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.
Transforming Digital Healthcare with AI
AI and emerging technologies are revolutionizing digital healthcare, transforming everything from diagnostics and treatment to data security and smart hospital systems. Transforming Digital Healthcare with AI explores the profound impact of AI, data science, and smart technologies in shaping the future of healthcare. This book delves into cutting-edge innovations such as quantum computing, blockchain, digital twins, and telehealth, offering insights into how these advancements are enhancing efficiency, security, and patient outcomes. Bringing together critical discussions on automation, privacy, and ethical AI, this book provides a comprehensive view of the digital healthcare landscape. Whether you're a healthcare professional, technologist, policymaker, or researcher, this essential read unpacks the opportunities, challenges, and transformative potential of AI-driven digital healthcare.
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!
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.
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 .
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.
Experiments and Simulations of Superalloys
This Special Issue presents the latest advances in the design, processing, and performance evaluation of Ni-based superalloys. The presented articles highlight key aspects such as microstructural evolution, high-temperature tensile behavior, low-cycle fatigue, and the effects of alloying and processing on mechanical properties. Covering both single-crystal and directionally solidified superalloys, the contributions provide insights into γ/γ′ phase interactions, deformation mechanisms, and phase stability. This compilation can serve as a valuable reference for researchers and engineers working on high-performance alloys for turbine, aerospace, and power-generation applications.
Research on Fuzzy Logic and Mathematics with Applications II
This Special Issue deals with the uncertainty of information in real-world problems and use cases. It is now well-known that fuzzy set theory is a suitable theory in this regard. This theory is a valuable conceptual tool for handling vague concepts and sets forth a unifying framework for modeling various types of information. The motivation and the goal of this Special Issue is to bring together researchers contributing to this exciting field of research and also inspire interested readers and researchers alike to develop effective tools to deal with imprecise and uncertain environments.
Recent Progress and Challenges of Artificial Intelligence in Bioinformatics and New Medicine
This Reprint showcases cutting-edge research at the intersection of artificial intelligence (AI), bioinformatics, and new medicine. It highlights recent advances and persistent challenges in leveraging AI to address complex biological and clinical problems, such as multi-omics integration, cancer discovery, single-cell analysis, and network modeling. Contributions include innovative deep learning methods, data mining approaches, and computational tools designed to decode disease mechanisms, identify risk factors, and accelerate translational medicine. By compiling high-quality studies and reviews, this Reprint provides a comprehensive resource for researchers exploring how AI-driven technologies are reshaping bioinformatics and pioneering the future of precision medicine.
The Immortal Mirror
In a world racing toward digital immortality, where minds can be uploaded and consciousness may one day be preserved forever, humanity stands on the brink of its most profound transformation. This groundbreaking exploration dives deep into the heart of mind uploading, where the lines between life and death, memory and code, body and machine blur into unsettling new realities. Are we simply collections of data waiting to be cloned? Or does our essence transcend what technology can capture? Through gripping real-world stories, cutting-edge research, and timeless philosophy, this book confronts the emotional, ethical, and psychological dilemmas surrounding AI clones and digital consciousness. It boldly questions whether preserving consciousness is the ultimate triumph over mortality or a dangerous illusion that threatens the very core of what it means to be human. Readers will discover: - How the rise of virtual self identity challenges our deepest assumptions about personal existence. - The hidden dangers and seductive promises of technology and mortality in an age of brain simulation. - The spiritual and emotional costs of attempting to defy death through digital afterlife technologies. - The complex ethics of brain upload, from questions of consent to the haunting risks of eternal suffering. - Why philosophers, scientists, and spiritual teachers warn that true meaning may lie not in living forever, but in accepting the beauty of impermanence. Whether you're fascinated by cutting-edge technology, captivated by the mysteries of the human mind, or seeking answers to the ultimate questions of life and death, this is a book that will challenge, inspire, and transform your understanding of the coming age of AI cloning. Prepare to confront your digital shadow and glimpse the unsettling future of human existence.
Trends in Fixed Point Theory and Fractional Calculus
This reprint, Trends in Fixed Point Theory and Fractional Calculus, brings together a carefully curated collection of contributions that highlight recent developments in two dynamic areas of modern mathematical research. Fixed point theory remains a cornerstone of nonlinear analysis, with wide applications to operator theory, variational inequalities, and functional equations. Fractional calculus, by extending differentiation and integration to non-integer orders, has emerged as a powerful framework for modeling memory effects and hereditary dynamics in complex systems.The reprint illustrates the growing synergy between these fields, showcasing advances in theoretical constructs such as contractive mappings, modular and bipolar metric spaces, enriched contractions, and set-valued mappings. At the same time, it presents practical applications to nonlinear integral equations, fractional differential systems, and stability problems relevant to physics and engineering.Contributions from international experts reflect both rigor and innovation, addressing abstract generalizations in mathematical spaces alongside real-world problem-solving. The works demonstrate the breadth and depth of current research and open avenues for further exploration across mathematics and applied sciences. This reprint will serve as a valuable reference for researchers, graduate students, and professionals seeking to engage with the latest fixed point theory and fractional calculus trends.
New Advances in Distributed Computing and Its Applications
Distributed computing frameworks offer a powerful means to train AI models and deploy AI applications at scale. This reprint aims to introduce those recent advances and practical applications in distributed computing. This reprint presents the most recent research in distributed computing, with a particular emphasis on studies that feature practical methods and experimental results. It aims to help readers quickly grasp emerging trends in the field. In particular, this reprint can assist readers in identifying effective mechanisms to address the challenges they encounter in distributed computing. Much of the content in this reprint is drawn from New Advances in Distributed Computing and Its Applications, a Special Issue of MDPI's journal Electronics. This Special Issue includes 20 papers, covering topics such as artificial intelligence model offloading in mobile networks, blockchain-based data security, throughput optimization for distributed blockchain systems, and resource scheduling in FPGA systems for edge computing. We have selected the most relevant papers and organized them into four chapters based on their themes.
Knowledge Information Extraction Research
This Reprint presents recent advances in the rapidly evolving field of Knowledge and Information Extraction Research, with a particular emphasis on methods that transform heterogeneous and unstructured data into structured, actionable knowledge. It brings together diverse contributions exploring methodological innovations across natural language processing, machine learning, data mining, information retrieval, and knowledge graph construction. By integrating these perspectives, the Reprint demonstrates how technical progress in algorithm design and system development is reshaping the landscape of intelligent information management.The Reprint highlights the growing importance of precision, scalability, and interpretability in modern extraction techniques. Selected articles address challenges such as extracting semantics from complex texts, modeling relationships within large-scale knowledge graphs, and applying deep learning approaches to enhance efficiency and reliability. Interdisciplinary collaboration emerges as a recurring theme, underscoring how computational methods can be successfully combined with domain-specific expertise to tackle real-world problems. Contributions illustrate how advanced knowledge extraction techniques can drive innovation in healthcare, finance, e-commerce, cybersecurity, and other data-intensive sectors. By bridging theoretical development with implementation in practice, the Reprint demonstrates its role not only as a record of scholarly progress but also as a resource for practitioners seeking solutions to pressing information challenges.
Advance in Control Theory and Optimization
The present reprint compiles a total of 14 articles originally published in the Special Issue "Advance in Control Theory and Optimization" of the MDPI Mathematics journal. These contributions collectively explore the latest applications of mathematical methodologies across the interconnected domains of control theory and optimization, offering both theoretical insights and practical implementations. These topics cover camera calibration; cell voltage; multiple trains systems; digital economy; reinforcement learning; multi-population model; mean-field game; distributed cooperative algorithm; library group therapy behavior; nonlinear constraints; multi-agent systems; hyperchaotic system; continuous-time linear repetitive system; iterative learning control; event-triggered control; fixed-time; constrained multiobjective optimization; high-dimensional solution space; generative adversarial network; consensus; adaptive iterative learning control; hybrid optimization; particle swarm optimization; honey badger optimization algorithm; differential evolution; robust constrained cooperative control; optimization control. The reprint is intended for a wide range of scientific subjects, including complex modeling systems, artificial intelligence, optimization and scheduling, control system analysis, and collaborative control theory.It is hoped that the reprint will be interesting and valuable for those working in the area of control and optimization, as well as for those having the proper mathematical background and willing to become familiar with recent advances of control theory and optimization.
New Theory and Applications of Nonlinear Analysis, Fractional Calculus and Optimization
The ten articles published in this Special Issue, "New Theory and Applications of Nonlinear Analysis, Fractional Calculus and Optimization", demonstrate the profound impact and widespread applications of nonlinear analysis, fractional calculus, and optimization in applied mathematics and modern science.Overall, these papers provide inspiration for future research efforts in these exciting areas and offer novel research questions and avenues.
Architecture-Based 5G Security Simulation
The fifth-generation technology standard for mobile networks (5G) introduced a massive increase in capability due to the increased use of Internet of Things devices. However, implementing additional untrusted technology, such as IoT devices, exposes the infrastructure to unsecure hardware and software. As a result, the attack surface of the 5G mobile network has increased after transitioning from LTE to the 5G standard. Three research questions and hypotheses were composed to evaluate the architectural design of the network for the healthcare use case. The Perimeter Security, Zero Trust
Machine Learning Advances and Applications on Natural Language Processing (NLP)
The impressive achievements of recent state-of-the-art machine learning models are revolutionizing the area of text and language applications. On the one hand, popular large language models (LLMs) have demonstrated an enormous capability in automatic and reasonable text generation. On the other hand, Transformer-based models have drastically improved the performance of other, highly important natural language tools, including traditional sentiment analyzers, machine (auto)translators, and multimedia annotators. Furthermore, such natural language processing (NLP) techniques are heavily utilized in social networks, microblogs, eCommerce systems, and numerous other disciplines.This Reprint contains 10 high-quality, peer-reviewed original research papers in the field of natural language processing. These articles have been selected with the aim of providing the research community with insights that will open up new directions in this discipline. The authors of these papers have introduced new models, methods, and techniques related to large language models, sentiment analysis applications, effective text representations, text classification and text clustering.
A Guide to Desktop Linux in 2025
Perhaps you've heard of Linux before. Maybe you know it as that operating system for computer wizards with the cute penguin mascot. While that characterisation isn't completely *wrong*, Linux is not just for the computer wizards. So many more people, of all stripes, use it on their desktops than you might imagine.If you're wondering if you'll fit in among this crowd, don't worry! Linux is for everyone. Whether you're an accountant or a visual novel fanatic, you can keep doing what you love on your computer with Linux.Whether you're worried Windows no longer has your best interests at heart, or you're just plain curious, this guide will help you get up and running while avoiding all of the usual potholes and footguns along the way.If you tried Linux a long time ago, you'll be glad to know all aspects of the desktop have only gotten better over time. You might not even recognise it!It's not 1998 anymore. It's been over 30 years since Linux was first released, and the Linux Desktop has undergone seismic shifts in usability and capability over the years. This book is designed for the modern age and helps you take advantage of all the latest technology available for desktop Linux. Even if you've used Linux before, things have changed *a lot* in just the last few years.That's not to say the Linux Desktop isn't as quirky as it has ever been, but the jankiness has been sanded off in many areas. There's plenty you can do on Linux, and yet it would be a lie to say there isn't a cost to that freedom most of your penguin friends aren't forthcoming about. This guide acknowledges the limitations of the Linux world and doesn't try to hide them from you.In this book, you'll find chapters about: getting your new Linux distribution setup on your computerproviding step-by-step guidance for installation, software compatibility, gaming, and productivityexploring the history of desktop Linuxthe bright yet uncertain future of LinuxBuy this book now and dip your toes into the weird and wonderful world of Desktop Linux. Just don't blame me when your house starts filling up with penguin plushies and red hats.
AI for Smart Students
AI for Smart Students is a practical, hands-on guide that teaches students how to use Artificial Intelligence to study smarter, build meaningful projects, and grow personally and professionally. Written in clear, simple language, the book translates complex concepts into real-world tools and step-by-step examples so beginners-and B.Tech students in particular-can start applying AI right away.Inside you'll find concise explanations of core AI ideas plus dozens of ready-to-use tutorials: study planners and productivity hacks, AI writing and coding assistants, note-taking and summarization tools, no-code app builders, IoT/robotics project recipes, API how-tos, and presentation templates. Each chapter mixes short theory with hands-on exercises, real student case studies, mini-project blueprints, and practical tips for hackathons, portfolios, and job preparation.Whether you want to save study time, win a hackathon, build a portfolio that gets noticed, or use AI to improve wellbeing and creativity, this book gives you the tools and the confidence to do it. Straightforward, action-oriented, and packed with examples, AI for Smart Students turns curious learners into creators. Start small - build something big.
Emerging Standards for Enhanced Publications and Repository Technology
Emerging Standards for Enhanced Publications and Repository Technology serves as a technology watch on the rapidly evolving world of digital publication. It provides an up-to-date overview of technical issues, underlying the development of universally accessible publications, their elemental components and linked information. More specifically it deals with questions as how to bring together the communities of the Current Research Information Systems (CRIS) and the Common European Research Information Format (CERIF). Case studies like EGEE, DILIGENT and DRIVER are analyzed, as well as implementations in projects in Ireland, Denmark and The Netherlands. Interoperability is the keyword in this context and this book introduces to new standards and concepts used in the design of envelopes and packages, overlays and feeds, embedding, publishing formats and Web services and service-oriented architecture. It is a must-read for quick and comprehensive orientation.
Enhanced Publications
The traditional publication will be overhauled by the 'Enhanced Publication'. This is a publication that is enhanced with research data, extra materials, post publication data, and database records. It has anobject-based structure with explicit links between the objects. In this book a state-of-the-art overview is given of the structural elements of an Enhanced Publication, as well as publication models, interrelationship andrepository issues. The use of Enhanced Publications evokes questions on object models and functionalities. An in-depth study is made of these subjects. More practically, a sample is given of datasets together witha demonstrator-project. In the final section, this book deals with long-term preservation issues, linking to thedevelopments of digital repositories that are studied in other books in this series.
Advancements in Natural Language Processing, Semantic Networks, and Sentiment Analysis
This Special Issue examines the intersection of NLP, semantic networks, and sentiment analysis, exploring how these technologies can contribute to more intelligent systems. The contributions gathered address, among other topics, the detection of irony and sarcasm, the generation of semantic explanations, the automatic construction of semantic graphs, the expansion of linguistic resources for underrepresented languages, and the use of large language models. Ultimately, this Special Issue aims not only to reflect the state of the art in the areas above but also to stimulate critical reflection on the methodological challenges, ethical implications, and interdisciplinary opportunities that arise at the intersection of computational linguistics and artificial intelligence.
Opbert-Segcn
This book introduces a novel approach that revolutionizes the way sentiment knowledge is integrated and transferred within ABSA models. It proposes a pioneering method that employs sentiment links within a dependency graph, acting as conduits for the efficient transfer of sentiment knowledge from sentiment and opinion nodes to aspect nodes. This innovative mechanism significantly enhances the model's ability to capture sentiment information, leading to more accurate sentiment predictions. Furthermore, ""OPBERT-SEGCN"" introduces the Opinion-Infused BERT (OPBERT) model, which generates text representations that boost the identification of opinion words. This integration of deep learning and sentiment analysis provides a powerful tool for understanding the nuances of public opinion and policy analysis, hospitality and tourism, and financial services. Rich with experimental evidence from five publicly available datasets, the book demonstrates the superior performance of the proposed mechanisms over existing models. It is an essential read for researchers, data scientists, and practitioners in the field of natural language processing and sentiment analysis, offering insights into the future of understanding and reacting to human opinions and reactions at a granular level.
Virtual Reality and Metaverse
Virtual reality, augmented reality, and the metaverse are no longer futuristic concepts-they are reshaping how society works, learns, and interacts.This Reprint compiles peer-reviewed studies exploring how diverse sectors such as healthcare, education, industry, and tourism are adapting to these immersive technologies. It offers a concise yet comprehensive view of the opportunities, challenges, and ethical considerations surrounding the digital transformation of society.This Reprint constitutes a significant resource for researchers, professionals, and curious minds interested in the future of human-technology interaction.
IoT Implemented Indoor Air Quality and Health Monitoring System Using IoT
Environmental and air pollution present significant health risks to humans, often leading to previously unrecognized health complications. One critical factor is that the impact of indoor air quality on respiratory and overall physical health can be more pronounced than outdoor air quality. While research has explored the connection between health and the environment, there is an increasing focus on analyzing public and large-scale synergistic data. However, many of these studies lack real-time data analysis. This book focuses on developing an environmental detection sensor system that utilizes devices to monitor air quality for indoor and outdoor applications. In addition, this book focuses on developing an environmental detection sensor system that utilizes devices to monitor air quality for indoor and outdoor applications. Furthermore, this investigation highlights the importance of real-time verification, collection, and analysis of health and environmental data from various sources to implement effective health monitoring systems. Techniques such as fuzzy logic, artificial intelligence, machine learning, and deep learning have proven valuable in accurately predicting health outcomes and identifying hazardous situations. Additionally, this work explores strategies for preventing respiratory and related diseases, emphasizing minimizing health risks.
The AI Revolution
Artificial Intelligence is reshaping our world. However, for many individuals, it appears to be complicated and out of reach-an overwhelming world of algorithms and data. Sunny Okonkwo, a renowned data scientist, AI consultant, Energy expert and storyteller, is here to change that. In The AI Alchemist, Sunny guides readers on a life-changing exploration to illuminate AI and demonstrate its capacity to produce tangible solutions. Through real-world case studies and engaging examples, this book covers: How AI is revolutionizing industries like finance, healthcare, energy, and business The process of transforming complex data into actionable insights The ethical challenges of AI and the responsibility of innovators The future of AI innovations and how they can shape tomorrow's world. Whether you are a technology enthusiast, a business executive, or someone inquisitive about AI's possibilities, this book will inspire you to view AI as a means for clarity, simplicity, and progress.
Recognizing Arabic Digits Techniques and Applications
In an increasingly digitized world, the ability to accurately recognize Arabic digits is essential across various applications, from banking to education. This book provides a thorough exploration of the methodologies and technologies behind Arabic digit recognition. It covers the fundamental concepts, advanced techniques, and practical implementations, making it an invaluable resource for researchers, developers, and students alike. Inside, you will discover: A detailed overview of digit recognition systems Insights into machine learning and deep learning approaches Case studies showcasing real-world applications Best practices for developing robust recognition algorithms Challenges and future directions in the field Whether you are an experienced engineer or a novice eager to learn, this book will equip you with the knowledge and tools to excel in Arabic digit recognition.
Mastering Machine Learning
Mastering Machine Learning: How to Build Smarter AI Systems with Real-World Applications is your essential guide to understanding and applying machine learning in real-world scenarios. From self-driving cars and personalized recommendations to fraud detection and medical diagnoses, machine learning is revolutionizing industries. Yet, for many, it remains an enigma. This book breaks down complex ML concepts into an accessible, structured, and hands-on learning experience. Whether you're a beginner, an aspiring data scientist, or an industry professional, you'll gain the knowledge and skills needed to master ML-from foundational principles to cutting-edge techniques like deep learning and reinforcement learning. With practical case studies, Python coding exercises, and expert insights, this book empowers you to build, train, and deploy ML models with confidence. Get ready to unlock the secrets of intelligent systems and shape the future with machine learning!
Overcoming Barriers to Digital Transformation
In the definition of the term IT infrastructure, one of the important characteristics is that it focuses on people, in particular on the fact that they are key part of the information system. Most of the existing technology management literature is limited to the manufacturing sector. The books on technology management are generally very applied and narrow in focus, emphasizing the research and development process, and the engineering process. This work is to fill the void by presenting an integrative, strategic, and innovative approach to digitalizing a production system for today and for the next twenty years.
Architecting Intelligent Data Systems
""Architecting Intelligent Data Systems: From Big Data Infrastructure to Advanced Analytics and AI"" by Chandrakanth Lekkala is a definitive guide to modern data system architecture. With 28 meticulously crafted chapters organized into six major parts, this groundbreaking work bridges foundational concepts and cutting-edge advancements in data technologies, from distributed infrastructures to sophisticated AI implementations. Lekkala explores the evolution of data systems, offering deep insights into scalable data pipelines, machine learning, advanced analytics, and emerging trends like quantum computing and privacy-preserving AI. Practical examples, architectural patterns, and real-world use cases span industries such as finance, healthcare, and smart cities, making this book an indispensable resource for data professionals. A hallmark of this text is its focus on ethical AI, data governance, and responsible innovation, ensuring that readers are equipped to navigate the complex challenges of modern data systems with integrity and foresight. Whether you're a data architect, engineer, or researcher, ""Architecting Intelligent Data Systems"" provides the tools and insights needed to design scalable, secure, and ethical data solutions. Chandrakanth Lekkala's expertise and vision make this a must-read for anyone shaping the future of data-driven technology.
CompTIA Tech+(TM) Certification All-in-One Exam Guide, Third Edition (Exam FC0-U71)
This up-to-date exam guide delivers complete coverage of every topic on the FC0-U71 version of the CompTIA Tech+ Certification examTake the CompTIA Tech+ exam with complete confidence using this effective self-study system. Part of the bestselling series created and edited by Mike Meyers, the leading expert on CompTIA certification and training, and written by a CompTIA certification and training expert, this authoritative guide explains foundational computer technologies in full detail. You'll find learning objectives at the beginning of each chapter, exam tips, exam objective review sections, practice exam questions, and in-depth explanations throughout. Designed to help you pass the CompTIA Tech+ exam with ease, this definitive guide also serves as an essential on-the-job reference. Covers all exam topics, including: IT concepts and terminologySystem hardware and peripheralsData storage and sharingOperating system types and purposesSelecting, installing, and using applicationsMobile device connectivity, security, and configurationNetwork concepts and internet connectivitySecuring hardware, software, data, and networksBest practices for preventing security breachesCustomizing and configuring web browsersTroubleshooting common computer problemsRelational and non-relational databasesSoftware development concepts and structuresOnline content includes: 180+ practice exam questions in a customizable test engineOne hour of video training from Mike MeyersMike Meyers' favorite shareware and freeware networking tools and utilities
Instant Richest Ai Dad...richer Ai Mum
In a rapidly evolving world where technology orchestrates the symphony of modern existence, the concept of wealth has transcended traditional boundaries. The emergence of Artificial Intelligence, a transformative force, has reshaped industries and redefined the parameters of success. At the confluence of innovation and opportunity lies the remarkable potential for financial prosperity, harnessed through the strategic application of AI. This book, "INSTANT RICHEST AI DAD...RICHER AI MUM", delves into the profound impact AI can have on generating substantial income. It aims to illuminate the path toward financial success by exploring the habits and strategies that leverage AI's capabilities to create a consistent flow of earnings. As you turn the pages, you will uncover the secrets to tapping into AI-driven opportunities, transforming them into daily streams of wealth.
Foundations and Frontiers of Computing
Foundations and Frontiers of Computing: A Comprehensive Guide to Software Development, AI, and Emerging Technologies by Atul Singh (pen name: Shyamankar Singhari) is a definitive resource for mastering computer applications in the rapidly evolving tech landscape of 2025. Drawing from the author's decade of teaching and industry experience, this book offers a unique blend of foundational computing principles and cutting-edge innovations, making it an essential guide for students, self-learners, and professionals aiming to excel as software developers, AI engineers, or cloud architects.Key Features: Comprehensive Curriculum: Spans programming fundamentals (C, Python, Java), data structures, algorithms, databases, and advanced topics like AI, machine learning, quantum computing, post-quantum cryptography, spatial computing, and sustainable IT.Practical and Hands-On: Includes original code examples and projects such as a Library Management System, Tic-Tac-Toe with AI, and an AI-driven healthcare app, enabling readers to build a professional portfolio.2025 Tech Trends: Covers emerging fields like agentic AI, 6G networks, AI governance, and green computing, ensuring relevance in the modern tech ecosystem.Inclusivity and Accessibility: Integrates tools like VS Code's screen reader support and ethical AI discussions to promote inclusive learning and responsible technology development.No Prerequisites Needed: Requires only a computer with internet access, with step-by-step setup guides for tools like VS Code, GCC, Python 3.13.7, and MongoDB 8.1.Structure: Part 1: Foundations in Computing introduces programming (C, Python), data structures, discrete mathematics, computer architecture, and databases, with hands-on labs and a web technologies elective.Part 2: Systems and Software Development covers Java, operating systems, networks, software engineering, and AI/ML basics, with projects like banking systems and data analyzers.Part 3: Advanced and Specialized Topics dives into NoSQL databases, advanced AI, cybersecurity, cloud computing, and data science, preparing readers for complex challenges.Part 4: Capstone and Emerging Innovations explores advanced AI, quantum computing, 2025 IT trends, and a major project, equipping readers to innovate in fields like agentic AI and post-quantum security.Why This Book?Unlike traditional textbooks, this guide combines real-world classroom insights with industry-relevant projects, aligning with 2025's technological advancements. It emphasizes practical skills, ethical considerations, and portfolio-building exercises, making it ideal for beginners and seasoned professionals alike. Whether you're coding your first program or exploring quantum circuits with Qiskit, this book empowers you to shape the digital future with confidence.
Recent Advances in Chaos, Fractal and Complex Dynamics in Nonlinear Systems
This reprint collates all of the articles published in the Special Issue of Mathematics titled "Recent Advances in Chaos, Fractal and Complex Dynamics in Nonlinear Systems". This Special Issue was devoted to showcasing the latest theoretical advances and practical developments in the field of nonlinear dynamics, with a particular focus on chaotic behavior, bifurcation phenomena, fractal structures, and the emerging dynamics in fractional-order, discrete, and discontinuous systems.The collected works reflect the rapid progress that has been achieved in understanding the interplay among nonlinear systems, chaos, bifurcation, and fractals. The topics include new methods for detecting chaos, novel types of attractors (including hidden attractors), fractal features in fractional-order systems, and the applications of chaotic and fractal dynamics in areas such as secure communication and optimization algorithms.We hope that this reprint will serve as a valuable reference for researchers and practitioners engaged in the study of nonlinear systems, and in particular, those exploring chaos theory, bifurcation analysis, fractal geometry, and the complex behavior of emerging dynamical models.
Theory and Applications of Fuzzy Systems and Neural Networks
Fuzzy systems and neural networks are the main theoretical approaches in computational intelligence. These approaches have been successfully applied in a wide range of fields, such as information science, mathematics, control engineering, image processing, pattern recognition, robotics, mechatronics, consumer electronics, and system optimisation. They provide an effective tool for data and knowledge-based modelling that deals with many real-world problems with quantitative and qualitative complexity in terms of dimensionality and uncertainty.Fuzzy systems and neural networks complement each other and can be combined with other computational and artificial intelligence-based techniques, such as evolutionary algorithms and machine learning, to solve complex real-world problems. The integration of fuzzy systems and neural networks, in particular, can bring out the best of both approaches and usually provides better system performances in terms of modelling efficiency and accuracy.This reprint features original research of the highest scientific quality related to the theory and applications of fuzzy systems and neural networks. It includes original and unpublished works that present innovative methods for enhancing fuzzy systems and neural networks. Its scope includes systematic and empirical studies that contribute to significant novel developments in the theoretical and applied aspects of research in the field.
New Advances in Distribution Theory and Its Applications
This Special Issue covers recent developments in distribution theory where the proliferation of 'new' distributions-often derived through standardized techniques-has led to the development of models that prioritize mathematical elegance and rigor over interpretability. While these models may exhibit increased complexity, they often fail to provide meaningful insights or flexibility beyond existing distributions in the literature.The Special Issue aims to reinvigorate the field by highlighting contributions that emphasize both the flexibility of statistical models and the clarity of their parameter interpretations. It focuses on developing distribution models grounded in specific mechanisms or characteristics related to real-world contexts, as well as frameworks that advance families of distribution functions. The contributions herein introduce reparameterizations to enhance model interpretability, explore regression models using key characteristics or indicators, and offer original applications with real data.Through this collection, the Special Issue seeks to foster deeper insights into statistical distribution theory, ensuring that new models remain practical and interpretable while advancing the flexibility and utility of existing frameworks.
Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes
The aim of this Special Issue is to explore the multifaceted aspects of data-driven intelligent modeling and optimization algorithms for industrial processes. The main goals are to harness the power of data to improve control, decision making, and parameter optimization, and to drive industrial systems to unprecedented levels of efficiency, reliability, and adaptability. Research areas in this Special Issue include digital twin technology, multimodal data recognition, sensor data ingestion and real-time processing, multi-objective path-planning, conditional generative adversarial network, generating job recommendations, comprehensive risk assessment, large language models, self-supervised key-point learning, trustworthy article ranking, engine optimization model, and bioinspired generative design. These powerful and intelligent algorithms use data for control, decision making, and parameter optimization, driving industrial systems to unprecedented levels of efficiency, reliability, and adaptability. By sharing their practice and insights in the development and application of these new technologies, the authors of the articles in this reprint have demonstrated the value of data-driven intelligent modeling and optimization algorithms for industrial processes, providing readers with valuable ideological inspiration in the field.
Systems, Software and Services Process Improvement
The two-volume set CCIS 2657 + 2658 constitutes the refereed proceedings of the 32nd European Conference on Systems, Software and Services Process Improvement, EuroSPI 2025, held in Riga, Latvia, during September 17-19, 2025. The 42 papers included in these proceedings were carefully reviewed and selected from 72 submissions. They were organized in topical sections as follows: Part I: SPI and Emerging and Multidisciplinary Approaches to Software Engineering; SPI and Standards and Safety and Security Norms; SPI and Functional Safety and Cybersecurity. Part II: Sustainability and Life Cycle Challenges; SPI and Recent Innovations; Digitalisation of Industry, Infrastructure and E-Mobility; SPI and Agile.
Computable Structure Theory
This is the first book which gives a unified theory for countable and uncountable computable structures. The work treats computable linear orderings, graphs, groups and Boolean algebras unified with computable metric and Banach spaces, profinite groups, and the like. Further, it provides the first account of these that exploits effective versions of dualities, such as Stone and Pontryagin dualities. The themes are effective classification and enumeration. Topics and features: - - - - - This unique volume is aimed at graduate students and researchers in computability theory, as well as mathematicians seeking to understand the algorithmic content of structure theory. Being self-contained, it provides ample opportunity for self-study.
IMU, ICM, Medals, Prizes, and Laureates
The book begins with the formal establishment of the International Mathematical Union (IMU) and its purpose of promoting international cooperation in mathematics by supporting and assisting the international Congress of Mathematicians (ICM) every four years. The book presents the most important features of each ICM (from 1897 to 2022) including the history of various medals and awards, particularly the Fields Medal, which is regarded as one of the highest honors a mathematician can receive and has been described as the Nobel Prize of mathematics. For each Laureate, the book provides their family background, a short description of the work that led to the award, a history of academic jobs, research conducted after receiving the award, and a list of further honors and awards. This book will stimulate all mathematicians, especially students who think that mathematics is less rewarding compared to other disciplines.
Towards Autonomous Robotic Systems
This LNAI 16045 volume constitutes the proceedings of the 26th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2025, held in York, UK, duing August 20-22, 2025. The 32 full papers and 4 short papers, together with 4 invited papers presented in these volumes were carefully reviewed and selected from 74 submissions. The papers were categorised into seven groups: Human-Robot Interaction and Teleoperation, Sensing and Perception, Locomotion and Control, Manipulation and Dexterous Interaction, Software Engineering for Robotics, Underwater Robotics and Autonomy, Aerial Robotics and Path Planning, and Challenging Environments.
The Racket Guide
This guide is intended for programmers who are new to Racket or new to some part of Racket. It assumes programming experience, so if you are new to programming, consider instead reading How to Design Programs.
The Management Of Commercial Computing
The Management Of Commercial Computing. ISBN: 0952795604 Year: 1996 The development and management of systems and people in multi-national corporations, systems and software houses, government departments, European Union Commissions and academia.
Computing Power Drives the Future
Computing power has long grown at an exponential rate. That rapid advance has allowed digital systems to do more each year. Computer power crossed a major threshold when it made "Artificial Intelligence" driven by deep neural networks economically feasible. And huge investments are being made in ever-larger computer centers to support AI. This book challenges the assumptions behind those huge investments and explains why the generative AI that is making all the news is over-rated.Computer power crossing a threshold allowed deep neural nets to be practical, and they have indeed been used effectively for many limited applications. Meisel discusses the "next big thing" that exponential growth in computer processing speed will allow. The book provides a realistic description of what we can expect as computer power grows ever more quickly than most past innovations, with major impacts on society, the economy, and competition between countries.
Algorithms for Games AI
Games have long been excellent benchmarks for AI algorithms for two reasons. Initially, games are developed to assess and challenge human intelligence, and the variety of games can provide a rich context for evaluating different cognitive and decision-making abilities. Secondly, addressing complex real-world challenges often requires repeated trial and error, which can be very costly. Games offer a low-cost or even zero-cost platform for validating various algorithms and solutions by simulating or emulating real-world scenarios. Algorithms initially developed for gaming are subsequently applied to various real-world problems, generating social benefits across all aspects of life. This Special Issue, entitled "Algorithms for Game AI", explores new and innovative approaches for addressing challenges in game AI. These approaches range from traditional algorithms like planning and searching to modern algorithms such as deep reinforcement learning. The papers in this Special Issue address both the theoretical and practical challenges of the application of these algorithms. This reprint presents eleven papers covering a wide range of game AI topics, including the quantification of non-transitivity in chess, the expressiveness of level generators in Super Mario Bros, Mahjong as a new game AI benchmark, new MARL algorithms to reduce Q-value bias, surveys of various AI algorithms in cyber defense, energy areas and games, the application of MCTS in Amazons, the application of deep reinforcement learning in autonomous vehicle driving, and the application of transformers in both offline RL and imitation learning.
Fuzzy Sets and Fuzzy Systems
Over time, the concepts of cost, time, delivery, space, quality, durability, and price began to gain more significance in the emerging trends of information technology when it comes to solving managerial decision-making problems in supply chain models, transportation issues, inventory control issues, and related areas. In uncertain situations, competition is becoming more difficult by the day. For instance, a number of diverse aspects, such as the cost of manufacturing and one's degree of income, frequently influence consumer demand. In these situations, the demand is either still unmet or remarkably difficult to meet in the real-world market. Due to their numeric membership functions, fuzzy sets cannot always represent this uncertainty explicitly. However, it has been discovered that type two, random fuzzy, bifuzzy, and fuzzy random sets are more suited to account for intrinsic uncertainty. These various fuzzy systems are able to manage greater degrees of ambiguity in increasingly difficult real-world issues. However, it is crucial to employ optimization techniques in order to obtain the ideal design as diverse fuzzy systems grow more complicated to conceive. This Reprint highlights novel modeling techniques and fuzzy optimization strategies applied to real-world problems, including sustainable green supply chain systems, relief logistics under uncertainty, and cloud-based software prediction, alongside theoretical developments in fuzzy systems.
Artificial Intelligence for Fault Detection and Diagnosis
Fault detection and diagnosis (FDD) is an important task in manufacturing and mechatronic systems for reducing costs and improving productivity. Traditionally, the states of machines and their faults are manually checked, a process which is time-consuming and expensive. Therefore, it is desirable to develop intelligent systems to achieve automatic FDD. Artificial intelligence as a concept covers a wide range of algorithms that mimic the human mind, thinking and acting like humans to solve important tasks in different fields. In recent years, many AI algorithms have been applied to FDD, including data processing, feature analysis, and classification. Typical methods include deep neural networks, long short-term memory, convolutional neural networks, random forest, and evolutionary computation. However, the potential of AI has not been comprehensively investigated in FDD. This remains a challenging task due to many factors, such as changeable equipment working states, incomplete information, a lack of sufficient training data, complex relationships between faults and symptoms, imbalanced data, and the requirement of having domain knowledge. This reprint is a collection of research regarding AI techniques applied to various FDD tasks.
