellbeing; Game Design; Child-Computer Interaction. Part VI: Designing and Understanding XR Cultural Experiences; Designing Sustainable (Smart) Human Environments. Part VII: Design, Creativity and AI; eCommerce, Fintech and Customer Behavior. Part VIII: Interacting with Digital Culture; Interacting with GenAI and LLMs.
Transactions of Adia Lab
Transactions of ADIA Lab is a peer-reviewed publication that captures the pioneering research emerging from ADIA Lab's interdisciplinary efforts in computational and data science. This inaugural volume reflects the Lab's rapid evolution into a global research hub, showcasing significant contributions in computational finance, the digital economy, advanced computational methods, and trustworthy AI. The collection highlights groundbreaking advancements, including geometric approaches to asset allocation, AI-driven financial modeling, quantum-safe encryption, and ethical frameworks for AI. By bridging theory and practice, the publication underscores ADIA Lab's commitment to developing innovative, real-world solutions that address some of today's most pressing challenges in finance, technology, and beyond.With a strong emphasis on collaboration, Transactions of ADIA Lab brings together leading researchers, industry experts, and policymakers to explore the transformative potential of computational science. This volume not only presents state-of-the-art methodologies but also demonstrates ADIA Lab's dedication to fostering global partnerships, as seen in its collaborations with institutions in Spain and beyond. By integrating advanced computational techniques with practical applications, the research featured here paves the way for more secure financial systems, resilient digital infrastructures, and ethical AI frameworks. As ADIA Lab continues to grow, this publication serves as a testament to its vision of harnessing technology to drive meaningful and lasting impact across industries and society.
