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.
Proceedings of the Third Icmds’24: Machine Learning, Inverse Problems and Related Fields
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.
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.
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.
International Conference on Advanced Intelligent Systems for Sustainable Developent (Ai2sd 2024)
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
Human Interface and the Management of Information
The three-volume set LNCS 15773 - 15775 constitutes the thoroughly refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2025, held as part of the 27th International Conference on Human-Computer Interaction, HCI International 2025 (HCII 2025), which was held 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 papers in these proceedings have been organized in topical sections as follows: Part I: Information design and visualization; human-human and human-AI collaboration; user experience design and evaluation; Part II: Information in eHealth; information, knowledge and learning; Part III: Multimodality and information; eCommerce and industrial applications.
Human Interface and the Management of Information
The three-volume set LNCS 15773 - 15775 constitutes the thoroughly refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2025, held as part of the 27th International Conference on Human-Computer Interaction, HCI International 2025 (HCII 2025), which was held 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 papers in these proceedings have been organized in topical sections as follows: Part I: Information design and visualization; human-human and human-AI collaboration; user experience design and evaluation; Part II: Information in eHealth; information, knowledge and learning; Part III: Multimodality and information; eCommerce and industrial applications.
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.
Human Interface and the Management of Information
The three-volume set LNCS 15773 - 15775 constitutes the thoroughly refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2025, held as part of the 27th International Conference on Human-Computer Interaction, HCI International 2025 (HCII 2025), which was held 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 papers in these proceedings have been organized in topical sections as follows: Part I: Information design and visualization; human-human and human-AI collaboration; user experience design and evaluation; Part II: Information in eHealth; information, knowledge and learning; Part III: Multimodality and information; eCommerce and industrial applications.
Blockchain and Artificial Intelligence Technologies for Smart Energy Systems
Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis.　 At the same time, we are witnessing the sharp growth of energy data and a revolution of advanced technologies.
Design, User Experience, and Usability
This six-volume set LNCS 15794-15799 constitutes the refereed proceedings of the 14th International Conference on Design, User Experience, and Usability, DUXU 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 six volumes cover the following topics: Part I: Information design and visualization; emotional interaction and persuasive design; and interactive systems and user behavior.Part II: UX design and evaluation methodologies; inclusive design and accessible experiences; and product and industrial design.Part III: Design and the digital transmission of culture; design for arts and creativity; and designing for health and therapeutic experiences.Part IV: Consumer experience and service design; design and evaluation of technology-enhanced learning; and UX in automotive and transportation.Part V: Design education and professional practice; and human-centered design and interactive experiences.Part VI: AI and the future of UX design; and UX in AI and emerging technologies.
Computer Vision - Eccv 2024 Workshops
The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29-October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
Advanced Computing
This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 13-14, 2024. The 17 full papers presented in this book were carefully reviewed and selected from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning; Applications of Large Language Models; AI in Healthcare and Medical Imaging; AI for Disaster Management and Renewable Energy and Challenges and Ethical Considerations in AI.
Hidden Networks
In an era of invisible coordination and AI-enhanced movements, Hidden Networks reveals the breakthrough analytical tools you need to understand the systems shaping our world.From financial markets and healthcare systems to terrorist cells and online communities, modern networks operate with staggering complexity, resisting traditional analysis and obscuring their true objectives. Hidden Networks equips analysts, data scientists, strategists, and intelligence professionals with a revolutionary methodology to detect, decode, and influence these systems.Drawing on advancements in machine learning, network science, behavioral fingerprinting, and game theory, Dr. Horen Kuecuekyan introduces a practical, cross-disciplinary framework to model multi-agent systems. You'll learn to identify subgroups, visualize their interactions, map information flows, and simulate how agents adapt in dynamic environments.This book is more than theory-it delivers actionable insights. Readers will gain tools to analyze decentralized coordination, spot covert patterns of influence, and leverage temporal network analytics to track evolving threats and opportunities. If you're working with complex systems-from public policy to private sector intelligence-this guide transforms overwhelming data into meaningful foresight.Inside, you'll explore: Hierarchical modeling of complex systems and subgroup analysisTemporal graph neural networks and AI-enhanced detection of coordinated behaviorAgent-based modeling, game-theoretic simulation, and emergent behavior analysisFederated learning and synthetic data augmentation for secure and scalable analyticsBehavioral fingerprinting using unsupervised machine learningEthical frameworks for responsible use of powerful analytical methodsWith detailed case studies on financial regulation, healthcare coordination, criminal networks, and transformation programs, Hidden Networks bridges the gap between high-level systems theory and operational practice.Whether you're analyzing influence operations, optimizing distributed systems, or predicting group behavior in volatile environments, this book delivers a robust, future-ready toolkit. You'll walk away with a comprehensive understanding of how to model and interpret the collective behavior of independent actors-and why that matters more than ever in the 21st century.
Smart VR/AR/MR Systems for Professionals
Smart VR/AR/MR Systems for Professionals is a comprehensive guide that explores the ground-breaking applications of virtual reality (VR), augmented reality (AR), and mixed reality (MR) in various industries. This book aims to equip practicing professionals with the knowledge and insights they need to harness the full potential of these immersive technologies in their respective fields.Through this book, the authors aim to explore the experimental breakthroughs and cutting-edge methodologies that have emerged in the realm of VR/AR/MR. The book delves deeper into the profound impact these technologies have had on the design process, computer-aided design, healthcare product development, manufacturing, human-robot collaboration, medical imaging, rehabilitation, and even phobia therapy.In each chapter of this book, we delve into specific topics, uncovering the principles, methodologies, and best practices that professionals can adopt. Examples of these topics range from empowering design processes with virtual reality to revolutionizing computer-aided design, and from exploring AR/VR/MR technologies in healthcare to transforming manufacturing with digital twins and metrology in VR.The book aims to provide practitioners with valuable insights, real-world examples, and practical guidance to navigate the ever-evolving landscape of VR/AR/MR systems.
Combatting Cyberbullying in Digital Media with Artificial Intelligence
Addressing the issue of Cyberbullying to find effective solutions is a challenge for the web mining community, particularly within the realm of social media. In this context AI is as a valuable tool in combating the diverse manifestations of Cyberbullying on the internet and social networks.
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.
Generative AI Unleashed
Today's generative AI has been marked by the advent of neural networks, inspired by the human brain, which are trained to recognize patterns in a dataset. Once the network is trained, it can make decisions or predictions without being programmed to perform tasks. Generative AI learns from a set of data without explicit instructions and can create and generate new digital content such as text, audio and art. Recent models are beginning to overcome challenges such as computational power, data quality and training stability. This edited book on generative AI presents novel perspectives, approaches and methodologies, as well as security, ethical and legal considerations, and future trends. Topics and technologies covered include generative transformers and text generation models, generative models for human-like speech synthesis, generative AI for image synthesis, data synthesis for privacy protection, and exploration of the impact of generative AI in fields including industry 4.0, astronomy, and brain tumour detection. Two chapters offer perspectives on ethics and legality. Generative AI Unleashed: Advancements, transformative applications and future frontiers will serve as a valuable resource for researchers, engineers, advanced students and lecturers operating in the domains that are significantly impacted by generative AI.
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.
Advanced Machine Learning for Cyber-Attack Detection in Iot Networks
Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their applications in detecting and preventing cyberattacks in future IoT systems. Chapters investigate the key challenges and vulnerabilities found in IoT security, how to handle challenges in data collection and pre-processing specific to IoT environments, as well as what metrics to consider for evaluating the performance of machine learning models. Other sections look at the training, validation, and evaluation of supervised learning models and present case studies and examples that demonstrate the application of supervised learning in IoT security.
Artificial Intelligence Annual Volume 2024
The academic interest in artificial intelligence (AI) has grown exponentially in recent years. The rapid development of AI technologies and the interdisciplinary nature of research in AI and its applications have contributed considerably to the global popularity of this research field. This volume deals with three key areas of the advancements in AI: machine learning and data mining, computer vision, and multi-agent systems. The increasing availability of vast data sets and powerful computing resources has enabled the development of more complex algorithms and models to address real-world challenges. In addition, deep learning has revolutionized the field of artificial intelligence, with computer vision being at the forefront of innovations. Multi-agent systems (MAS) have also proven to be the best fitting state-of-the-art within the AI framework for raising distributed AI technologies and applications such as smart cities and the Internet of (every)thing(s). Extended with machine learning, MAS have become very popular for researchers in every field, especially in autonomous vehicular technologies. This book should serve as a valuable resource not just to scientists dealing with AI research but also to anyone interested in its broad application areas across various disciplines.
What AI Can Do
The philosopher Spinoza once asserted that no one knows what a body can do. Similarly, we can ask ourselves about Artificial Intelligence (AI): to what extent is the development of intelligence limited by its technical and material substrate? In other words, what can AI do? The answer is analogous to Spinoza's: nobody knows the limit of AI.
Modern Artificial Intelligence Based on Soft Computing Techniques
Analysis of suitable generative algorithms for the generation of safety-critical driving data in the field of autonomous driving
Approximately 3700 people die in traffic accidents each day. The most frequent cause of accidents is human error. Autonomous driving can significantly reduce the number of traffic accidents. To prepare autonomous vehicles for road traffic, the software and system components must be thoroughly validated and tested. However, due to their criticality, there is only a limited amount of data for safety-critical driving scenarios. Such driving scenarios can be represented in the form of time series. These represent the corresponding kinematic vehicle movements by including vectors of time, position coordinates, velocities, and accelerations. There are several ways to provide such data. For example, this can be done in the form of a kinematic model. Alternatively, methods of artificial intelligence or machine learning can be used. These are already being widely used in the development of autonomous vehicles. For example, generative algorithms can be used to generate safety-critical driving data. A novel taxonomy for the generation of time series and suitable generative algorithms will be described in this paper. In addition, a generative algorithm will be recommended and used to demonstrate the generation of time series associated with a typical example of a driving-critical scenario.
Applied TinyML
DESCRIPTION AI is useful when it runs in large machines in data centers, but only when it makes it down to stand-alone edge devices will it unlock countless new use cases and applications. TinyML is transforming AI by bringing ML capabilities to small, low-power devices at the very edge of the network.This book will guide you through building these smart devices. It establishes TinyML's core foundations and a methodology for application development, from problem definition to power management and cost analysis. You will explore practical skills applications, learning sound, movement, and image classification, followed by advanced techniques like object tracking and sensor fusion, using methods such as Kalman filters. You will explore deep learning regression for predictive tasks and essential anomaly detection for identifying unusual patterns, all demonstrated through real-world use cases.After reading this book, you will be fully equipped to design, build, and deploy complete TinyML systems, from data collection and feature extraction to model training, deployment, and hardware integration. You will gain hands-on skills and the practical engineering knowledge needed to bring intelligent low-power devices to life.WHAT YOU WILL LEARN● Build smart gadgets that recognize sounds and movements.● Learn skills beyond coding to create TinyML systems.● Design, build, and deploy TinyML applications.● Design smart systems that can learn on their own.● Make devices that understand and classify images.● See how AI and ML fit into the real-world.WHO THIS BOOK IS FORThis book is for engineers, developers, and AI enthusiasts eager to build intelligent edge devices. No prior deep expertise in AI or electronics is required; it is perfect for anyone starting their journey in creating smart widgets with TinyML.
Artificial Intelligence and Games
Book content class- and industry-tested by leading academic lecturers, researchers and game developersHot topic in game development and academic game researchSuitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence
Hci in Games
This book constitutes the refereed proceedings of the 7th International Conference on HCI in Games, held as part of the 27th International Conference, HCI International 2025, which took place 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 thousands of submissions. The HCI-Games 2025 proceedings was organized in the following topical sections: Part 1: Gamification, UX, and Player BehaviorPart 2: Identity, Emotion, and AI in Game ExperiencesPart 3: Gamified Learning and DesignPart 4: Games in Healthcare and Wellbeing
Distributed, Ambient and Pervasive Interactions
This two-volume set LNCS 15802-15803 constitutes the refereed proceedings of the 13th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 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 two volumes cover the following topics: Part I: Designing and developing intelligent environments; and user experience in intelligent environments.Part II: Smart cities and public spaces; eXtended reality and robots in intelligent environments; and wellbeing in intelligent environments.
