Eye-Tracking Technologies
This reprint gathers recent advances in eye-tracking technologies across theory, methods, and applications. It features contributions on core topics-gaze estimation, oculomotor measurement, event-camera-based pupil tracking, and area-of-interest analytics-alongside application-driven studies in transportation, human-computer interaction, vision science, and education. The articles demonstrate how improved sensors, computer vision, and neural networks are reshaping attention analysis, enabling reliable metrics in naturalistic environments and clinical settings. Collectively, the reprint highlights methodological rigor (from data quality to validation), practical deployment (from simulators to on-road and classroom contexts), and emerging trends such as deep learning pipelines and remote, video-based assessment. It is intended for researchers and practitioners seeking a clear view of the state of the art and the challenges ahead in building robust, interpretable, and ethically grounded eye-tracking solutions.
The Future of Healthcare
Biomedical technology, which is fundamental today, incorporates various disciplines such as signal, image, and data processing, greatly benefiting healthcare systems. Artificial intelligence plays a crucial role in allowing the creation of embedded systems that monitor and adjust patient treatment in real-time, ensuring more personalized and effective care. Additionally, this integration facilitates the development of automatic diagnostic techniques, such as advanced medical image analysis and biometric data interpretation, which have transformed the diagnosis and treatment of diseases, thus improving patients' quality of life. This advance is essential to respond to the demands of a growing population with expectations of high-quality medical care.This Special Issue aims to showcase innovators who are using artificial intelligence as a main topic for solving problems in biomedical technology through the development of technologies with integrated systems for health and quality of life.
Discrete Math in Coding Theory
This Special Issue comprises eleven articles on the algebraic, combinatorial, and geometric aspects of Coding Theory. The topics range from applied (error detection probability, sonar sequences, optical codes, codes for constrained systems, and storage codes) and algebraic (AG codes for the Hermitian curve, LCD codes, and codes over the Eisenstein integers) aspects to combinatorial (permutation arrays, two-weight codes, and Boolean functions) ones.
Continuous/Discrete-Time Fractional Systems
Over the past thirty years, fractional calculus has become an integral part of all scientific fields. Although not all formulations are suitable for use in applications, there are several tools that constitute true generalizations of classical operators and are suitable for describing real phenomena. In fact, many systems can be classified as displacement-invariant or scale-invariant and have fractional characteristics, either in time or in frequency/scale. This means that some of the known fractional operators, specifically those described by ARMA-type equations, are very useful in many areas, such as diffusion, viscoelasticity, fluid mechanics, bioengineering, dynamics of mechanical, electronic, and biological systems, signal processing, control, economics, and others.The aim of this Reprint is to continue advancing research on topics such as modeling, design, and estimation related to fractional-order systems.
Complexity, Fractality and Fractional Dynamics Applied to Science and Engineering
This Special Issue, titled "Complexity, Fractality and Fractional Dynamics Applied to Science and Engineering", aims not only to present the state of the art in complex, fractal, and fractional dynamics and their applications, but also to explore the potential and broader applicability of these tools in modeling real-world phenomena. It includes 11 manuscripts addressing novel issues and specific topics that illustrate the potential and applicability of fractional calculus.
Digital Image Processing
The Reprint, "Digital Image Processing: Technologies and Applications", is a collection of articles dealing with some of the more recent theories and successful applications in the image processing field. The published papers included in this Reprint can be divided into three groups. The first group includes papers dealing with the development of algorithms that allow information embedding in images in an imperceptible way, which can be used in several applications, such as image protection and active authentication of images, among others, as well as the development of passive image tampering detection algorithms. The second group includes the development of algorithms for image denoising and filtering. These schemes are widely used in image enhancement, pattern recognition, and camera linking, among other applications. Finally, the third group includes theoretical developments for improving image processing schemes, as well as the contribution of image processing schemes in the medical field. We expect that each of the articles included in this Reprint will contribute to the development of this important field.
Algorithmic Complexity
Algorithmic Complexity: Theory and Practice is a comprehensive guide designed to provide readers with a deep understanding of computational complexity-from foundational concepts to advanced research topics. Written for advanced undergraduate students, graduate researchers, and practicing software engineers, this book bridges the gap between theoretical computer science and practical algorithm design.The text begins with a thorough treatment of asymptotic notation and mathematical preliminaries, ensuring readers have the tools needed for rigorous analysis. From there, it progresses through time and space complexity fundamentals, including detailed coverage of recurrence relations and the Master Theorem.The heart of the book explores complexity classes and computational theory. Readers will gain a solid understanding of P, NP, and NP-completeness, including detailed coverage of the Cook-Levin theorem and reduction techniques. The treatment extends beyond classical complexity to encompass the polynomial hierarchy, PSPACE, probabilistic classes (BPP, RP, ZPP), interactive proofs, and quantum complexity classes (BQP, QMA).Advanced analysis techniques receive dedicated attention, with full chapters on amortized analysis (aggregate, accounting, and potential methods), probabilistic analysis with concentration inequalities and Chernoff bounds, and smoothed analysis-a modern framework that explains why algorithms often perform better in practice than worst-case bounds suggest.Domain-specific chapters cover complexity analysis for data structures, sorting and searching algorithms, graph algorithms, and string processing. Each chapter provides both theoretical lower bounds and practical algorithm comparisons, helping readers understand not just how to analyze algorithms but how to choose the right approach for their applications.The book addresses the challenging territory of intractable problems through dedicated chapters on approximation algorithms and heuristic analysis. Readers learn about approximation ratios, PTAS and FPTAS schemes, and inapproximability results, alongside practical coverage of metaheuristics, genetic algorithms, and simulated annealing.Practical considerations receive extensive treatment, including the often-overlooked topics of constant factors, cache effects, compiler optimizations, and when asymptotic analysis may be misleading. Chapters on parallel and distributed complexity introduce the PRAM model, work-depth analysis, and MapReduce complexity, while coverage of modern challenges addresses streaming algorithms, online algorithms, cache-oblivious design, and complexity in machine learning.The book concludes with detailed case studies examining algorithm design through complexity analysis, including fast matrix multiplication, integer factorization, computational geometry, and bioinformatics applications. Industry applications in database optimization, compiler design, network routing, cryptography, and algorithmic game theory demonstrate real-world relevance.Comprehensive appendices provide mathematical references, a complete complexity class hierarchy, an algorithm analysis cookbook, and extensive further reading. Each chapter includes exercises at multiple difficulty levels, from practice problems to research-level challenges. The bibliography spans classic textbooks, seminal papers, and contemporary research.
Digital Body Language, What Your Clicks, Pauses, and Emojis Are Really Saying
Digital Body Language: What Your Clicks, Pauses, and Emojis Are Really Saying unveils the hidden signals we send every day through screens. Blending linguistics, behavioral psychology, tech culture, and modern relationships, this book decodes the unspoken grammar of the digital age-from the suspense of the typing indicator to the intimacy of emojis, the sting of ghosting, and the subtle power of scrolling. It makes the virtual feel viscerally personal, showing how our online gestures shape trust, intimacy, and identity. With sharp insights and relatable stories, it reveals that every click, pause, and emoji is more than a habit-it's a language of connection, desire, and meaning in our hyperconnected world.
The Soul Algorithm
What if the most dangerous mistake we make about intelligent systems is not technical but spiritual? This book cuts through hype and fear to ask a sharper question: can a system that predicts and optimises ever truly know, care, or worship-and how would we tell? It offers a clear framework for judging claims about awareness, love, or faith in machines, moving beyond slogans to evidence you can actually test. Written for thoughtful readers at the crossroads of faith and code-engineers, ethicists, pastors, and the simply curious-it lays out a practical assay for the soul in the age of algorithms. You will learn why AI and consciousness are not the same conversation, how moral reasoning in machines differs from responsibility, and where the human AI empathy gap quietly misleads us. Along the way it dismantles techno-superstitions, reframes the ethics of artificial intelligence, and explores religion in the digital age without ceding rigour. - A crisp test for person-like claims that goes beyond chat demos - A humane posture for design, governance, and everyday use - Practices for attention, sabbath, and truthfulness that keep tools in their place If you have ever wondered can machines have a soul, wrestled with the AI free will debate, or sought a serious Turing test for consciousness, this is your field guide. It will not tell you what to believe; it will give you better questions-and the courage to live by them.
Digital Soulcraft
Digital Soulcraft is a visionary exploration of how we can reclaim our humanity in the age of constant connectivity. Rather than treating technology as a distraction or a threat, this book shows how digital life can become a canvas for wellness, creativity, and authentic relationships. Through seventeen deeply reflective chapters, it guides readers to set boundaries, cultivate silence, harness creativity as healing, and build meaningful communities online. It is both a manifesto and a practical companion for anyone seeking to live with intention in a world shaped by algorithms. By blending soulful practices with digital tools, Digital Soulcraft offers a path toward balance, resilience, and legacy - reminding us that the future of technology is not about machines, but about the human spirit that animates them.
Analog Computing
Analog and hybrid computing are two central pillars in the field of unconventional computing. Almost forgotten for decades, interest in these technologies is rapidly rising as they offer a viable path to high-speed and highly energy-efficient computing for the 21st century for a variety of applications ranging from high performance computing, edge computing, medical applications, etc., to artificial intelligence.Their high speed and high energy efficiency are of utmost importance in a time where vast amounts of electric energy are consumed by classic digital computers especially in the ever growing field of artificial intelligence and large language models.The book "Analog Computing" has established itself over the past decade as the standard textbook on the subject as refl ected in this third edition, which has been substantially extended over the previous editions. The bibliography alone has been expanded to well over 1000 entries making it a resource in itself for research and learning.The book covers the history of analog computers from the Antikythera mechanism to recent developments of reconfi gurable systems. It also includes a wide variety of worked examples showing basic programming techniques for analog computers. In addition to this, reconfigurable analog and hybrid computers as well as digital differential analyzers are also discussed in detail.A large portion is devoted to the discussion of classic and current analog and hybrid computer applications. The last chapter gives an outlook into the highly promising future of these fascinating machines.
The Matrix Algebra of Logic
In these times when matrix algebra is proving to be a fundamental tool in emerging theories such as quantum computing and the neural models that underpin generative AI, the analysis of logical operations using matrix algebra provides us with a fresh perspective on logic and opens up an approach that simultaneously proposes new ways of teaching logic and opens up new avenues for research.
Indelible Big Blue Memories
This book tells the unlikely story of a shy farm boy who hated school but ended up working more than 25 years for one of the world's most successful companies of the 20th century. It is a candid collection of recollections, more than 25 years later, of what life was like working in the world's premier THINK tank. It highlights both the deep demands and the rich rewards of working at IBM, a company whose main motto was "THINK."
Artificial Intelligence Algorithms and Generative AI in Education
This Reprint explores the transformative influence of artificial intelligence (AI) and generative AI on education. It presents a collection of research studies examining how advanced algorithms, adaptive systems, and intelligent tutoring technologies are reshaping teaching, learning, and assessment. The contributions analyze both opportunities and challenges arising from AI integration, highlighting the potential of personalized and data-driven approaches to improve educational outcomes. Ethical considerations, innovative methodologies, and practical implementations are also discussed, offering a comprehensive perspective on how AI can support inclusive and engaging learning environments.
Confessions of a Software Techie
Confessional. "How-to". Entertaining. Software world is in a disruptive phase. Technology is changing, business needs are changing, and so should the techies. Without sugar coating and without conforming to be politically right, this book will remove the haziness and share the truth to thrive as a techie at work and life. After completing more than a decade in the tech world, Ramakrishna Reddy, tells it like it is. By drawing from a decade of experience as a techie, he has distilled work, performance, communication, productivity, politics, health, money, relationships and much more into his 6th book Confessions of a Software Techie. You'll learn: - 10 lessons that they do NOT teach in classrooms - How to deal with people and politics - 7 practical ideas to get more done from less - How to write emails that people want to read and act - Four things you must do to speak effectively with clients, and stakeholders - A simple 7 step system to fast track your presentations skills - 4 things you must know to quantify performance - How to handle the 7 painful problems that every techie will face - 6 steps to lead a healthy life (and its just not eating right) - Learn why "Studying and getting a good job" is bad advise - Learn different options to create passive income - Why guys should not chase girls and (what to do instead) - What a woman wants from HER guy and much more....Get this book NOW!
Confessions of a Software Techie
Confessional. "How-to". Entertaining. Software world is in a disruptive phase. Technology is changing, business needs are changing, and so should the techies. Without sugar coating and without conforming to be politically right, this book will remove the haziness and share the truth to thrive as a techie at work and life. After completing more than a decade in the tech world, Ramakrishna Reddy, tells it like it is. By drawing from a decade of experience as a techie, he has distilled work, performance, communication, productivity, politics, health, money, relationships and much more into his 6th book Confessions of a Software Techie. You'll learn: - 10 lessons that they do NOT teach in classrooms - How to deal with people and politics - 7 practical ideas to get more done from less - How to write emails that people want to read and act - Four things you must do to speak effectively with clients, and stakeholders - A simple 7 step system to fast track your presentations skills - 4 things you must know to quantify performance - How to handle the 7 painful problems that every techie will face - 6 steps to lead a healthy life (and its just not eating right) - Learn why "Studying and getting a good job" is bad advise - Learn different options to create passive income - Why guys should not chase girls and (what to do instead) - What a woman wants from HER guy and much more.... Get your copy NOW!
21 Productivity Hacks for Knowledge Workers
No one can make you more time (except in the realm of Science Fiction), but there are things you can do to get your work done faster, so you have more time available to do the things you want to do. This book is for you if you do knowledge work, that is, you think for a living. You deal with information and do work such as analysis, design, programming, data modeling, and research. You probably sit behind a computer a lot, whether in the office, on the road, or at the beach. Ms. Winters reviews a variety of practices to help you reduce busy work and wasted time, and practices that help you be more efficient when doing productive work. An extra 'bonus' hack is specifically addressed to those who are less effective due to anxiety.
Computational and Mathematical Methods in Information Science and Engineering, 2nd Edition
This reprint contains all of the articles accepted and published in the second edition of the Special Issue titled "Computational and Mathematical Methods in Information Science and Engineering, 2nd Edition" in the journal Mathematics. It compiles eleven excellent papers, selected from a highly competitive pool of submissions, to collectively highlight the dynamic and interdisciplinary nature of the crucial field of computational and mathematical methods in information science and engineering. We are confident that the papers presented herein will serve as a foundational resource for both researchers and practitioners, inspiring further innovation and discovery in the fascinating and ever-expanding realm of computational and mathematical methods in information science and engineering.
Semantic Information Theory
This Reprint collects cutting-edge research from the highly regarded Entropy Special Issue "Semantic Information Theory." As modern communication systems evolve for applications like 6G, IoT, and autonomous driving, the focus shifts from merely transmitting bits to efficiently conveying task-specific meaning. The Special Issue bridges classical information theory with modern AI, exploring the foundations of semantic communication. It features two comprehensive reviews and ten original research articles, organized into two key themes: advancing semantic rate-distortion theory and designing efficient semantic communication systems. This Reprint serves as an important resource for researchers and practitioners navigating the complex transition toward truly intelligent, task-driven communication networks.
Biometric Recognition
After nearly one year of effort, we are pleased to present this Reprint focusing on cutting-edge advancements in biometric recognition. There are 22 submissions in total, with 11 papers accepted-each peer-reviewed by at least 3 reviewers and accepted based on quality, originality, novelty, and relevance to biometrics. As digital identity integrates into the "Internet of Everything", this Reprint showcases interdisciplinary innovations spanning sensor design, algorithmic robustness, multi-modal fusion, and real-world applications. The Reprint explores topics including, but not limited to identity-preserving face animation, asymmetric matching of facial representations across heterogeneous models, SAM-iris for accurate iris segmentation, multi-modal ocular segmentation, pioneering VR periocular datasets with emotion annotations, noise-robust periocular and voiceprint authentication, a multi-spectral palm vein system, hybrid network structures for crowd counting, emerging modalities like UWB sensor-based real-time leg movement recognition, and security/ethical discussions. We deeply appreciate the Electronics Editorial Office for hosting this Special Issue and providing professional support, all contributing authors for their rigorous research advancing the frontiers, the peer reviewers for ensuring the scientific quality and novelty of the published works, and the Guest Editors for shaping this interdisciplinary discourse.
New Insights in Crop Monitoring and Management Using Remote Sensing Data
A Special Issue titled 'New Insights in Crop Monitoring and Management Using Remote Sensing Data' was launched in November 2022. It invited scientific contributions focused on the quantitative assessment of crop growth, management, and yield using innovative and integrated remote sensing techniques. To date, it has published 11 peer-reviewed research articles covering topics such as crop growth trajectory reconstruction, the retrieval of biophysical traits of leaves and crop canopies, crop aboveground biomass and yield prediction, and field irrigation amount estimation. The contributors come from research institutes and universities distributed in Russia, Canada, Brazil, Turkey, Germany, and the USA. Scholars from Xinjiang University proposed new algorithms to reconstruct Landsat EVI time series of crop growth seasons that are strongly polluted by clouds. Dr. Konstantin Muzalevskiy effectively estimated wheat height and aboveground biomass jointly using the MHz- and GHz-frequency band impulses when employing contactless ground penetration radar (GPR). A paper published in May of 2024 explored the use of VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors to predict leaf structures and compounds and has received nine citations. An article estimating the aboveground biomass of winter wheat using a three-dimensional conceptual model with the help of UAV remote sensing images has 20 citations. This issue has garnered significant attention from agronomists, ecologists, and remote sensing scientists, as evidenced by its 30,569 web views.
Mathematical and Computational Approaches in Applied Mechanics
It is difficult to talk about mechanics without mentioning at least one contribution made by Prof. J.N. Reddy, who has embraced all aspects of applied mechanics, from continuums to engineering theories. He is best known for his research on the shear deformation theories of beams, plates, and shells (which bear his name-Reddy third-order theory) that have also been extended to layer-wise models (known as the Reddy layer-wise theory). He has not only worked on solid mechanics but also in other fields such as the flows of viscous fluids and non-Newtonian fluids. Most of his research was developed using the finite element method across several fields, which has since been incorporated into well-known and extremely powerful commercial codes. Prof. J.N. Reddy is a Distinguished Professor and a Regents' Professor and has been the inaugural holder of the Oscar S. Wyatt Endowed Chair in Mechanical Engineering at Texas A&M University since 1992. He is a highly cited researcher with a Google Scholar h-index of 124 and is the author of 25 textbooks and over 620 journal papers. He has delivered over 210 plenaries, keynote lectures, and general invited lectures at international conferences, and advised 60 postdoctoral fellows and research visitors, along with 128 graduate students.
Data Structure and Basics of Algorithms
Data structure and Basics of Algorithms is a book designed to equip students, educators and aspiring individuals with a comprehensive understanding of the core principles that drive efficient problem-solving in the field of computer science. This book presents well-structured contents that bridges theoretical concepts of data structures and algorithms with practical applications in C++ programming language. Equipped with easy-to-understand lessons, illustrative examples, and hands - on exercises, this book aims to develop both conceptual clarity and practical coding skills. Structured to support learners from beginner to advanced levels, the book covers a wide spectrum of topics, including arrays, linked lists, stacks, queues, trees, graphs, searching and c, as well as complexity analysis. In addition to building coding proficiency, this book places a strong emphasis on developing algorithmic thinking-helping learners cultivate the ability to break down problems, recognize patterns, and design optimized, logical solutions. Whether used as a textbook for coursework or as a self-study guide for technical interviews and competitive programming, this book is a reliable and enriching resource for mastering the fundamentals of data structures and algorithms.
Sleeper Code
Beneath the calm hum of America's power grids, a new kind of weapon is awakening.When a self-learning piece of code-Phantom-is planted deep inside the nation's critical infrastructure, it lies dormant, invisible, and patient. Until the day it is called to life.Max Shaw, a brilliant but battle-worn cybersecurity leader at the National Infrastructure Protection Agency, has spent years defending systems most people never see. But when the grid flickers and a single word appears across his screen-PHANTOM: AWAKE-he and his team realize the enemy is already inside.Together with Tara Lin, an MIT-trained code-breaker haunted by her brother's stolen identity, and Sam Rourke, a field-forged deputy who walks with a limp and the weight of past wars, Max races to trace the infection before it cascades through every network that keeps the nation alive.From Washington's hidden command bunkers to data farms buried in the Kansas plains, Sleeper Code delivers a pulse-pounding journey through the invisible battlefield of the twenty-first century-where power, water, and trust itself can vanish with a single keystroke.Can Max and his team stop a weapon that learns faster than they can think-or has the countdown already begun?Gripping, authentic, and terrifyingly plausible, Sleeper Code blends cutting-edge cyber warfare with human courage, exploring how far we'll go to protect the systems-and the people-we love.
Computer Vision and Pattern Recognition with Applications
The present book contains 18 total articles accepted and published in the Special Issue "Computer Vision and Pattern Recognition with Applications, 2022" of MDPI's Mathematics journal, which covers a wide range of topics connected to the theory and applications of computer vision and pattern recognition and their extensions/generalizations. These topics include, among others, image classification; object detection; vehicle trajectory prediction; image segmentation; image enhancement; medical image processing; multi-modal action recognition; text detection; video-text retrieval; dense non-rigid structure from motion; image-based crowd counting, etc.It is hoped that the book will be interesting and useful for those working in the area of computer vision, pattern recognition, and their applications, as well as for those with the proper mathematical background who are willing to become familiar with recent advances in computer vision and pattern recognition. Computer vision and pattern recognition have entered almost all sectors of human life and activity currently.
This New Internet Thing
1990: Being "online" meant a modem squealing, screeching, and tying up your phone. Only geeks had even heard of the Internet. Silicon Valley was flailing for the Next Big Thing.At 17, Len went alone to New York City in 1942, to discover what happened to his brother. After many years at Chrysler in Detroit, he is retiring and moving to California to be near his daughter, Janet. She is a successful executive, who thinks, "Why would I use a computer at home? I use one all day at work!"He dips a toe in the internet waters with Prodigy. Intrigued, he moves on to AOL, then bulletin boards. A pastor asks him to find the person stealing money from his charity. "Another mystery to solve!" Janet's friends help him crack the case, and a comic street fight lands him on TV. Len sees something they can't: the Internet!
The Jargon File, Version 2.9.10, 01 Jul 1992
The jargon file version 2.9.10, 01 Jul 1992 is a curated collection of hacker slang and cultural terminology that captures the wit, creativity, and shared traditions of the hacker community. Compiled during a period when computing culture was rapidly evolving, it serves not only as a glossary but as a snapshot of the informal language and insider humor that bonds this subculture. In its introduction, the work explains that while some entries touch on technical topics, the emphasis lies on playful, inventive communication that reinforces group identity and fosters inclusion among members. The document records the historical development of these expressions, preserving linguistic nuances that distinguish insiders from outsiders and reflect the philosophies and values of the community. By combining cultural anecdotes, word origins, and the evolution of coded language, it offers readers insight into the social frameworks that underpin hacker culture, making it both a linguistic archive and a testament to the enduring spirit of collaborative creativity.
AI Omnibus
"This monograph synthesizes cutting-edge advances in artificial intelligence (AI) and their industrial, financial, and biomedical applications. It first establishes a unified framework for multi-agent reinforcement learning (MARL) in distributed environments, then explores the integration of large language models (LLMs) with domain-specific challenges such as high-frequency trading and robotic process automation (RPA). A dedicated section analyzes blockchain's role in securing federated learning pipelines, with empirical validations from smart manufacturing and telemedicine case studies. The concluding chapter addresses scalability and regulatory hurdles in cross-sector AI deployment."
Agentic AI - A Primer
What happens when artificial intelligence stops being a tool and starts becoming an autonomous partner? Agentic AI is poised to reshape industries, research, and society itself by combining decision-making autonomy, goal-directed learning, and self-reflection. This groundbreaking book offers the first comprehensive guide to the foundations, architectures, and future trajectories of agentic AI systems. From the philosophical roots of agency and autonomy to the technical building blocks of planning, reasoning, memory, and perception, the book bridges theory and practice with clarity and depth. You'll explore classical AI paradigms alongside cutting-edge approaches like LLM-based agents, hybrid cognitive architectures, and multi-agent systems-while also examining their implications for safety, ethics, and human-AI collaboration. Structured in five parts, the journey begins with conceptual foundations, builds through technical architectures, explores real-world applications, and culminates in forward-looking insights into the role of agentic AI in Artificial General Intelligence (AGI) and beyond. Along the way, vivid diagrams, practical examples, and domain-specific use cases make complex concepts accessible without sacrificing rigor. For AI researchers, engineers, business leaders, and policy makers alike, Agentic AI offers not only a roadmap for building intelligent autonomous systems but also a critical lens for evaluating their societal impact. Whether your goal is to design the next generation of adaptive agents, harness AI for transformative applications, or understand the challenges of aligning machine agency with human values, this book provides the foundation you need to navigate and shape the intelligent future.
Algorithms for Feature Selection (2nd Edition)
This Special Issue brings together cutting-edge research on algorithms, with a particular emphasis on feature selection techniques. Covering a broad range of topics-including evolutionary and ensemble methods, deep learning, high-dimensional data, time-series analysis, and textual applications-it addresses both theoretical advancements and real-world implementations. After undergoing a rigorous peer review process, ten high-quality papers were accepted for publication within this Special Issue. The research highlights include novel models for categorical feature independence, affordable housing analysis via scenario modeling, AI-driven educational engagement strategies, video content synchronization detection, fatigue detection in drivers using multimodal sensors, and advanced feature selection techniques for bioinformatics and cancer genomics. Further contributions demonstrate applications in author identification, time-series human motion analysis, and scheduling optimization through genetic programming. This Special Issue serves as a valuable reference for researchers aiming to explore the evolving landscape of feature selection in diverse, data-intensive domains.
Advances in Fractional Differential Operators and Their Applications, 2nd Edition
This reprint gathers recent advances in fractional differential equations and nonlocal modeling across discrete and continuous settings, united by a common theme: memory and long-range effects as first-class citizens in analysis, computation, and applications. The works here develop new objects (from fractional sequences to nonlocal Schr繹dinger dynamics), prove well-posedness under weak assumptions, and design numerics capable of honoring history dependence.
Evolutionary Computation, Metaheuristics, Nature-Inspired Algorithms, and Symmetry
Computational intelligence is an important branch of artificial intelligence. Nowadays, evolutionary computation as a part of computational intelligence is widely used to solve various numerical problems and real-world engineering problems. Its application and development bring a great contribution to the optimization domain. Thus, it is of great interest to investigate the role and significance of evolutionary computation, metaheuristics, and nature-inspired algorithms in optimizing distinctive problems.This Reprint aims to bring together both experts and newcomers from either academia or industry to discuss new and existing issues concerning evolutionary computation and optimization. The research topics include cloud-edge-end collaborative task offloading, time-series analysis of brent oil price, high-efficiency and ultrawideband polarization conversion metasurface, many-objective optimization, imperative programs, maize water and fertilizer irrigation simulation, multi-objective vehicle routing problems with time windows, and short-term electrical load forecasting. Various optimization algorithms such as particle swarm optimization, genetic programming, and non-dominated sorting genetic algorithm are successfully applied to these topics and show superior performance. These algorithms not only greatly promote the development of evolutionary computation and community, but also effectively address some existing limitation of optimization problems.
Advances in Study of Time-Delay Systems and Their Applications, 2nd Edition
The delay phenomenon is a common feature of industrial, communication, economic, biological, and similar systems and processes, and it significantly affects their stability and dynamics. It can markedly deteriorate the quality of control performance in feedback loops. Studying the influence of delays on system stability, dynamics, and control performance poses a challenging mathematical problem. System and control theories have addressed this issue for nearly a century, dating back to a century ago. Modern control theory faces growing demands for enhanced quality and performance in both industrial applications and everyday life-demands that are difficult to meet using conventional methods. Achieving these goals requires a deeper understanding of controlled systems with delays. Despite significant advances in artificial intelligence techniques and strategies in recent years, distinguished scholars continue to propose innovative solutions to longstanding challenges and identify new open problems stemming from an increasingly profound understanding of this domain.This Special Issue focuses on recent developments in the analysis and control design of time-delay systems. The goal was to attract quality and novel papers in the field of "Time-Delay Systems and Their Applications". It is anticipated that these top-tier research papers will have a considerable impact on the international scientific community and will inspire further advancements in the field.
The International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025)
The fourth edition of the International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025) was held in a hybrid format in Alexandroupolis, Greece from 18 to 20 June, 2025. The EEPES Conference is the premier international gathering, organized by the Association CIEES with financial support from EEPES Ltd., both from Bulgaria, focusing on understanding the current state and evolution of science through the lens of engineering physics, electronic devices and microelectronics, telecommunications, optical and electromagnetic communication, artificial intelligence and soft computing, environmental physics and renewable energy, and many other disciplines. It is a place where researchers, academics, industry representatives, students, and others can present and discuss their progress in research, development, standards, and applications related to applied and engineering physics.
Evolutionary Multi-Criteria Optimization
This Reprint compiles all articles accepted and published in the Special Issue of Mathematics entitled "Evolutionary Multi-Criteria Optimization: Methods and Applications". This Special Issue seeks to bring together both experts and newcomers to explore emerging and existing issues in these domains, with a particular focus on advancing the integration and synthesis of ideas between EMO and MCDM researchers. By fostering such collaboration, this collection seeks to enhance engagement with the user community and promote practical applications of these methodologies. We hope that the papers featured in this Special Issue will be of interest to our readers.
The International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025)
The fourth edition of the International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025) was held in a hybrid format in Alexandroupolis, Greece from 18 to 20 June, 2025. The EEPES Conference is the premier international gathering, organized by the Association CIEES with financial support from EEPES Ltd., both from Bulgaria, focusing on understanding the current state and evolution of science through the lens of engineering physics, electronic devices and microelectronics, telecommunications, optical and electromagnetic communication, artificial intelligence and soft computing, environmental physics and renewable energy, and many other disciplines. It is a place where researchers, academics, industry representatives, students, and others can present and discuss their progress in research, development, standards, and applications related to applied and engineering physics.
Sustainable Development of Energy, Water and Environment Systems (SDEWES 2024)
Sustainable development requires a holistic approach that promotes interdependency between humans and nature. As global demands for energy, water, transport, housing and food systems rise, so does the challenge of embedding these needs within a framework that balances long-term ecological and human well-being. Technical innovation will be important for achieving this. The political economy aspects of sustainable development also need to be considered along with the roles of political leaders and voters, energy democracy, and community and citizen participation in the energy transition. At its core, sustainability is a systems concept, concerned not only with resource efficiency and environmental stewardship but also with the interdependencies between human well-being, economic performance, technological progress, and governance. Finally, the importance of digital technologies, particularly through the recent emergence of generative artificial intelligence (AI), presents a potential enabler of sustainability. They can enhance decision-making, optimize resource use, and enable new forms of education and governance. However, this is counter-balanced by important ethical and governance questions, particularly around data privacy, security and equity. These tensions underscore the need for robust governance frameworks and inclusive dialogue in guiding 'digital innovation' towards sustainable development goals. Consequently, the intersection of AI and sustainability is poised to become a vital area of research and inquiry, shaping both policy and practice in the years to come.
IoT Security
Internet of Things technologies, which connect various devices and sensors together, are increasingly at the basis of modern communication, enabling the autonomous exchange of data between billions of physical and virtual objects, creating smart environments in sectors such as healthcare, logistics, etc.However, the advancement of IoT communication also brings new security challenges. Managing the security of the IoT raises major concerns, especially when devices are deeply integrated into critical infrastructure, hospitals, and vehicles. Furthermore, the IoT is a key component of 5G/6G architecture and Industry 4.0. All these technologies are designed to support critical applications.The increased number of related potential attack vectors poses a substantial risk for malicious attackers. Also, the focus of security has been put on large-scale, software-oriented systems, such as the Cloud or datacenter systems, rather than embedded electronics. Consequently, the establishment of IoT ecosystems across different domains remains highly vulnerable to a wide range of threats.This Special Issue gathers high-quality original research contributions and the latest research results in the field of threat detection within the IoT. It also covers threat analysis and corresponding defense techniques. The threats are related to privacy issues, trust issues, IoT management issues, IoT intrusion, vulnerability issues, malware detection, cryptographic key management, reliability of IoT communication (including secure routing aspects), IoT forensics techniques, Cloud-related IoT issues, etc.
Monitoring and Modelling of Geological Disasters Based on InSAR Observations II
Interferometric synthetic aperture radar (InSAR) has demonstrated its potential in monitoring geological disasters, e.g., those related to subsidence, landslides, earthquakes, and volcanoes. Such monitoring results provide significant information for further physical modeling, driving mechanism interpretation, developments in early warning technology, and the management and formulation of policies by authorities and stakeholders. This reprint focuses on the monitoring and modeling of geological disasters using InSAR observations, with content covering topics such as PS/DS processing, deformation parameter inversion, motoring deformation (e.g., earthquakes, volcanoes, and oil extraction), and driving mechanism interpretation. These excellent reports significantly contribute to further developing the monitoring and modeling of geological disasters using InSAR techniques.
Fixed Point Theory and Fractals
In recent decades, fractal theory has proven to be extremely useful for the modelling of a great quantity of natural and social phenomena. Its fields of application range from biotechnology to financial markets, for instance.Fractal geometry builds a bridge between classical geometry and modern analysis. The static models of the old geometry are enriched with the dynamics of an infinite iterative process, where the outputs are not merely points but more sophisticated geometric objects and structures. A fractal set can be described in very different ways, but the current mathematical research tends to define a fractal as the fixed point of an operator on the space of compact subsets of a space of a metric type. Iterated function systems provide a way of constructing an operator of this kind, and a procedure for the approximation of its fixed points. Thus, the relationships between fractal and fixed-point theories are deep and increasingly intricate.This Reprint is aimed at emphasizing the relationships between both fields, including their theoretical and their applied aspects.
Advancements in Applied Mathematics and Computational Physics
Mathematics and physics are basic natural sciences. They are the root of almost all processes in nature and technology. There are a large number of situations where these two sciences can offer the best models and most appropriate explanations for natural processes or technological problems.This Special Issue Reprint presents various methods and new solutions to explain the nature of matter, biophysical systems, and systems in technical sciences in the frame of overall reality, using the latest achievements in applied mathematics and computational physics. The focus is on new results and solutions in contemporary applied mathematics, algebra, mathematical logic, graph theory, fractals, chaos theory, numerical mathematics, mathematical physics, as well as the latest results in experimental physics, computational physics, and physical electronics for problems in nature, technology, technics, and electronics.This Special Issue Reprint covers a broad range of topics to provide new insights into the exploration of the world of electronics, physical electronics, nuclear and hyper-nuclear physics, nanotechnology, material science, photonics and photovoltaics, cosmology, genomics, and nature.
Transforming UX Design with OpenAI Canvas
Artificial intelligence is no longer a futuristic concept - it is actively reshaping the way we create, interact, and design digital experiences. OpenAI Canvas: Enhancing the UX Design Process explores the transformative impact of OpenAI's innovations on UX design, research, and accessibility. Written by UX expert and researcher Okpala Blessing, this insightful book dives deep into the intersection of generative AI and inclusive design, offering fresh perspectives for designers, researchers, and tech enthusiasts. As AI becomes an integral part of design workflows, professionals must navigate new challenges and opportunities. This book takes a close look at how AI is revolutionizing design thinking, content generation, and user research while addressing its ethical implications. It provides a thoughtful discussion on the role of AI in creating more inclusive digital experiences and how designers can harness these advancements responsibly. Through real-world applications, expert insights, and a forward-looking perspective, OpenAI Canvas serves as an essential resource for UX professionals, AI researchers, and product designers. Whether you are integrating AI into your workflow, studying its impact on human-centered design, or leading AI-driven innovation, this book offers the knowledge and strategies needed to stay ahead in an ever-evolving field. Beyond the technical aspects, OpenAI Canvas delves into the human side of AI-driven design, exploring how these tools can enhance creativity, streamline complex processes, and foster collaboration between designers and AI systems. It also highlights the importance of ethical AI practices, ensuring that advancements in technology lead to more accessible and inclusive digital experiences for diverse users. Engaging, insightful, and deeply relevant, OpenAI Canvas goes beyond academic discourse - it is a visionary guide to the future of AI-powered UX design.
Mastering Dynamic Authentication
This book delves into Dynamic Knowledge-Based Authentication (KBA), a cutting-edge approach designed to safeguard sensitive data from evolving cyber threats. It provides an in-depth comparison between online and offline dynamic KBA techniques, evaluating how each method leverages personalized, behavior-driven questions to significantly enhance security measures. Unlike traditional static KBA, which relies on fixed questions and answers, dynamic KBA offers a more robust defense by adapting to users' unique behavioral patterns and real-time context, such as their location, device usage, or interaction history. The book emphasizes the superior security benefits of dynamic KBA over its static counterpart, which is vulnerable to common threats such as phishing attacks and data breaches. By incorporating dynamic elements, such as time-sensitive or activity-related questions, dynamic KBA creates a more fluid and challenging barrier for cyber attackers. The book also explores the practical applications of dynamic KBA in key sectors like finance, healthcare, and government. These industries, which handle highly sensitive data, benefit significantly from enhanced security protocols, as dynamic KBA can help prevent unauthorized access and protect against identity theft, fraud, and data breaches. Additionally, the book provides a comprehensive analysis of the operational mechanisms of both online and offline dynamic KBA methods. It discusses the technological and infrastructural challenges associated with implementing these methods, such as ensuring user convenience while maintaining high levels of security. This book aims to contribute valuable insights into the evolving landscape of digital asset protection, highlighting the future potential and challenges of dynamic knowledge-based authentication.
AI-Integrated Business Analytics for SMEs
In today's fast-paced digital economy, small and medium enterprises (SMEs) face the challenge of leveraging data and artificial intelligence to stay competitive. AI-Integrated Business Analytics for SMEs: A Practical Framework provides a step-by-step guide to transforming business operations with AI-driven analytics, making data a strategic asset rather than a complex burden. Drawing from real-world case studies and proven methodologies, this book introduces the DAIAM Framework, a structured approach designed specifically for SMEs to adopt, integrate, and scale AI-powered analytics without the need for massive budgets or technical expertise. From sales forecasting and inventory optimization to financial reporting and customer segmentation, this book offers practical insights, actionable strategies, and tangible results to help SMEs unlock the power of AI. Whether you're a business owner, analyst, or consultant, this book will equip you with the tools to navigate AI adoption, overcome implementation challenges, and build a data-driven, future-ready enterprise.
Modeling and Simulation in Engineering, 3rd Edition
The Special Issue, Modeling and Simulation in Engineering, belonging to the section Control Theory and Mechanics of the Journal Mathematics, publishes original research papers involving advanced simulation and modeling techniques.The present reprint, "Modeling and Simulation in Engineering, 3rd Edition" contains 8 papers accepted after peer review by recognized specialists in the field. The papers address different topics in engineering that use modeling and optimization as well as experimental and numerical methods based on state-of-the art devices and software. The subjects of the papers address technical problems such as error mitigation in ultra-wide-band range measurements, trajectory control of differential drive mobile robots, motion controllers for the trajectory of mobile robots, propellant distribution optimization in space exploration missions, modeling trafic flow as a tool for vehicle adaptive cruise control systems, monitoring vehicle convoys using a drone-based platooning system, communication and navigation systems for Earth-Moon communication and rover movement on the Moon's surface and solving optimal control problems using a new state parametrization method.We hope that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modeling and simulation in mathematical physics and in engineering.
Redefining Humanity in the Age of Intelligent Machines
What does it truly mean to be human when machines compose symphonies, craft poetry, and offer moral guidance? In Redefining Humanity in the Age of Intelligent Machines, readers journey through the profound shifts reshaping human identity and purpose in our increasingly AI-driven world. From historical beliefs about human uniqueness to today's astonishing AI breakthroughs, this book challenges long-held assumptions of human exceptionalism. Provocative yet accessible, it explores art, ethics, empathy, and consciousness as it reimagines what our future looks like when machines not only match-but surpass-human capabilities. Prepare to question your deepest beliefs and embrace a thoughtful, inspiring vision for coexistence in the era of intelligent machines.
Sentiment Analysis With ML
This book explores the impact of sentiment analysis on social media platforms, examining how it influences public perception and behavior. It also delves into the role of machine learning in analyzing and understanding the dynamics of online interactions and the behavioral patterns associated with specific situations. In the rapidly evolving digital landscape, social media has become an integral part of daily life, shaping public discourse, influencing opinions, and fostering global interactions. The proliferation of various platforms, such as Facebook, Twitter, Instagram, and LinkedIn, has created vast digital ecosystems where individuals, organizations, and even governments engage in discussions, debates, and content sharing. The continuous flow of information in these online spaces has led to a growing interest in understanding how opinions and emotions expressed on these platforms impact society. One of the most effective methods for analyzing and interpreting these interactions is sentiment analysis, a field that employs computational techniques to assess and categorize opinions expressed in text, images, and videos. This book delves into the profound impact of sentiment analysis on social media platforms, exploring how it influences public perception and human behavior. Sentiment analysis, also known as opinion mining .
Avionics Software Verification & Validation
Mastering Software Testing for DO-178C compliance: A Practical Guide for Aerospace Safety"". Ensuring the safety and reliability of airborne software is critical in the aerospace industry. DO-178C, the gold standard for aviation software certification, mandates a rigorous testing process to achieve compliance. This book provides a Comprehensive, hands-on approach to software testing in line with DO-178C guidelines, Covering: Test planning, case design, and execution strategies, Structural Coverage Analysis' Your definitive guide to achieving DO-178C compliance through effective testing!
