Go Lang in Depth
DESCRIPTION Go, a modern and efficient programming language, is rapidly gaining popularity for building robust and scalable applications. This book, Go Lang in Depth, instills you with the knowledge and skills to master Go, from its fundamental building blocks to advanced concepts.This Go programming book provides a detailed guide, starting from basic syntax and data structures to advanced concepts like concurrency and error handling. It teaches you how to build applications, including console apps, REST APIs, and web apps using popular frameworks like Gin and Beego. You will also explore creating real-world projects, such as a CRM system, and understand advanced topics like dependency injection, SOLID principles, and Docker containerization. The book covers performance optimization with profiling and benchmarking, ensures application security with authentication and cryptography, and explains design patterns and best practices for building scalable, secure web applications.By the end of this book, you will be equipped to write clean, concurrent, and performant Go code. You will understand how to design and implement complex functionalities, leverage Go's powerful features effectively, and tackle real-world programming challenges.KEY FEATURES ● From beginner to advanced, this book covers all aspects of Go programming.● Learn by implementing practical examples and real-world projects.WHAT YOU WILL LEARN● Practical approach with hands-on exercises, real-world examples, and practical projects.● Gain a thorough understanding of Go's core concepts, including concurrency, error handling, and testing.● Learn to containerize Go applications with Docker and deploy them to production environments.● Implement security measures and optimize the performance of your Go applications.WHO THIS BOOK IS FORWhether you are a software engineer, data scientist, or system administrator, this book will help you harness the power of Go to build efficient, scalable, and reliable applications. No prior knowledge of Go is required, but a basic understanding of programming concepts will be beneficial.
Fairness in Search Systems
Search engines play a crucial role in organizing and delivering information to billions of users worldwide. However, these systems often reflect and amplify existing societal biases and stereotypes through their search results and rankings. This concern has prompted researchers to investigate methods for measuring and reducing algorithmic bias, with the goal of developing more equitable search systems.This monograph presents a comprehensive taxonomy of fairness in search systems and surveys the current research landscape. This work systematically examines how bias manifests across key search components, including query interpretation and processing, document representation and indexing, result ranking algorithms, and system evaluation metrics. By critically analyzing the existing literature, persistent challenges and promising research directions in the pursuit of fairer search systems are identified. The aim is to provide a foundation for future work in this rapidly evolving field while highlighting opportunities to create more inclusive and equitable information retrieval technologies.
Surface Waterbody Detection from Satellite Imagery Using U-Net
"Surface Waterbody Detection from Satellite Imagery Using U-Net: A Deep Learning Framework for Automated Analysis" is a definitive guide for leveraging advanced deep learning techniques to detect and monitor surface water bodies from satellite images. This book introduces the U-Net architecture, a powerful deep learning model, to automate the analysis of satellite imagery, enabling precise detection of waterbodies across diverse terrains and conditions.With a focus on practical applications, the book provides an in-depth walkthrough of the entire process, including data preprocessing, model training, validation, and performance evaluation using real-world datasets. It addresses key challenges such as handling noisy data, low-resolution imagery, and scalability for large-scale analyses.Whether you are a researcher, data scientist, or environmental analyst, this book equips you with the tools and insights needed to tackle real-world problems in environmental monitoring, disaster management, and resource planning. With detailed code examples, practical case studies, and a look into emerging trends, it empowers you to harness the potential of AI in satellite imagery analysis.
The Digital Era in Production
This book examines the impact of the Digital Age on Industry 4.0, exploring how technologies such as AI, IoT, big data, AR/VR and advanced robotics are transforming the production sector. Industry 4.0, a fourth industrial revolution, is characterized by the digitization and interconnection of processes, improving efficiency and enabling data-driven decisions.Through an incremental approach, the book suggests strategies for implementing these technologies, emphasizing the importance of a clear plan, continuous training and an innovative organizational culture. It also addresses challenges such as resistance to change and initial investment, proposing solutions such as grants and employee training.In addition to challenges, digitalization opens up opportunities such as sustainability, product customization and access to new markets. The future, the book suggests, will be marked by a collaboration between humans and technology, where both are empowered, positioning Industry 4.0 as an opportunity to drive organizational and societal progress.
Engineering AI Excellence
Engineering AI Excellence: A Practical Guide to Building and Deploying Resilient, Efficient, and Ethical AI SystemsThe field of AI is evolving at an electrifying pace. Keeping up with the latest tools and techniques can feel like a constant uphill battle. "Engineering AI Excellence" cuts through the noise and provides a clear, concise roadmap for building and deploying AI systems that are not just functional, but truly exceptional.This book goes beyond the basics of AI development, delving into the critical aspects of building real-world AI solutions that are robust, scalable, and responsible. Inside, you'll discover how to: Optimize GPU Resources: Maximize the performance of your hardware and train models faster without breaking the bank. Learn advanced techniques for efficient memory management, workload scheduling, and performance profiling.Orchestrate AI with Kubernetes: Harness the power of Kubernetes to manage complex AI workloads, scaling your infrastructure effortlessly as your project grows. Master containerization, deployment strategies, and resource allocation for optimal efficiency.Deploy Privacy-Preserving AI with Federated Learning: Safeguard sensitive data while training high-performing models. Explore the principles and practical applications of federated learning, enabling collaborative AI development without compromising privacy.Embrace Serverless GPUs for Cost-Effective Inference: Reduce inference costs and scale on demand with serverless computing. Discover how to leverage serverless GPUs for efficient and economical AI deployment.Compress Models for Speed and Efficiency: Employ powerful model compression techniques like quantization and pruning to shrink your models without sacrificing accuracy. Deploy lightweight AI solutions that are faster, more efficient, and require less computational power.Automate Your AI Pipeline with Infrastructure as Code: Treat your AI infrastructure as code using tools like Terraform. Automate deployments, manage configurations, and ensure reproducibility across your entire AI pipeline.Ensure AI Observability: Gain deep insights into the health and performance of your AI systems with comprehensive monitoring and debugging techniques. Identify and address potential issues proactively, maintaining optimal performance and reliability.Mitigate Bias in AI: Understand the sources of bias in AI models and implement practical strategies for mitigation. Build fair and equitable AI systems that avoid perpetuating harmful stereotypes and discriminatory practices.Optimize AI Performance with A/B Testing: Leverage the power of A/B testing to experiment with different model versions and configurations. Identify the best-performing approaches through rigorous data-driven analysis.Build Resilient AI Systems with Chaos Engineering: Embrace chaos engineering principles to stress-test your AI systems, uncovering vulnerabilities and ensuring robustness in the face of unexpected disruptions."Engineering AI Excellence" is an indispensable resource for AI engineers, data scientists, and machine learning practitioners at all levels. Whether you're building cutting-edge AI models or deploying them in production environments, this book provides the practical guidance and advanced techniques you need to excel.
Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health
The Internet of Things (IoT) is becoming increasingly popular in the healthcare domain due to the possibilities offered to monitor patients' health status remotely in real time. Moreover, the integration of IoT with edge intelligence solutions has started to bring further advantages in its use; in fact, by allowing the devices to locally process and analyze the data, it can make a difference in applications where real-time decision-making or low latency is required. By collecting and analyzing data from multiple sources, these solutions can provide a more complete picture of an individual's health and allow for more personalized and proactive healthcare.This Special Issue aimed at presenting interesting papers focused on the exploitation of the IoT and edge intelligence in the healthcare domain. The included papers cover various topics, such as innovative healthcare architectures to improve patients' conditions; innovations for personalized healthcare; solutions based on real-time decision-making for the healthcare domain; edge intelligent solutions for the early detection of potential health issues; solutions to improve communication and coordination among healthcare professionals in critical scenarios; and innovative healthcare systems for providing prompt reactions and interventions in cases of emergency.
Robust Query Processing
The primary function of a database system is to efficiently compute correct answers to user queries. Therefore, robust query processing (RQP), where strong numerical guarantees are provided on query performance, has been a long-standing core objective in the design of industrial-strength database engines. Unfortunately, however, RQP has proved to be a largely intractable and elusive challenge, despite sustained efforts spanning several decades. In this monograph, a holistic coverage of the RQP innovations is provided, and strengths and limitations are highlighted. Further, open technical problems that remain to be solved to make RQP a contemporary reality are also enumerated.In this monograph, representative techniques along these various dimensions are covered. After the introduction, a background to RQP is given. In the chapters thereafter, the authors cover Robust Operators, Plans, and Execution, and then Structural Bounds, Cost Models and Machine Learning Techniques are surveyed. The monograph concludes with a chapter on Holistic Robustness, and Future Directions.The target audience for this monograph includes researchers, developers and students with an interest in the internals of database engines.
Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector.Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.
Emerging Technologies, Novel Crimes, and Security
This book provides a holistic overview of the complexities of modern technological advances and their implications for crime and security. It examines the societal dilemmas that accompany these technologies, their strategic impact on geopolitics, governments, business, and civil society.The increasingly interconnected world gives rise to novel crimes and creates a new, complex set of threats. Understanding this landscape is essential to strategizing for the prevention, protection, mitigation, and risk assessment of technology-related crime.Practical and approachable, this book builds knowledge and awareness of the impact of emerging technologies on crime and security among professionals, students, academicians, researchers, and policymakers.
Study of the impact of DDoS attacks on 4G/LTE mobile networks
4G/LTE mobile networks are essential pillars of modern digital infrastructures, offering speed and reliability. However, these networks are facing increasing threats, notably distributed denial of service (DDoS) attacks, which compromise their availability and performance.In this book, Abdoul Aziz Belemvire explores in detail the impact of these attacks on 4G/LTE mobile networks, and proposes innovative solutions to strengthen their resilience. Drawing on real data from the CIC-DDoS2019 dataset, he analyzes specific network vulnerabilities, assesses the effectiveness of traditional and modern techniques, and highlights the use of machine learning and deep learning to detect and mitigate these attacks.This book is a valuable resource for cybersecurity professionals, researchers and students, offering concrete perspectives for anticipating and countering future threats. It combines scientific rigor and pragmatism, paving the way for more robust network infrastructures in a hyperconnected world.
Performance Analysis of Association Rule Mining Algorithms
Association rule mining techniques are important part of data mining to derive relationship between attributes of large databases. Association related rule mining have evolved huge interest among researchers as many challenging problems can be solved using them. Numerous algorithms have been discovered for deriving association rules effectively. It has been evaluated that not all algorithms can give similar results in all scenarios, so decoding these merits becomes important. In thisassociation rule mining algorithms were analyzed, Comparison of these algorithms were experimentally performed based on different datasets and different parameters.
Adventure
The sprawl of Adventure. The addictiveness of Breakout. The intensity of Space Invaders.Once upon a time, you could only experience this kind of excitement at the arcade. But in 1977 that changed forever. You, and maybe a friend or a sibling, could instantly teleport from your own living room to a dazzling new world-with nothing more than a small plastic cartridge.This was the promise of the Atari 2600-and it was delivered in ways no one ever expected. No, the games it put on your TV weren't what you saw when you plunked in your quarters at the convenience store or in the noisy, smoky business on the other side of town. But they brought the arcade home-and it hasn't left since.With Adventure: The Atari 2600 at the Dawn of Console Gaming, Jamie Lendino takes you to the front lines of the home gaming revolution, exploring the history of the world-changing console and delves into the coin-op ports and original titles that still influence gaming today.Before your next trip to a magical universe with your Xbox, PlayStation, or Nintendo console, see how the home gaming industry truly began.This fully revised second edition contains three new chapters, including an expanded treatment of the "red label" era, one on collecting, emulation, mods, add-ons, and reviews of some of the best homebrew games created in recent years.
Maximizing Entropy with an Expectation Constraint and One-Parameter Exponential Families of Distributions
The usual answer to the question "What probability distribution maximizes entropy or differential entropy of a random variable X subject to the constraint that the expected value of a real-valued function g applied to X has a specified value 繕?" is an exponential distribution (probability mass or probability density function), with g(x) in the exponent multiplied by a parameter λ, and with the parameter chosen so the exponential distribution causes the expected value of g(X) to equal 繕. The latter is called moment matching. While it is well-known that, when there are multiple expected value constraints, there are functions and expected value specifications for which moment matching is not possible, it is not well-known that this can happen when there is a single expected value constraint and a single parameter. This motivates the present monograph, whose goal is to reexamine the question posed above, and to derive its answer in an accessible, self-contained and complete fashion. It also derives the maximum entropy/differential entropy when there is a constraint on the support of the probability distributions, when there is only a bound on expected value and when there is a variance constraint. Properties of the resulting maximum entropy/differential entropy as a function of 繕 are derived, such as its convexity and its monotonicities. Example functions are presented, including many for which moment matching is possible for all relevant values of 繕, and some for which it is not. Indeed, there can be only subtle differences between the two kinds of functions. As one-parameter exponential probability distributions play a dominant role, one section provides a self-contained discussion and derivation of their properties, such as the finiteness and continuity of the exponential normalizing constant (sometimes called the partition function) as λ varies, the finiteness, continuity, monotonicity and limits of the expected value of g(X) under the exponential distribution as λ varies, and similar issues for entropy and differential entropy. Most of these are needed in deriving the maximum entropy/differential entropy or the properties of the resulting function of 繕. Aside from addressing the question posed initially, this monograph can be viewed as a warmup for discussions of maximizing entropy/differential entropy with multiple expected value constraints and of multiparameter exponential families. It also provides a small taste of information geometry.
Learning Theory from First Principles
A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory. Research has exploded in the field of machine learning resulting in complex mathematical arguments that are hard to grasp for new comers. . In this accessible textbook, Francis Bach presents the foundations and latest advances of learning theory for graduate students as well as researchers who want to acquire a basic mathematical understanding of the most widely used machine learning architectures. Taking the position that learning theory does not exist outside of algorithms that can be run in practice, this book focuses on the theoretical analysis of learning algorithms as it relates to their practical performance. Bach provides the simplest formulations that can be derived from first principles, constructing mathematically rigorous results and proofs without overwhelming students. Provides a balanced and unified treatment of most prevalent machine learning methods Emphasizes practical application and features only commonly used algorithmic frameworks Covers modern topics not found in existing texts, such as overparameterized models and structured prediction Integrates coverage of statistical theory, optimization theory, and approximation theoryFocuses on adaptivity, allowing distinctions between various learning techniquesHands-on experiments, illustrative examples, and accompanying code link theoretical guarantees to practical behaviors
The Physical Nature of Information
A unified introduction to information theory for scientists Applications of information theory span a broad range of disciplines today. This book presents a unified treatment of the subject for students and practitioners in the sciences. It teaches the tools universally used by physicists working on quantum computers and black holes, engineers designing self-driving cars, traders perfecting market strategies, chemists playing with molecules, biologists studying cells and living beings, linguists analyzing languages, and neuroscientists figuring out how the brain works. No matter what area of science you specialize in, The Physical Nature of Information unlocks the power of information theory to test the limits imposed by uncertainty.Provides a panoramic approach to information theoryDraws on examples from physics, engineering, biology, economics, and linguisticsApplications range from thermodynamics and statistical mechanics to dynamical chaos, information and communication theories, and quantum informationIncludes materials for lectures and tutorials along with exercises with detailed solutionsCan be used to design a one-semester introductory courseIdeal for self-study by graduate students and advanced undergraduatesInvaluable for scholars seeking new research opportunities
Data Science and Reliable Machine Learning
In October 2024, researchers, students, and practitioners from Armenia, Chile, Germany, and Japan met at the American University of Armenia for the fourth edition of the Cadassca Workshop on Collaborative Technologies and Data Science in Smart City Applications. This book presents their contributions to emerging methodologies in data science, machine learning, applied and human-centered computing.
Short-Term Load Forecasting Using Machine Learning Methods
Maintaining the balance between generation and consumption is at the heart of electricity grid operation. A disruption to this balance can lead to grid overloads, outages, system damage, rising electricity costs or wasted electricity. For this reason, accurate forecasting of load behavior is crucial. In this work, two classes of ML-based algorithms were used for load forecasting: the Hidden Markov Models (HMMs) and the Deep Neural Networks (DNNs), both of which provide stable and more accurate results than the considered benchmark methods. HMMs could be successfully used as a stand-alone predictor with a training based on Maximum Likelihood Estimation (MLE) in combination with a clustering of the training data and an optimized Viterbi algorithm, which are the main differences to other HMM-related load forecasting approaches in the literature. Adaptive online training was developed for DNNs to minimize training times and create forecasting models that can be deployed faster and updated as often as necessary to account for the increasing dynamics in power grids related to the growing share of installed renewables. In addition, the flexible and powerful encoder-decoder architecture was used, which helped to minimize the forecast error compared to simpler DNN architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs) and others.
The Future of Creativity
Artificial intelligence is revolutionizing creativity, unlocking unprecedented opportunities for artists, designers, musicians, and filmmakers. In Future of Creativity, Sanem Avcil, a visionary entrepreneur and global AR/VR leader, delves into the ways AI is reshaping creative industries. Discover transformative projects like: Emotionally Personalized Music that reflects unique moods. AI-Powered Storytelling that personalizes narratives. Dynamic AI Art Creations responding to emotions and environments. This book provides practical ideas, inspiring examples, and essential strategies for anyone ready to explore the limitless possibilities of AI. Whether you're an artist seeking tools to enhance your craft, a tech innovator, or a curious reader, Future of Creativity is your guide to thriving in this new era.
JavaScript for Kids
Welcome to the book "JavaScript for Kids: Start your Coding Adventure". This book is your introduction to the world of JavaScript. It's your first step towards developing websites and mobile applications. With JavaScript, you can turn your ideas into reality. Learning should be fun, so you will feel like you are reading a story. By the end of this book, you will have a good understanding of JavaScript. You will have taken the first steps in your modern web programming adventure. Have fun programming!
High Performance Computing
Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products. This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA.
Codes for Adversaries
Over the last 70 years, information theory and coding have enabled communication technologies that have had an astounding impact on our lives. This is possible due to the match between encoding/decoding strategies and corresponding channel models. Traditional studies of channels have taken one of two extremes: Shannon-theoretic models are inherently average-case in which channel noise is governed by a memoryless stochastic process, whereas coding-theoretic (referred to as "Hamming") models take a worst-case, adversarial, view of the noise. However, for several existing and emerging communication systems, the Shannon/average-case view may be too optimistic, whereas the Hamming/worst-case view may be too pessimistic. This monograph takes up the challenge of studying adversarial channel models that lie between the Shannon and Hamming extremes.
Information Systems and Technological Advances for Sustainable Development
Monetize Cloud & AI
This book delves into the commercialization methodology and practice of cloud computing and artificial intelligence products. With a primary focus on how to effectively commercialize them, introduce them to the market for efficient sales, and achieve efficient internal management to attain commercial success. In response to the distinctive characteristics of high-tech products like cloud service and artificial intelligence, this book comprehensively covers the efficient implementation methods of product management, customer management, order management, billing management, sales management, and partner management. It elaborates on the business strategies and approaches necessary in the commercialization journey and elucidates how to utilize software's systems and artificial intelligence to realize digital technology product business operations. Specifically, it explores how to leverage advanced technologies to optimize product design, enhance customer experience, streamline order processing, ensure accurate billing, boost sales performance, provide exceptional service and establish successful partnerships. By integrating these elements, the book provides a comprehensive roadmap for businesses to navigate the complex landscape of high-tech product commercialization and achieve sustainable growth in the digital age.
Monetize Cloud & AI
This book delves into the commercialization methodology and practice of cloud computing and artificial intelligence products. With a primary focus on how to effectively commercialize them, introduce them to the market for efficient sales, and achieve efficient internal management to attain commercial success. In response to the distinctive characteristics of high-tech products like cloud service and artificial intelligence, this book comprehensively covers the efficient implementation methods of product management, customer management, order management, billing management, sales management, and partner management. It elaborates on the business strategies and approaches necessary in the commercialization journey and elucidates how to utilize software's systems and artificial intelligence to realize digital technology product business operations. Specifically, it explores how to leverage advanced technologies to optimize product design, enhance customer experience, streamline order processing, ensure accurate billing, boost sales performance, provide exceptional service and establish successful partnerships. By integrating these elements, the book provides a comprehensive roadmap for businesses to navigate the complex landscape of high-tech product commercialization and achieve sustainable growth in the digital age.
Alternative Investments Technology
The alternative investments technology market is still considered young and highly diverse, driving varied technology needs. Few players can address the needs of the entire market, while new specialized providers continue to emerge, making choices even more complex. Investors now demand more rigorous due diligence, greater access to senior management, and more detailed, frequent data reports before committing to funds. In response, firms must be agile, ready to reassess, and revamp their operations and practices.Alternative Investments Technology: Bridging the Gap is tailored for investment professionals, managers, and technologists navigating this evolving landscape. It explores how technology enhances management and investment processes, helping firms maintain competitive advantage and operational efficiency. The book provides insights into leveraging technology for better decision-making, improved efficiency, and enhanced investor outcomes. As technology integration in alternative investments evolves, staying informed is essential. This book serves as an indispensable guide to thriving in this dynamic environment.
Maths for Computing
This introductory textbook covers all the mathematical concepts necessary for a computing degree, limiting coverage only to the material needed for the fundamentals of computing rather than delving into the higher mathematical concepts. Key features include: Gears content toward students who are less confident in mathematics Provides exercises, with solutions, at the end of each chapter Teaches topics using everyday language Includes numerous worked examples in every chapter Uses familiar scenarios to introduce mathematical concepts Discusses the relevance of each chapter topic to the world of computing Core topics covered include: Set and groups Matrices Relations and functions Logic and proofs Combinatorics Probability Graph theory The book is written for students embarking on an undergraduate or foundation degree course in computer science (or related discipline) and aims to provide the basic skills and knowledge of discrete mathematics required for such a course. Whereas many textbooks tend to teach this subject in a way that is more suitable for mathematicians, this text specifically targets first-year students on computing courses and aims to teach only the basic material that they will need for their computing degree. Dr Quentin Charatan is a former Principal Lecturer and now visiting lecturer at the University of East London, UK. Dr Aaron Kans is the Head of the Computer Science and Digital Technologies Department in the School of Architecture, Computing & Engineering at the same institution.
Advanced Numerical and Computational Methods for Engineering and Applied Mathematical Problems
This reprinted special issue contains all of the articles published in the Special Issue "Advanced Numerical and Computational Methods for Engineering and Applied Mathematical Problems" from the MDPI Mathematics journal. This Special Issue provides a forum for researchers and practitioners to examine topics pertaining to meshfree/particle methods and advanced numerical methods in the domains of engineering and scientific computation. The aim of this Special Issue is to disseminate state-of-the-art fundamental developments for these advanced numerical methods, prospective research directions, and applications for engineering and applied mathematical problems. It is our hope that this Special Issue will make a substantial contribution to research on the theoretical and applied aspects of advanced numerical methods.
Information technologies for video object recognition
The monograph is devoted to developing methods and means of using AI to rapidly identify moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of AI, convolutional neural networks, computer vision and pattern recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, we will determine the type of the recognized object and will have quantitative accuracy estimates. A method for applying templates has been implemented. The algorithm has information about what the required object looks like, what kind of background it may have, how specific contours of the object look and what positions they may be. It immediately considers a possible location of the object's detection. It allows you to achieve high recognition quality and has good performance. However, when the video camera captures several similar objects, different patterns are satisfied, and recognition decreases. A family of models (artificial neural networks) are used to estimate or approximate functions that may depend on many inputs and are usually unknown.
Skyline-based models for Web Services Selection
With the proliferation of service-oriented architectures (SOA), the number of Web services has increased dramatically, making it difficult for users to select a relevant service. The Skyline paradigm, which helps select Web services based on Quality of Service (QoS) data, has become popular by presenting only non-dominated services. However, this approach has limitations, such as producing incomparable results, giving equal weight to all QoS criteria, and being unable to control the size of the results.This book proposes several approaches to overcome these challenges. The first, SkyAP-S3, combines multi-criteria methods (MCDM) such as Skyline, AHP to weight criteria, and PROMETHEE to integrate user preferences. The second, SEFAP, enhances SkyAP-S3 by handling uncertainty in user judgments, using entropy and Fuzzy AHP. Finally, an advanced version of Fuzzy AHP is proposed to automate the comparison of criteria and services via a discretization algorithm. Experiments have demonstrated the effectiveness of these approaches.
Formal Methods and Software Engineering
This volume LNCS 15394 constitutes the refereed proceedings of 25th International Conference on Formal Engineering Methods, ICFEM 2024, in Hiroshima, Japan, in December 2024. The 22 full papers presented were carefully reviewed and selected from 50 submissions. The conference focuses on wide range of research areas, covering both theoretical foundations and practical applications of formal engineering methods
Alternative Investments Technology
The alternative investments technology market is still considered young and highly diverse, driving varied technology needs. Few players can address the needs of the entire market, while new specialized providers continue to emerge, making choices even more complex. Investors now demand more rigorous due diligence, greater access to senior management, and more detailed, frequent data reports before committing to funds. In response, firms must be agile, ready to reassess, and revamp their operations and practices.Alternative Investments Technology: Bridging the Gap is tailored for investment professionals, managers, and technologists navigating this evolving landscape. It explores how technology enhances management and investment processes, helping firms maintain competitive advantage and operational efficiency. The book provides insights into leveraging technology for better decision-making, improved efficiency, and enhanced investor outcomes. As technology integration in alternative investments evolves, staying informed is essential. This book serves as an indispensable guide to thriving in this dynamic environment.
Quality Metrics
The software development has been projected its creation by means of established requirements, therefore the main idea that leads to the resolution of these requirements should not be distorted, for it is necessary to follow the norms that have been created in order to obtain the best results, these norms are implemented by the ISO/IEC, in the development of the present book the norms ISO/IEC 9126, 14598, 25000 are considered.
From Health to Code
Through the captivating pages of this book, immerse yourself in the dynamic world of digital innovation in Africa. Follow the inspiring journey of Kafui K. AKOLLY, a passionate young innovator, from the genesis of a bold idea to the realization of a revolutionary application in the field of sexual and reproductive health. The author shares in-depth reflections on the personal and professional evolution resulting from this unique experience. Powerful messages about perseverance, collaboration, and the need for digital security resonate through every page, offering valuable lessons for budding entrepreneurs and innovators. In conclusion, this book is not only a chronicle of digital successes, but also a personal exploration of growth, adaptability, and the transformative power of innovation. Celebrate every victory, learn from every challenge, and be inspired to boldly shape your own digital future.
Microsoft OneDrive Guide to Success
EXCLUSIVE EXTRA CONTENTS AVAILABLE THROUGH SCANNING A QR CODE IN THE PAPERBACK VERSION: PRINTABLE SHEET: Keep the shortcuts close to your computer so you can save precious minutes.VIDEO MASTERCLASS: Access expert-guided tutorials on Microsoft Excel and discover valuable tips and tricks.MOBILE APP ON THE GO: Gain instant access to a world of resources and tips right from your smartphone. Feeling Overwhelmed by Cloud Storage Complexity?Dreaming of Effortlessly Managing Your Files in the Cloud?Do you find yourself tangled in the web of file management, only inches away from unlocking the full potential of Microsoft OneDrive?If you answer "Yes" to any of these questions, then continue reading to discover the key to elevating your Microsoft OneDrive capabilities.I recognize the challenges and confusion that come with mastering cloud storage solutions that don't immediately seem user-friendly. With over twenty years of experience in the digital workspace, I've condensed my knowledge into this guide, aiming to turn your challenges into opportunities. This book serves as your lighthouse in the storm of digital file management, steering you from bewilderment to proficiency, ensuring Microsoft OneDrive becomes an indispensable tool in your productivity toolkit.Unlock the secrets of Microsoft OneDrive, crafted not just to educate but to transform. Witness a change not only in your technical abilities but in a renewed sense of confidence that uplifts all aspects of your professional life.Enhance Your Cloud Storage & OneDrive Skills: MORE THAN A MANUAL: Gain unparalleled understanding with compassionate teaching, intuitive walkthroughs, and hands-on tutorials that engage both your mind and heart.A GUIDE FOR EVERY LEVEL: Whether you're exploring OneDrive for the first time or refining your skills, this book supports your journey from the basics to advanced techniques.RECLAIM YOUR TIME & PEACE: Bid farewell to hours of frustration. Embrace strategies that save time, reduce anxiety, and inject pleasure into managing your digital files.Lift Your Potential & Insights: TAKE CONTROL OF YOUR FILES: Move beyond the clutter of disorganized storage. Transform complex storage setups into streamlined, impactful systems.DRIVE MEANINGFUL COLLABORATION: It's not just about storing; it's about synergizing. Cultivate a storage strategy that facilitates engagement, enlightenment, and empowerment.UNCOVER THE FULL CAPACITY OF ONEDRIVE: Explore hidden gems and powerful functionalities. Delight in the thrill of mastering even the most sophisticated features.CONNECT & THRIVE: Escape the solitude of disconnected work. Harness collaborative features, share insights, and build stronger bonds within your team or organization.EMBARK ON A TRANSFORMATIONAL JOURNEY: It's more than mastering a platform; it's about personal growth. Become a beacon of efficiency, confidence, and creativity in your workplace.Are you ready to not just learn, but to transform? To not just manage, but to master your digital storage?Dive into your Microsoft OneDrive adventure, where every page turns you closer to your professional rebirth. Click the "Buy Now" button and start your journey to becoming a Microsoft OneDrive master!
Moving towards 6G Wireless Technologies
Fifth-generation (5G) wireless networks have been a key enabler for societal information over the last few years. Now, sixth-generation (6G) wireless networks are under development, and the research community is preparing for the intelligent information societies of 2030 and beyond, targeting even more ambitious performance targets, such as peak data rates from 1 Tb/s, enhanced spectrum and energy efficiency, and extremely low latency communications. This Special Issue of Future Internet titled "Moving towards 6G Wireless Technologies" focuses on the design, development, testing, and evaluation of 6G-enabling solutions to meet these ambitious goals. We have published a total of ten papers covering a range of topics including, but not limited to, IoT applications, vehicular networks, 6G-Enabled Internet of Verticals (6G-IoV), and spectrum sharing.
Too Much Fun
The surprising history of the Commodore 64, the best-selling home computer of the 1980s--the machine that taught the world that computing should be fun. The Commodore 64 (C64) is officially the best-selling desktop computer model of all time, according to The Guinness Book of World Records. It was also, from 1985 to 1993, the platform for which most video games were made. But while it sold at least twice as many units as other home computers of its time, like the Apple II, ZX Spectrum, or Commodore Amiga, it is strangely forgotten in many computer histories. In Too Much Fun, Jesper Juul argues that the C64 was so popular because it was so versatile, a machine developers and users would reinvent again and again over the course of 40 years. First it was a serious computer, next a game computer, then a computer for technical brilliance (graphical demos using the machine in seemingly impossible ways), then a struggling competitor, and finally a retro device whose limitations are now charming. The C64, Juul shows, has been ignored by history because it was too much fun. Richly illustrated in full color, this book is the first in-depth examination of the C64's design and history, and the first to integrate US and European histories. With interviews of Commodore engineers and with its insightful look at C64 games, music, and software, from Summer Games to International Karate to Simons' BASIC, Too Much Fun will appeal to those who used a Commodore 64, those interested in the history of computing and video games and computational literacy, or just those who wish their technological devices would last longer.
Theoretical Aspects of Computing - Ictac 2024
This book constitutes the refereed proceedings of the 21st International Colloquium on Theoretical Aspects of Computing, ICTAC 2024, held in Bangkok, Thailand, during November 25-29, 2024. The 21 full papers presented here were carefully reviewed and selected from 46 submissions. They were categorized into the following topical sections: Invited Papers; Automata, Languages, and Learning; Algorithms and Complexity; Graphs and Games; Process Calculi; Verification and Reasoning.
Advances in Computational Intelligence in Geotechnical and Geological Engineering
This is a groundbreaking reprint that explores the cutting-edge applications of computational intelligence (CI) in geotechnical and geological engineering. This comprehensive volume draws from the latest research and developments in the field, presenting innovative solutions to complex real-world problems using artificial neural networks, fuzzy logic, evolutionary algorithms, and other CI techniques. The reprint covers a wide range of topics, including soil mechanics, rock mechanics, and foundation engineering. It features in-depth case studies that demonstrate the practical applications of CI in solving challenging geotechnical issues, as well as explores the hybrid CI models that combine multiple techniques for enhanced performance. The reprint also delves into the integration of CI-based, risk-based, and reliability-based techniques with basic theories and concepts in geotechnics and geomechanics. By bridging the gap between traditional geotechnical engineering practices and advanced CI techniques, this reprint paves the way for more efficient, accurate, and innovative solutions in geotechnical engineering. The reprint not only presents the current state-of-the-art CI applications for geotechnical engineering but also provides insights into the future directions and potential advancements. It explores how CI can be applied to the various aspects of geotechnical engineering. This comprehensive approach makes it an essential read for anyone interested in the intersection of CI and geotechnical engineering, offering a broad perspective on the potential of CI to revolutionize the field.
Angular Portfolio App Development
In this book you'll learn how to create an online portfolio application with Angular. Building a personal brand is important for your online growth and career. In this book, you'll learn how to create an online portfolio application to showcase your talent to the world and impress your potential employers. We start from scratch and build everything together. By the end of this book, you'll be confident working with Angular and creating an elegant and impressive portfolio to showcase yourself online.
Angular Portfolio App Development
In this book you'll learn how to create an online portfolio application with Angular. Building a personal brand is important for your online growth and career. In this book, you'll learn how to create an online portfolio application to showcase your talent to the world and impress your potential employers. We start from scratch and build everything together. By the end of this book, you'll be confident working with Angular and creating an elegant and impressive portfolio to showcase yourself online.
PHP and MySQL
Dive into web development with this comprehensive guide to PHP 8! Whether you're a beginner or an experienced developer, you'll find everything you need to build dynamic, secure websites. Walk through installing PHP, object-oriented programming, and working with databases like MySQL. Gain hands-on experience with detailed code and application examples to. Master advanced topics like debugging, automated testing, security, and more!Highlights include: 1) Installation2) Strings, arrays, and regular expressions3) Mathematical and date functions4) Web techniques5) Databases6) Object-oriented programming7) Namespaces8) Design patterns9) XML, graphics, and PDFs10) Administration and security11) Debugging12) Automated testing
Getting Started with JavaScript
New to programming and JavaScript? Look no further! With this beginner's guide, learn the language ABCs and start developing applications. Walk through the programming basics: branches, functions, methods, objects, and more. Then create forms and events; use the Document Object Model (DOM); and work with large data sets, processing strings, mathematics, time, and other data structures. Design your web and mobile applications using tools like Ajax, CSS, jQuery, and Onsen UI. Follow code examples and expert tips, and you'll be developing in no time!In this book, you'll learn about: a. Language Basics Master the building blocks of JavaScript programming. From performing calculations to finding and avoiding errors, you'll learn the essential skills you need for web application development. b. JavaScript in Practice Start developing with JavaScript! Learn how to work with standard and custom objects, forms and events, and the DOM. Design with CSS, add 2D and 3D graphics with SVG and Three.js, simplify your tasks with jQuery, and much more!c. Example ExercisesReinforce your knowledge with programming exercises. For each core concept, follow along with code examples that are available for download. Get insight into professional development with JavaScript through sample projects! Highlights include: 1) Programming basics2) Web application development3) Forms and events4) Document Object Model (DOM)5) Ajax6) XML and JSON7) CSS and HTML properties8) Graphics and animations9) jQuery10) Mobile apps with Onsen UI11) Media files12) Example projects
Recent Advances in Computing Sciences
The 2nd International Conference on Recent Advances in Computing Sciences (RACS) was held from 29th to 30th November 2022 at Lovely Professional University, Jalandhar, India. The conference focused on discussing issues, exchanging ideas, and the most recent innovations towards advancing research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber-Security, Computational Sciences, Simulation and modeling, Business Analytics, and Machine Learning.
Application Development with SAP Analytics Cloud
Ready to make the most of your SAP Analytics Cloud applications? Learn to develop, deploy, and monitor custom analytical applications with this practical scripting guide! Follow step-by-step instructions and programming examples for each stage of development. Customize your dashboards and applications with widgets and APIs, and then adapt them to the needs of your users, whether you're developing planning or business intelligence applications. This is your complete handbook to scripting in SAP Analytics Cloud!Highlights include: 1) Architecture2) Data modeling and connectivity3) Development environment4) Scripts and wizards5) BI applications6) Planning applications7) Dashboards8) Predictive analytics9) Standard and custom widgets10) APIs 11) Stories12) JavaScript
Quality Management with SAP S/4hana
Put quality first with QM in SAP S/4HANA! Connect quality management to materials management, production planning, warehouse management, and other logistics processes in SAP S/4HANA. Follow step-by-step instructions to both configure and use key QM processes like batch management, audits, stability studies, engineering change management, and more. Ensure confidence in your product's quality by implementing quality plans, inspections, notifications, and document management in SAP S/4HANA!Highlights Include: 1) Master data 2) Integration with logistics3) Quality inspection4) Batch management5) Sample management6) Quality certifications7) Quality notifications8) Quality planning9) Stability studies10) Failure mode and effects analytics (FMEA)11) Document management12) Reporting
Principles of Verification: Cycling the Probabilistic Landscape
This Festschrift is dedicated to Joost-Pieter Katoen in recognition of his outstanding research, teaching, and organizational successes. Joost-Pieter received his Master's and later his Ph.D. from the University of Twente, and his Professional Doctorate in Engineering from Eindhoven University of Technology. He had research positions at the University of Erlangen-Nuremberg and Philips Research, and visiting professorships in France, Australia, and the UK. Since 2004 he has been a professor at RWTH Aachen University and is part-time associated with the University of Twente. Joost-Pieter's main areas of research are formal methods, computer-aided verification, concurrency theory, probabilistic computation, and semantics. Among many recognitions for this work, he is an ACM Fellow; he was elected as a member of the Academia Europaea, the Royal Holland Society of Science and Humanities, the North Rhine-Westphalian Academy of Science, Humanities and the Arts, and the Leopoldina, the German National Academy of Sciences; he received an honorary doctorate from Aalborg University. He was awarded an ERC Advanced Grant; he has won best paper, distinguished paper, or test-of-time awards at key conferences such as ETAPS, IEEE SRDS, POPL, CONCUR, and LOPSTR; and he has given keynotes at dozens of major events. He has chaired the Steering Committee of the European Joint Conferences on Theory and Practice of Software (ETAPS) and the TACAS conference; he has been Program Chair, General Chair, or Program Committee member of hundreds of major conferences and workshops, and a board member of key journals; he has served on research boards (such as the EPSRC), doctoral committees, school and university committees, and IFIP working groups; and he coauthored Principles of Model Checking, a highly influential textbook. Throughout his career Joost-Pieter has been a remarkably successful teacher and mentor, supervising students and hosting postdoctoral researchers, many of whom have won awards for their research and advanced to senior positions, and he has collaborated in research and publications with a wide range of scientists. These successes are reflected in the papers contributed to this volume.
