Puzzles and Games
This book is a comprehensive guide to mathematical modeling. It uses about 100 puzzles as "case studies" and represents them as mathematical models. The models are coded in the computer language LPL and can be solved directly over the Internet. Game-lovers will discover new and original aspects of their favorite pastime and teachers in Mathematics will be amazed how playful and diverting mathematical modelling can be. The goal is to encourage the use of such puzzles in an educational context in order to improve and develop mathematical modelling skills. It can be used as a self-study or in classes.
Cultivation Management via Heavenly Block Chain
Land is an asset, and transferring the ownership of a piece of property from one party to another is both a significant and time-consuming procedure. Not only there's a lot of documentation, but there are also numerous middlemen and several verifications at various stages of the process. This reduces the overall reliability of the procedure and increases the risks of forgery. It also takes a lot of work to learn about earlier transfers. This issue is readily solved by using blockchain for the land registration system. By eliminating agents from the process, this will reduce corruption. It will also boost speed and build trust in the system without any involvement of any central agency. Blockchain is a decentralized, unalterable database that tracks every valid transaction. To maintain the chain of transactions, it employs cryptographic methods, consensus procedures, and hashing algorithms. This maintains the system's transparency and immutability. The goal of this project is to develop a user-friendly, blockchain-based land registration system that will make the procedure easier while maintaining security and trust.
Algorithmics of Wireless Networks
This book constitutes the refereed proceedings of the 20th International Symposium on Algorithmics of Wireless Networks, ALGOWIN 2024, held in Egham, UK, in September 2024. The 14 full papers presented here were carefully reviewed and selected from 26 submissions. These papers focus on the Algorithmic aspects of Wireless networks, including the design and analysis of Algorithms, Models of computation and Experimental analysis, involved in various types of computational entities.
Machine Learning Unveiled
**Machine Learning Unveiled: A Beginner's Guide** Discover the world of machine learning with **Machine Learning Unveiled**, an accessible and engaging introduction to one of the most transformative fields of modern technology. Whether you're a student, professional, or curious enthusiast, this guide simplifies complex concepts, making it easier than ever to grasp the fundamentals of machine learning. Inside, you'll explore: Core Concepts: Understand the foundations of supervised, unsupervised, and reinforcement learning. Practical Applications: Learn how machine learning is shaping industries from healthcare to finance. Hands-On Learning: Dive into real-world examples and intuitive explanations that demystify algorithms and techniques.Written in a clear and approachable style, this book is designed to empower readers with little to no prior knowledge. Begin your journey into the fascinating world of machine learning today and discover the tools that are redefining our future! **Start learning. Start unveiling. Start transforming.**
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.
Oracle Cloud Infrastructure (OCI) Security Handbook
DESCRIPTION Oracle Cloud Infrastructure (OCI) Security Handbook is the ultimate guide for safeguarding your mission-critical resources and data on OCI. In the world of a cloud-first approach, it is essential to understand the security risks and how to protect the sensitive data and resources in the cloud using different tools and technologies. The book covers all the aspects of security, considering all the layers of the Oracle Cloud. This book is a detailed guide to securing OCI environments, focusing on best practices and practical strategies. It covers key security areas like identity and access management (IAM) with role-based controls, multi-factor authentication, and identity federation. Network security is addressed through Virtual Cloud Networks (VCNs), firewalls, and load balancers. Compute, storage, and database security topics include encryption, SQL injection prevention, and advanced database protection tools. The book also explores web and API security, vulnerability scanning, monitoring, compliance, and automation using tools like Terraform. By the end of this journey, you will be well-equipped to confidently secure your OCI environment. This invaluable resource helps you become highly skilled in OCI Security, safeguarding your valuable cloud assets for years to come.KEY FEATURES ● Gain a clear understanding of OCI architecture, tools, and technologies.● Learn to implement robust security controls to protect cloud applications and resources from attacks.● Explore monitoring tools to detect, respond to incidents, and enhance security posture.WHAT YOU WILL LEARN● Learn to secure mission-critical data and resources effectively.● Explore extensively all security layers of OCI for robust protection.● Implement best practices for monitoring threats and detecting vulnerabilities.● Master OCI tools and strategies for risk mitigation and incident response.WHO THIS BOOK IS FORThe book is designed for IT professionals, security engineers, cloud architects, and anyone responsible for securing OCI environments. Whether you are a seasoned cloud professional or a newcomer to OCI, this book provides the knowledge and practical guidance to protect your cloud infrastructure.
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.
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.
How SMEs Can Innovate and Accelerate Growth
In a world where artificial intelligence is redefining innovation, this book speaks directly to small and medium-sized enterprises (SMEs) to show them how they can integrate AI and machine learning to transform their operations and competitiveness. Dr. Omar BENCHAREF and Dr. Soulaimane KALOUN demystify AI by explaining, with concrete examples and case studies, how SMEs can leverage these technologies to automate tasks, personalize services, and anticipate market trends.Through well-structured chapters, you'll discover how generative AI simplifies content creation, how machine learning predicts financial flows, and how automation optimizes human and operational resources. Designed to be accessible to non-experts, this guide provides practical advice and adaptable strategies for SMEs in any sector, enabling them to equip themselves with advanced tools without massive investments.Whether you're an entrepreneur, operational manager or director, this book is your roadmap to successful AI integration
Software Architecture with Kotlin
Develop innovative architectural styles by analyzing and merging various approaches, focusing on making trade-offs and mitigating risks to solve real-world problemsKey Features: - Learn how to analyze and dissect various architectural styles into building blocks- Combine existing ideas with your own to create custom solutions- Make informed decisions by navigating trade-offs and compromises- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Software Architecture with Kotlin explores the various styles of software architecture with a focus on using the Kotlin programming language. The author draws on their 20+ years of industry experience in developing large-scale enterprise distributed systems to help you grasp the principles, practices, and patterns that shape the architectural landscape of modern software systems.The book establishes a strong foundation in software architecture, explaining key concepts such as architectural qualities and principles, before teaching you how architectural decisions impact the quality of a system, such as scalability, reliability, and extendability. The chapters address modern architecture topics such as microservices, serverless, and event-driven architectures, providing insights into the challenges and trade-offs involved in adopting these architectural styles. You'll also discover practical tools that'll help you make informed decisions and mitigate risks. All architectural patterns in this book are demonstrated using Kotlin.By the end of this book, you'll have gained practical expertise by using real-world examples, along with a solid understanding of Kotlin, to become a more proficient and impactful software architect.What You Will Learn: - Master the fundamental principles of architecture and design- Explore common architectural styles and their applicable scenarios- Analyze, break down, compare, and design architectural styles to solve practical problems- Reason, negotiate, and make difficult choices in the absence of ideal solutions- Mitigate risks when making compromises and trade-offs- Create scalable, sustainable, maintainable, and extendable software systems- Use the Kotlin programming language to achieve your architectural goalsWho this book is for: This book is for developers with basic Kotlin knowledge seeking a deeper understanding of architecture, Kotlin Android developers who are starting to get involved in backend development, and Java developers transitioning to Kotlin. It's also ideal for software architects who are less experienced in Kotlin and want to enhance their skills, as well as those who enjoy discussing and exploring unique architectural concepts.Table of Contents- The Essence of Software Architecture- Principles of Software Architecture- Polymorphism and Alternatives- Peer-to-Peer and Client-Server Architecture- Exploring MVC, MVP, and MVVM- Microservices, Serverless, and Microfrontends- Modular and Layered Architectures- Domain-Driven Design (DDD)- Event Sourcing and CQRS- Idempotency, Replication, and Recovery Models- Auditing and Monitoring Models- Performance and Scalability- Testing- Security- Beyond Architecture
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 advance techniques like wearable technologies, image processing in the sector. It focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects.
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.
A framework for adaptive and efficient requirement change management
In today's evolving software development landscape, managing requirement changes efficiently is essential for success. "A Framework for Adaptive and Efficient Requirement Change Management" delves into the root causes and attributes of requirement changes, offering readers a thorough understanding of how these changes impact project dependencies.This book presents a structured framework for handling requirement changes early in the development process, ensuring adaptability while minimizing disruption. It's an indispensable guide for developers, project managers, and software engineers looking to navigate the complexities of requirement change management effectively.
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.
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.
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.
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
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
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.
Non-verbal language on WhatsApp(R)
The use of applications that connect to the internet has grown considerably. Among them is the WhatsApp(R) application, which in addition to various features that facilitate communication, has a keyboard on its platform that has digital signs called Emojis. The centrepiece of this work is the non-verbal language used in the application in question, through the use of Emojis. The aim was to understand how users utilise this communication tool in order to make digital text more expressive. To this end, questionnaires were administered within the Google Drive Virtual Environment, with links sent via the WhatsApp(R) application itself and distributed throughout the virtual network. The results of the survey showed the identification of the main meanings attributed to these Emojis in the digital discourse used by users. It's worth a look!
Hands-On Machine Learning with C++ - Second Edition
Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasetsKey Features: - Familiarize yourself with data processing, performance measuring, and model selection using various C++ libraries- Implement practical machine learning and deep learning techniques to build smart models- Deploy machine learning models to work on mobile and embedded devices- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Written by a seasoned software engineer with several years of industry experience, this book will teach you the basics of machine learning (ML) and show you how to use C++ libraries, along with helping you create supervised and unsupervised ML models.You'll gain hands-on experience in tuning and optimizing a model for various use cases, enabling you to efficiently select models and measure performance. The chapters cover techniques such as product recommendations, ensemble learning, anomaly detection, sentiment analysis, and object recognition using modern C++ libraries. You'll also learn how to overcome production and deployment challenges on mobile platforms, and see how the ONNX model format can help you accomplish these tasks.This new edition has been updated with key topics such as sentiment analysis implementation using transfer learning and transformer-based models, as well as tracking and visualizing ML experiments with MLflow. An additional section shows you how to use Optuna for hyperparameter selection. The section on model deployment into mobile platform now includes a detailed explanation of real-time object detection for Android with C++.By the end of this C++ book, you'll have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.What You Will Learn: - Employ key machine learning algorithms using various C++ libraries- Load and pre-process different data types to suitable C++ data structures- Find out how to identify the best parameters for a machine learning model- Use anomaly detection for filtering user data- Apply collaborative filtering to manage dynamic user preferences- Utilize C++ libraries and APIs to manage model structures and parameters- Implement C++ code for object detection using a modern neural networkWho this book is for: This book is for beginners looking to explore machine learning algorithms and techniques using C++. This book is also valuable for data analysts, scientists, and developers who want to implement machine learning models in production. Working knowledge of C++ is needed to make the most of this book.Table of Contents- Introduction to Machine Learning with C++- Data Processing- Measuring Performance and Selecting Models- Clustering- Anomaly Detection- Dimensionality Reduction- Classification- Recommender Systems- Ensemble Learning- Neural Networks for Image Classification- Sentiment Analysis with BERT and Transfer Learning- Exporting and Importing Models- Tracking and Visualizing ML Experiments- Deploying Models on a Mobile Platform
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
This book is a thinking-first guide to understanding how JavaScript and the web actually work. Instead of focusing on syntax or step-by-step coding tutorials, it helps readers build a clear mental model of how web applications behave. You will learn how browsers process content, how HTML, CSS, and JavaScript work together, and how logic, data, events, and state shape interactive systems. The book explains not just what happens, but why it happens. It is designed to give beginners a strong conceptual foundation before they start coding, so they can approach programming with clarity and confidence rather than memorization.
Community Data
Community Data offers a new toolkit for data storytelling in community settings, one purpose-built for goals like inclusion, empowerment, and impact. Data science and visualization has spread into new domains it was designed for - community organizing, education, journalism, civic governance, and more. The dominant computational methods and processes, which have not changed in response, are causing significant discriminatory and harmful impacts, documented by leading scholars across a variety of populations. Informed by 15 years of collaborations in academic and professional settings with nonprofits and marginalized populations, the book articulates a new approach for aligning the processes and media of data work with social good outcomes, learning from the practices of newspapers, museums, community groups, artists, and libraries. This book introduces a community-driven framework as a response to the urgent need to realign data theories and methods around justice and empowerment to avoid further replicating harmful power dynamics and ensure everyone has a seat at the table in data-centered community processes. It offers a broader toolbox for working with data and presenting it, pushing beyond the limited vocabulary of surveys, spreadsheets, charts and graphs.
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.
Python Essentials You Always Wanted to Know
Learn Python the Easy Way with No Prior Experience!Key Features include: Comprehensive coverage of Python basicsIdeal for beginners and career changersReal-world applications and case studiesPractical examples and quizzes for reinforcementGet ready to program with Python- one of the most in-demand skills of this decade! If you are interested in learning programming, but not sure where to start, Python Essentials You Always Wanted to Know is your guide to learning Python, one of the most versatile and beginner-friendly programming languages. This book is designed with absolute beginners in mind, focusing on clear explanations and practical examples rather than technical jargon. Regardless of skill level, there's something here for everyone, from the basics of programming logic to more advanced topics like object-oriented programming and error handling. Whether you're a student, a professional transitioning into tech, or simply curious about coding, this book will help you to think like a programmer and enhance your programming skills.The book also includes a chapter dedicated to case studies, giving you the opportunity to practice and apply the discussed concepts. Additionally, you will gain exclusive access to an online glossary of functions and methods mentioned throughout the book to help you retain and understand crucial programming terms.After reading this book, you'll be able to: Understand programming fundamentals and Python syntaxApply data structures, functions, and modular programmingImplement object-oriented principles in your projectsLeverage Python for data analysis and business insightsPart of Vibrant Publishers' Self-Learning Management Series, the book serves as a valuable guide for developing programming skills to complement your existing expertise and advance your career.
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.
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.
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.
Alternative Investments Technology
This book offers a practical roadmap for planning, designing, and executing a program of business transformation using strategic technology solutions and serves as a resource for anyone in private equity/venture capital firms responsible for implementing changes or making key strategic decisions.
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.
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
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.
Alternative Investments Technology
This book offers a practical roadmap for planning, designing, and executing a program of business transformation using strategic technology solutions and serves as a resource for anyone in private equity/venture capital firms responsible for implementing changes or making key strategic decisions.
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.
The Accredited Management Consultant
The Accredited Management Consultant (R) (AMC) is a world-class certification accredited by the Global Academy of Finance and Management (R). The AMC designation is for individuals with skills and experience in management consulting that includes reviewing the organization's processes and suggesting improvements to their overall operations and optimization of the organization's performance. The AMC-certified individual should have strong skills in management consulting services that include project management, business communications, problem-solving, management consulting, data analysis, and leadership management skills.It forms the basis of the assessment that applicants must pass the AMC examination to gain the Accredited Management Consultant (R) designation status and inclusion in the Register of The Global Academy of Finance and Management(R) Directory of Certified/Chartered Professionals.Stand out above the rest with the Accredited Management Consultant certification and get noticed by top recruiters.Who must read this book?Engineering Consultant, Strategy Consultant, Pharmaceutical Consultant, Procurement Consultant, Healthcare Consultant, Life Sciences Consultant, Government, Financial Services Consultant, Wealth Management Consultant, Transformation Consultant, Business Consultant, Retail Consultant.
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.
Digital Privacy and Security
Digital privacy and security have become central issues in the age of connectivity and artificial intelligence (AI). As the world increasingly adopts digital technologies, from mobile devices to healthcare systems and smart networks, including generative AI technologies, the challenges related to protecting personal data, ensuring network integrity, and resilience against cyber threats continue to grow. The intersection of public perception, human development, and digital risk significantly shapes how we address these challenges.This collection of works highlights the multiplicity of approaches and technological solutions being developed to tackle contemporary digital privacy and security challenges in the current AI era. From protecting personal information in healthcare systems to defending against cyber threats in critical networks, digital security is a constantly evolving field, shaped by both technological advances and human interaction with these new tools.
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.
