Time Series Analysis in Earthquake Complex Networks
Earthquake time series are complex due to the variety of forces affecting earthquake generation, the complexity of the Earth's crust and mantle structure, where the earthquake source develops, and the complexity of the earthquake development process in space (generation of elementary cracks, their multiplication and coalescence, leading to main fault formation and final rupture) and time (kinetics of the different stages of the fracturing process). The early stages of the process developing in the deep layers of the Earth's crust cannot be studied in detail experimentally; at present, the only mechanism through which to model these initial stages of earthquake source development is experimental and theoretical modelling. New physical/mathematical methods of data analysis, such as nonlinear dynamics, artificial intelligence/machine learning/deep learning, non-extensive statistical analysis, natural time analysis, and complex network approaches, enable us to obtain mathematical regularities underlying physical/geophysical processes using only the time series of experimental observations.The aim of this Special Issue is to examine the progress in the analysis of complex systems' time series during the fracture process using new approaches to understanding the complexity of earthquake time series.
SAP S/4HANA aATP
In today's fast-paced and customer-driven market, supply chain precision is no longer optional-it is essential. Master SAP S/4HANA aATP delivers a practical, implementation-focused guide to leveraging Advanced Available-to-Promise (aATP) capabilities to transform supply chain performance and customer fulfillment.Designed for SAP consultants, supply chain professionals, and ERP practitioners, this book provides clear, step-by-step guidance on configuring and optimizing aATP within SAP S/4HANA. Readers will learn how to improve inventory visibility, execute real-time order fulfillment, manage backorders efficiently, and enhance customer satisfaction through intelligent availability confirmation.Inside, you will discover how to: Configure and implement SAP S/4HANA aATP effectivelyOptimize inventory allocation and product availabilityExecute real-time availability checks and substitutionsManage backorder processing with advanced rules-based logicImprove supply-demand matching across complex networksAlign SAP capabilities with modern supply chain strategiesWhether you are implementing aATP for the first time or enhancing an existing SAP S/4HANA landscape, this guide bridges the gap between system functionality and real-world supply chain execution.Transform your order fulfillment processes, increase operational transparency, and unlock the full potential of SAP S/4HANA aATP to drive supply chain excellence.
Text Mining
Encompassing fields such as information retrieval, extraction, classification, summarization and understanding, text mining has become indispensable across diverse application domains. Methodological advances span rule-based systems, statistical approaches, support vector machines, clustering, neural networks and most recently, deep learning, with distance and similarity estimation persisting as central challenges.This Special Issue comprises two survey papers and sixteen research articles, all addressing practical aspects of text mining. The surveys review methods for financial market prediction through social media analysis and sentiment detection, and provide a synthesis of techniques, evaluation strategies, and applications of recommender systems across domains including e-commerce, social media, and online learning.The research articles extend to text classification, sentiment analysis, summarization, and natural language understanding, as well as corpus construction and e-governance applications. Contributions include a large-scale Chinese toponym corpus, CHTopo, deep learning models for tourist behaviour prediction, semantic optimization of artifact presentation, BERT-based knowledge extraction for agricultural ontology construction, and transformer-based approaches for detecting moral features in television narratives.
Hacked and Hunted
In the digital world, one click can change everything.Social media promises fame, friendship, and freedom-but beneath the surface lies a darker reality. Hacked and Hunted: A Smart Girl's Guide to Online Safety is a gripping cyber-thriller that exposes how quickly online success can turn into a nightmare-and why digital awareness is no longer optional.Meet Aarushi, Kaneera, and Sophia-three young women connected by friendship and unknowingly bound by danger. Aarushi is a brilliant tech mind who understands the language of machines. Kaneera is a rising social media influencer, basking in likes, followers, and viral fame. Sophia, a determined law student, believes justice can protect the vulnerable. Their lives collide when a celebration of online success spirals into a chilling game of cyber manipulation.What begins as a harmless posting and online engagement soon unravels into a terrifying chain of events-phishing attacks, spyware infections, account takeovers, cyberstalking, doxxing, and personal data being sold on the dark web. A faceless hacker watches their every move, exploiting overshared information and digital blind spots. Trust fractures. Fear escalates. And the line between predator and prey begins to blur.As the threat intensifies, Aarushi is forced to push her technical skills to the limit, venturing into the hacker's world where one mistake could cost everything. Kaneera's online fame becomes a weapon used against her, while Sophia uncovers a painful truth: the greatest danger doesn't always come from strangers-it can emerge from within the systems we trust most.This is more than a fast-paced thriller-it's a wake-up call.Seamlessly blending storytelling with real-world cybersecurity lessons, this book educates readers on: Phishing scams and how attackers manipulate trustWeak passwords, account takeovers, and recovery strategiesSpyware, malware, and device compromiseCyberstalking, doxxing, and digital harassmentDark web data trading and identity exposureEthical hacking, digital footprints, and online traceabilityLong-term practices for protecting privacy and digital identityEach chapter reveals not only what happens to the characters-but how it happens, empowering readers to recognize threats before they become victims themselves.Written by Anand Shinde, an internationally recognized cybersecurity expert and mentor, and Vandana Keswani, a senior enterprise cybersecurity leader and passionate advocate for empowering girls online, this book draws directly from decades of real-world cyber defense experience. Their combined expertise transforms complex threats into relatable, actionable insights-without losing the intensity of a page-turning thriller.Hacked and Hunted is especially powerful for: Teen girls and young women navigating social mediaParents seeking awareness-driven stories for their childrenEducators and mentors promoting digital safetyAnyone who believes "it won't happen to me"This story will make you rethink every password, every post, and every moment you share online.Because in today's digital world, privacy is fragile, trust is exploitable, and awareness is survival.Once you step into this story, there's no turning back.
Smart Parent's Guide to Cybersecurity
Parenting doesn't come with a manual-especially in the digital age.Today's children grow up surrounded by screens, social media, online games, and limitless information. While the internet opens doors to learning, creativity, and connection, it also exposes young minds to risks many parents feel unprepared to handle: cyberbullying, online predators, privacy breaches, scams, screen addiction, and harmful content.Smart Parent's Guide to Cybersecurity is a practical, empowering roadmap designed to help parents confidently protect, guide, and educate their children in an increasingly connected world. Rather than promoting fear or excessive restriction, this book focuses on awareness, communication, trust, and practical action-the foundations of safe and responsible digital parenting.Written by two seasoned cybersecurity professionals with decades of global experience, this guide translates complex cybersecurity concepts into clear, relatable, and actionable advice for parents of all backgrounds. Whether your child is taking their first steps online or already navigating social media and gaming platforms, this book meets you where you are.Inside, you'll learn how to: Understand how children of different age groups use the internetIdentify real-world online threats such as cyberbullying, phishing, scams, malware, and online groomingCreate age-appropriate and secure digital environments across devicesSet healthy boundaries around screen time without damaging trustImplement and manage parental controls effectivelyTeach children digital etiquette, privacy awareness, and online responsibilityRecognize warning signs of online trouble and take the right steps earlySupport your child emotionally when online issues ariseBecome an active, positive presence in your child's digital lifeWhat sets this book apart is its balanced approach. Cybersecurity is not just about tools, filters, or monitoring-it's about equipping children with the judgment and confidence to make smart decisions even when parents aren't watching. Through real-life scenarios, expert insights, and practical strategies, parents learn how to move from control to collaboration, and from fear to preparedness.The book is structured to be easy to follow, with clearly defined chapters covering everything from devices and apps to social media, gaming, and connected technologies. It also includes curated resources, tools, and support networks parents can rely on beyond the book.Together, Anand and Jessen wrote this book with one clear mission: to help parents feel confident, capable, and supported in protecting their children online.If you're a parent who wants to raise a digitally aware, resilient, and responsible child-without panic, guilt, or confusion-Smart Parent's Guide to Cybersecurity is your trusted companion.Because protecting children online starts with informed parents-and meaningful conversations at home.
Applied Mathematics to Mechanisms and Machines II
This reprint compiles the nine articles from the Special Issue "Applied Mathematics to Mechanisms and Machines II" of the MDPI Mathematics journal, specifically from its "Engineering Mathematics" section. The articles, while diverse in their specific topics, uniformly focus on mechanisms as their object of study and employ mathematics as their foundational methodology. Key areas explored within the reprint include the following: Synthesis, design, and optimization of mechanisms; Robotics; Automotive applications; Maintenance 4.0; Machine vibrations; Control systems; Biomechanics; Medical devices.This reprint is intended for professionals and researchers in the field of Mechanism and Machine Science, with the aim of contributing to advancements in both mechanical engineering and applied mathematics.
Symmetry/Asymmetry of Differential Equations in Biomathematics
Symmetry principles play a fundamental role in understanding the complex dynamics of ecological and biological systems. This Special Issue brings together cutting-edge research that applies mathematical modeling, stability analysis, and bifurcation theory to explore symmetry-related phenomena across diverse biological contexts. The collected works demonstrate how symmetry concepts can reveal universal patterns in population dynamics, disease transmission, and resource management.
Innovative Technologies and Services for Unmanned Aerial Vehicles
This Special Issue Reprint compiles cutting-edge research on Unmanned Aerial Vehicles (UAVs), highlighting transformative advancements that broaden their capabilities across diverse sectors. Bringing together contributions from researchers, practitioners, and industry experts, this collection fosters interdisciplinary dialogue while delivering rigorous peer-reviewed insights into UAV technology and services. It covers a comprehensive range of critical topics, such as the following: autonomous navigation and control systems (including advanced algorithms for obstacle detection, path planning, and formation flying); innovative sensing/imaging technologies (hyperspectral imaging, LiDAR, thermal imaging for data acquisition); efficient communication/networking solutions (reliable, secure connectivity, network coordination, swarm intelligence for networked UAVs); payload design and service delivery (medical supply transport, infrastructure inspections); energy efficiency research (energy harvesting, optimization algorithms, sustainable power sources); and regulatory/ethical considerations for safe, responsible UAV deployment. Featuring original research articles, reviews, and case studies, this Reprint captures the latest breakthroughs pushing UAV application boundaries. It serves as an invaluable resource for professionals and researchers seeking to keep up to date with industry progress, inspiring further innovation and collaboration to advance UAV technology's real-world impact.
Machine Learning for Pattern Recognition (2nd Edition)
In the recent digital age, machine learning technology has made significant progress, revolutionizing applications in fields such as image recognition, speech processing, and natural language processing. These technologies have not only changed our daily lives but have also had a profound impact on medicine, finance, transportation, and other fields. However, pattern recognition, as an important branch of machine learning, still has many challenges and problems. This 2nd edition Reprint brings together contributions from leading experts in their fields. Each paper provides valuable insights into the latest trends, methods, and challenges in state-of-the-art applications of machine learning for pattern recognition. In addition, the studies in each paper not only showcase the latest advancements in machine learning algorithms but also discuss their successful applications and the challenges encountered in real-world scenarios.As Guest Editors, we are honored to present this 2nd edition Reprint, and we hope that readers, whether researchers, engineers, or students, will find inspiration and guidance in these papers as they explore the growing field of machine learning for pattern recognition. We express our gratitude to the authors for their outstanding contributions, to the reviewers for their critical evaluation, and to the Assistant Editor, Mr. Musea Wu, for his enthusiastic help. We are also sincerely grateful to our readers, whose curiosity and enthusiasm continue to drive innovation in this exciting field.
Application of Vision Technology and Artificial Intelligence in Smart Farming
Artificial intelligence (AI) and computer vision (CV) are increasingly applied in smart agriculture, offering significant potential to enhance farming efficiency, reduce manual labor, and lower production costs. In livestock farming, CV and AI enable behavior monitoring to improve animal health and welfare. In crop production, they support phenotype extraction, plant organ detection, and pest management. This Special Issue (Volume 2) presents original research and reviews on topics such as agricultural sensor optimization, livestock behavior recognition, AI-based automation, agricultural robotics, and big data analytics in farming.
Big Data Mining and Analytics with Applications
This Reprint contains all of the articles accepted and published in the Special Issue titled "Big Data Mining and Analytics with Applications" in the journal Mathematics. It compiles 10 papers related to span predictive modeling for spatiotemporal data (e.g., traffic, air quality, crowd flow), data quality and repair, automated data understanding (e.g., table type prediction), advanced clustering and user segmentation, scalable statistical learning (e.g., Bayesian variable selection), and text mining applications (e.g., document classification, fake review detection). Together, they highlight a strong focus on efficient, robust, and interpretable methods for big data mining and analysis across domains. It is our hope that these contributions will serve as an inspiring source for researchers in the domains of big data analytics and machine learning.
Recent Advances in Finite Element Methods with Applications
This Reprint contains all of the articles that were accepted and published in the Special Issue of Mathematics titled "Recent Advances in Finite Element Methods with Applications". This Special Issue aimed to collect recent advances in the construction, theoretical analysis, implementation, and application of finite element methods. The finite element method is an important tool used in applied sciences. In close association with computational mechanics, it has been increasingly applied across various fields, such as engineering, material sciences, environmental sciences, medicine, biology, as well as physics and chemistry, and so forth. It is hoped that this Reprint will inspire research in the theoretical study and application areas of finite element methods.
Modeling Aboveground Forest Biomass
Forest biomass modelling is essential for monitoring and storage. However, biomass in stands and forests varies according to the species, stand structure, and site. Biomass models can be developed using data obtained from destructive sampling, forest inventory, remote sensing, and ancillary. There is a wide range of data science methods and techniques that are currently applied in order to fit the models and evaluate their uncertainties. Biomass models are utilized in order to produce management alternatives. This reprint offers an overview of the various datasets and modelling methods employed to develop biomass functions, as well as their applicability at both the tree and area levels.The topics covered include the following: Biomass models at the tree level; Biomass models at the stand level; Datasets used in biomass modelling; Data science methods and techniques used in biomass modelling; Model performances and uncertainties; Development of management alternatives with biomass models.
Deep Learning for Perception and Recognition
The rapid advancement of deep learning technology has brought about transformative breakthroughs in perception and recognition systems across a wide range of applications. In addition to driving innovation in industrial sectors, it has opened up significant opportunities in fields such as intelligent transportation, smart cities, healthcare, and robotics.Deep learning significantly enhances the accuracy and robustness of perception and recognition systems through hierarchical feature extraction in multilayer neural networks, achieving remarkable results in areas such as soft sensing, image classification, natural language processing, and object detection. By training on large volumes of labeled data, deep learning algorithms are able to automatically learn complex feature representations and efficiently recognize objects during the perception process.As application scenarios grow more complex and data become increasingly diverse, deep learning models continue to face significant challenges in solving real-world perception and recognition problems. These challenges include ensuring model generalization when dealing with noisy, imbalanced, or limited data; enhancing performance through self-supervised, few-shot, or transfer learning in cases of insufficient labeled data; integrating information across different scales, dimensions, and modalities.
Numerical Simulation and Methods in Computational Fluid Dynamics
The present Reprint contains 8 articles accepted and published in the Special Issue "Numerical Simulation and Methods in Computational Fluid Dynamics" in the MDPI journal Mathematics, which cover a wide range of topics connected to the theory, numerical methods, and simulation techniques of complex fluid dynamic systems. These topics include, among others, magnetic field-induced Joule-heating thermal convection, a Tiwari and Das approach to buoyant convective thermal transport, as well as a computational and machine learning-based approach, and the use of an influence matrix method for accurate implementation of rotating magneto-hydrodynamics. Moreover, Newton's method using implicit Coriolis integration, transition modelling from shear-driven turbulence to convective turbulence, and convective heat transfer via uniformly accelerated and decelerated turbulent pipe flows are also explored.It is hoped that the Reprint will be interesting and useful for those working in the area of computational fluid dynamics (CFD), complex systems, and numerics, as well as for those with a mathematical background who wish to become familiar with recent advances in CFD, which now plays a crucial role in almost all sectors of human life and activity.
Mathematical Models and Simulations, 2nd Edition
This Reprint continues the work initiated in our previous edition, Mathematical Models and Simulations, emphasizing the central role of mathematical modeling in understanding complex systems across physics, biology, finance, and engineering. Mathematical models provide the structural framework through which the behavior of physical and abstract phenomena can be interpreted, predicted, and optimized. Alongside these theoretical foundations, numerical simulations serve as a crucial complement, enabling researchers to explore system dynamics, test hypotheses, and forecast quantities of interest with high fidelity.The Reprint brings together contributions spanning a broad spectrum of mathematical physics, highlighting both deterministic and stochastic modeling approaches. Deterministic models typically rely on ordinary or partial differential equations to describe well-defined system evolutions, while stochastic models account for randomness through stochastic processes or stochastic differential equations. Emphasis is placed on rigorous mathematical analyses of these models to ensure clarity, reliability, and applicability.
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.
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.
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.
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.
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.
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.
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!
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.
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.
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.
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.
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.
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.
