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VD05-1424

Scalable Modeling and Efficient Management of IoT Applications (9798369347706)(文景書局)

ISBN: IGI97947706　Year: 2025 　Price: US$ 210.00

Author: Dharmendra Singh Rajput

A b s t r a c t

To tackle these challenges, Scalable Modeling and Efficient Management of IoT Applications emerges as a valuable resource, offering a multitude of effective solutions to address these concerns. This is a book that was meticulously crafted to empower scholars with the knowledge and tools they need. By tackling the scarcity of guidance on intelligent modeling techniques, the book equips readers with a profound understanding of the fundamental concepts, algorithms, and methodologies crucial for designing and managing intelligent IoT systems.

Furthermore, the book extends its guiding hand to conquer the complex terrain of managing IoT applications. It offers practical insights, strategies, and real-world case studies, providing scholars with the means to tackle implementation challenges encompassing scalability, interoperability, security, and data management. Rather than merely addressing existing challenges, the book also ensures that scholars remain at the forefront of IoT knowledge, offering insights into the latest research trends and emerging technologies. Scalable Modeling and Efficient Management of IoT Applications is the compass that academic scholars need, helping them navigate the complexities of IoT and bridging the gap between theory and practical implementation.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Academia
‧Complex Challenges
‧Comprehensive Solutions
‧Implementation
‧Intelligent Models
‧Internet of Things
‧Management Strategies
‧Modeling Techniques
‧Real-world Applications
‧Research Trends
‧Scalability
‧Technological Landscape

VD05-1423

Advancing Cyber Security Through Quantum Cryptography (9798369359624)(文景書局)

ISBN: IGI97959624　Year: 2025 　Price: US$ 215.00

Author: Nirbhay Kumar Chaubey

A b s t r a c t

With the increasing power of computing, cybersecurity faces mounting threats, making digital systems more vulnerable to attacks. While modern cryptography used to be compelling, it now shows vulnerabilities against rapidly growing computational capabilities. Therefore, robust security solutions have become urgent in this precarious landscape.

Advancing Cyber Security Through Quantum Cryptography is a book that can guide us through the turbulent waters of cybersecurity and quantum cryptography. It offers a panoramic view of current affairs, insightful analyses, illuminating case studies, and meticulous exploration of challenges and opportunities. Through this book, readers can gain knowledge and navigate this complex terrain. It delves into critical areas where quantum cryptography can fortify cybersecurity defenses, such as secure communications, e-commerce, and quantum internet.

This book is not just an indispensable resource, but a catalyst for collaboration and innovation. It guides cybersecurity experts, policymakers, scholars, and practitioners grappling with the intricacies of cyber-physical systems and quantum computing. By shedding light on existing vulnerabilities, it illuminates the path towards a more secure digital future. By fostering collaboration and innovation, it empowers readers to confront the challenges posed by quantum computing head-on, ensuring that they remain at the vanguard of cybersecurity in an ever-evolving technological landscape.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Blockchain Security
‧Cyber-Attack Detection
‧Cybersecurity Architecture
‧Cyber-Threat Intelligence
‧Distributed Systems Security
‧Edge Computing Security
‧Forensics
‧IoT Security
‧Quantum Computing
‧Quantum Cryptography
‧Quantum E-Commerce
‧Quantum Hacking
‧Quantum Internet
‧Quantum Network
‧Software Defined Networks (SDN) Security

VD05-1422

Generative AI for Web Engineering Models (9798369351369)(文景書局)

ISBN: IGI97951369　Year: 2025 　Price: US$ 360.00

Author: Imdad Ali Shah

A b s t r a c t

Web engineering faces a pressing challenge in keeping pace with the rapidly evolving digital landscape. Developing, designing, testing, and maintaining web-based systems and applications require innovative approaches to meet the growing demands of users and businesses. Generative Artificial Intelligence (AI) emerges as a transformative solution, offering advanced capabilities to enhance web engineering models and methodologies. This book presents a timely exploration of how Generative AI can revolutionize the web engineering discipline, providing insights into future challenges and societal impacts.

Generative AI for Web Engineering Models offers a comprehensive examination of integrating AI-driven generative approaches into web engineering practices. It delves into methodologies, models, and the transformative impact of Generative AI on web-based systems and applications. By addressing topics such as web browser technologies, website scalability, security, and the integration of Machine Learning, this book provides a roadmap for researchers, scientists, postgraduate students, and AI enthusiasts interested in the intersection of AI and web engineering.

Through insightful analysis and real-world examples, this book equips readers with the knowledge and tools to navigate the complexities of web engineering in the AI era. It offers practical strategies for leveraging Generative AI to develop more efficient, scalable, and secure web-based solutions. As the digital landscape continues to evolve, Generative AI for Web Engineering Models is a valuable resource for those seeking to stay at the forefront of web technology.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Code Generation
‧Meb ML
‧Nature Language Processing (NLP)
‧Security
‧UML Web Application Extension
‧UML-Based Web Engineering
‧Web Applications
‧Web Architect
‧Web-Browser
‧Website Scalability
‧Websites Scaling

VD05-1421

AI Developments for Industrial Robotics and Intelligent Drones (9798369348796)(文景書局)

ISBN: IGI97948796　Year: 2025 　Price: US$ 245.00

Author: Brij B. Gupta

A b s t r a c t

In today's rapidly evolving technological landscape, industries increasingly turn to industrial robots and intelligent drones to streamline processes, improve efficiency, and reduce costs. However, the complexity of these smart devices, coupled with the need for seamless integration of machine learning, AI, robotics, and deep learning technologies, poses significant challenges for researchers and practitioners alike. As a result, there is a growing demand for comprehensive resources that explore the latest advancements in these fields and provide practical insights and solutions for effectively leveraging these technologies.

AI Developments for Industrial Robotics and Intelligent Drones addresses this pressing need by offering a detailed and insightful examination of the key technologies driving the development of industrial robots and intelligent drones. By compiling the latest research and developments in the field, this book serves as a comprehensive guide for researchers, scholars, and professionals seeking to understand and harness the full potential of these technologies.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Collision Detection
‧Drone-Based Surveillance
‧Drones and Smart City Traffic Monitoring
‧Fault Detection in Robotic Arms
‧Industrial Robots
‧Intelligent Drones
‧Internet of Robotic Things (IoRT)
‧Internet of Underwater Things
‧Multi-Robot Control
‧Programming of Industrial Robots and Intelligent Drones
‧Robotic Control Systems
‧Security of Industrial Robots and Drones
‧Sensors for Robots
‧Smart Agriculture Using Intelligent Drones
‧The Roles of AI/ML and IoT in Robotic Applications
‧Wireless Networks for Industrial Automation-Factory Automation

VD05-1420

Machine Learning for Environmental Monitoring in Wireless Sensor Networks (9798369351659)(文景書局)

ISBN: IGI97951659　Year: 2025 　Price: US$ 275.00

Author: Parikshit N. Mahalle

A b s t r a c t

Machine Learning for Environmental Monitoring in Wireless Sensor Networks offers a comprehensive solution to the limitations of traditional environmental monitoring methods. By harnessing the power of Wireless Sensor Networks (WSNs) and advanced machine learning algorithms, this book presents a novel approach to ecological monitoring that enables real-time, high-resolution data collection and analysis. By integrating WSNs and machine learning, environmental stakeholders can gain deeper insights into complex ecological processes, allowing for more informed decision-making and proactive management of natural resources.

Key features of the book include an in-depth exploration of the principles, methodologies, and applications of WSNs and machine learning in environmental monitoring, real-world case studies and projects illustrating successful implementations, and a discussion on energy-efficient strategies for optimizing the sustainability of WSN deployments. Emphasis is placed on interdisciplinary collaborations among environmental scientists, engineers, data scientists, policymakers, and other stakeholders to foster innovative solutions for sustainable ecological monitoring. This book, tailored for researchers, practitioners, policymakers, and environmental enthusiasts, is an invaluable resource for leveraging cutting-edge technologies to address environmental monitoring and conservation challenges.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Agriculture
‧Air Quality
‧Biodiversity
‧Climate Change
‧Data Collection Methods and Tools
‧Energy Efficiency
‧Environmental Monitoring
‧Machine Learning
‧Remote Sensing
‧Security
‧Sensor Networks
‧Sustainability
‧Water Resources
‧Wildlife Monitoring

VD05-1419

Real-Time Data Decisions With AI and ChatGPT Techniques (9798369350423)(文景書局)

ISBN: IGI97950423　Year: 2025 　Price: US$ 210.00

Author: Priyanka Sharma

A b s t r a c t

Real-Time Data Decisions With AI and ChatGPT Techniques is a groundbreaking book that addresses this critical challenge. By providing a detailed analysis of ChatGPT and other AI tools, this book equips businesses with the knowledge and strategies needed to leverage AI effectively. From algorithmic enhancements to real-world applications, each chapter offers valuable insights and actionable recommendations, making this book an indispensable guide for businesses seeking to capitalize on AI's transformative potential.

With contributions from leading experts in the field, this book covers a wide range of topics, including algorithmic challenges, use cases in various industries, security concerns, and future trends. Whether you're a business leader looking to enhance customer engagement or a researcher exploring the frontiers of AI, this book offers a comprehensive and insightful exploration of ChatGPT and its impact on the future of business.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧AI Chatbot Development with ChatGPT
‧ChatGPT Algorithmic Challenges
‧ChatGPT Applications in Various Fields
‧ChatGPT Case Studies
‧ChatGPT in Engineering
‧ChatGPT Security Concerns
‧ChatGPT Use-Cases
‧ChatGPT's Contribution in the Modern Era
‧Future Directions of ChatGPT and AI
‧Implications of ChatGPT
‧Maximizing ChatGPT's Potential with AI
‧Trends in ChatGPT Research

VD05-1418

Reshaping CyberSecurity With Generative AI Techniques (9798369354162)(文景書局)

ISBN: IGI97954162　Year: 2025 　Price: US$ 245.00

Author: Noor Zaman Jhanjhi

A b s t r a c t

Reshaping CyberSecurity With Generative AI Techniques offers a transformative solution to the pressing cybersecurity dilemma by harnessing the power of cutting-edge generative AI technologies. Bridging the gap between artificial intelligence and cybersecurity presents a paradigm shift in defense strategies, empowering organizations to safeguard their digital assets proactively. Through a comprehensive exploration of generative AI techniques, readers gain invaluable insights into how these technologies can be leveraged to mitigate cyber threats, enhance defense capabilities, and reshape the cybersecurity paradigm.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Adversarial Attack Defense
‧AI-Enhanced Dynamic Defense Strategies
‧Applications of Generative AI in Cybersecurity
‧Building Resilient Systems
‧Deep Learning for Threat Detection and Analysis
‧Enhancing Security Through Generative AI-Based Authentication
‧Ethical Considerations in Generative AI-Powered Cybersecurity
‧Federated Learning for Collaborative Cyber Defense
‧Generative Adversarial Networks (GANs) in Cybersecurity
‧Generative AI for Threat Hunting and Behavior Analysis
‧Generative AI for Threat Intelligence and Information Sharing
‧Generative AI in Network Security and Intrusion Detection
‧Generative AI-Based Forensics and Incident Response
‧Leveraging Generative AI for Secure Communication Protocols
‧Privacy-Preserving Techniques

VD05-1417

ODE, BVP, and 1D PDE Solvers for Scientific and Engineering Problems With MATLAB Basics(文景書局)

ISBN: 9781668468517　Year: 2025 　Price: US$ 185.00

Author: Leonid Burstein

A b s t r a c t

The definitive solution to the academic conundrum of this lack of a focused resource is the book, ODE, BVP, and 1D PDE Solvers for Scientific and Engineering Problems with MATLAB Basics, which draws on years of teaching experience. This groundbreaking book provides a structured and holistic learning path designed to empower both novice learners and seasoned professionals. It takes readers on a comprehensive journey, commencing with the fundamentals of MATLABR software and culminating in the mastery of its application in solving ODEs and 1D PDEs for a broad range of engineering problems.

The book not only fills a void in academic literature by focusing specifically on solving engineering problems using MATLABR solvers but also imparts a deep understanding of the software and its practical applications, comprehensive chapters encompass computational tools, numerical methods, and the hands-on use of ODE and 1D PDE solvers. This ensures that learners effectively bridge the gap between theory and real-world implementation. The real-world application examples drawn from various technical fields further illuminate the concepts, making ODE, BVP, and 1D PDE Solvers for Scientific and Engineering Problems with MATLAB Basics an indispensable resource for scholars aspiring to excel in natural sciences, life sciences, and modern industry. It empowers individuals to turn theoretical knowledge into practical solutions, equipping them to thrive in the demanding landscape of science and technology.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Development of Engineering Solutions
‧Fundamentals of MATLABR Software
‧Holistic Learning Path
‧Life Sciences Solutions
‧Natural Sciences
‧One-Dimensional Partial Differential Equations
‧Ordinary Differential Equations

VD05-1416

Innovations in Optimization and Machine Learning (9798369352328)(文景書局)

ISBN: IGI97952328　Year: 2025 　Price: US$ 275.00

Author: Toufik Mzili

A b s t r a c t

Innovations in Optimization and Machine Learning serve as a comprehensive solution, offering a deep dive into optimization, machine learning, and AI. By unraveling the complexities and providing practical insights, it empowers researchers, practitioners, students, and enthusiasts to understand and contribute to advancing these fields. The book covers many topics, from evolutionary algorithms to ethical AI development, ensuring a thorough understanding of key concepts and their real-world implications.

By bridging the gap between theory and practice, this book equips readers with the knowledge and tools to address optimization, machine learning, and AI challenges. Whether you're looking to enhance operational efficiency, develop innovative solutions, or drive meaningful change, this book is your guide to unlocking the transformative potential of optimization, machine learning, and AI in today's dynamic landscape.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Bayesian Optimization
‧Bias and Fairness in Machine Learning Algorithms
‧Computer Vision and Image Processing
‧Convex Optimization
‧Deep Learning Architectures
‧Ethical Considerations in AI Development
‧Evolutionary Algorithms
‧Financial Optimization Models
‧Healthcare Optimization
‧Human-AI Collaboration and Augmentation
‧Metaheuristic Optimization Methods
‧Natural Language Processing
‧Neural Network Optimization Techniques
‧Reinforcement Learning
‧Wastewater Treatment Plants Optimization

VD05-1415

Multi-Criteria Decision Making Models and Techniques: Neutrosophic Approaches (9798369347157)(文景書局)

ISBN: IGI97947157　Year: 2025 　Price: US$ 260.00

Author: Mohamed Abdel-Basset

A b s t r a c t

Multi-Criteria Decision Making Models and Techniques: Neutrosophic Approaches explores the neutrosophic sets as a solution, uniquely poised to accommodate inherent uncertainties. Neutrosophic sets and logic are evolutionary extensions of fuzzy and intuitionistic fuzzy sets and logic. In real-world problems, these diverse uncertain systems demonstrate a capability to manage heightened levels of uncertainty. This book delves into the burgeoning field of neutrosophic theory, elucidating its application in operations research. Neutrosophic sets and logic have emerged as pivotal tools in grappling with uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Complex Neutrosophic Set-Based Multi-Criteria Group Decision Making
‧Design of Nonlinear Optimal Controllers
‧Fundamental Theories for Operational Research
‧Logistics Engineering Modelling, Optimization, and Simulation
‧Neutrosophic Data Analysis
‧Neutrosophic Mathematical Programming, Possibilistic Optimization
‧Neutrosophic Regression Analysis
‧Neutrosophic Set-Based Computational Modelling
‧Neutrosophic Set-Based Economic Forecasting
‧Neutrosophic Set-Based Game Theory
‧Neutrosophic Set-Based Goal Programming Problems
‧Neutrosophic Set-Based Integer Programming Problems
‧Neutrosophic Set-Based Linear Programming Problems
‧Neutrosophic Set-Based Nonlinear Programming Problems and Its Applications
‧Operations Research and Operations Management

VD05-1414

Building Business Models with Machine Learning (9798369350973)(文景書局)

ISBN: IGI97950973　Year: 2025 　Price: US$ 210.00

Author: Ambika N.

A b s t r a c t

Building Business Models with Machine Learning focuses on problem-solving and practical application. It provides a roadmap for incorporating machine learning into organizational strategies and covers a wide range of topics, including sustainability in business models, machine learning in healthcare, and online fraud detection. By offering a thorough manual for integrating learning into organizational plans, this book enables readers to develop data-driven, adaptable business models essential for success in today's dynamic business landscape.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Behavior Finance on Sustainable Financing
‧Business Analytics in Models
‧Carbon Financing
‧Climate Financing
‧Developing Financing Instruments
‧Energy Financing
‧Federated Learning for Health Management
‧Frameworks for Sustainable Financing
‧Governance of Financing and Investing
‧Green Financing
‧Impact Investing in Models
‧ML in Healthcare
‧ML Recommendation System for Finance
‧Sustainability in Models
‧Traffic Time Series Deep Learning

VD05-1405

Enhancing Steganography Through Deep Learning Approaches (9798369349403)(文景書局)

ISBN: IGI97949403　Year: 2025 　Price: US$ 170.00

Author: Vijay Kumar

A b s t r a c t

Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography.

This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals. It is a valuable resource for those looking to incorporate advanced security measures into their products and services. With a focus on practical insights and real-world applications, this book is an essential guide for understanding and implementing steganography and deep learning techniques to enhance security in digital transmission systems.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Adversarial Training for Steganography
‧Benchmarking and Evaluation Metrics for Deep Learning-based Steganography
‧Combining Traditional Steganography with Deep Learning
‧Deep Learning for Payload Compression and Efficiency
‧Deep Learning for Steganalysis Resistance
‧Deep Learning-Based Embedding Techniques
‧Deep Reinforcement Learning for Steganography
‧Generative Adversarial Networks (GANs)
‧Improving Security with GANs
‧Multimodal Steganography using Deep Learning
‧Privacy-Preserving Applications using Deep Learning Steganography

VD05-1404

Transformative Integration of Sensors, Controls, and Safety Networks (9798369348130)(文景書局)

ISBN: IGI97948130　Year: 2025 　Price: US$ 245.00

Author: Revathi S.

A b s t r a c t

The target audience, comprising professionals and researchers, will find in this book a valuable tool for navigating the complex landscape of sensors, controls, and safety networks. It becomes a critical reference for those pursuing advanced degrees and delving into topics ranging from wireless communication to smart grids. As the book addresses the pressing need for a consolidated resource in these evolving fields, it emerges as the go-to solution for academics, engineers, and practitioners seeking to comprehend, integrate, and harness the transformative power of sensors, controls, and safety networks.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Advances in Data Acquisition Technologies for Sensors
‧Artificial Intelligence for Enhancing Human-Machine Interaction
‧Energy Efficiency Strategies in Smart Grids
‧Environmental Monitoring Solutions for Smart Cities
‧Fault Detection and Diagnosis in Networked Control Systems
‧Fault-Tolerant Systems for Reliable Industrial Operations
‧Healthcare Applications of Sensor Technologies
‧Machine Learning Applications in Adaptive Control
‧Real-time Monitoring Solutions in Cyber-Physical Systems
‧Robotics and Automation in Industrial Environments
‧Security and Privacy Measures in IoT-enabled Networks
‧Sensor Integration Techniques for IoT Systems

VD05-1413

Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application(文景書局)

ISBN: 9781668486870　Year: 2024 　Price: US$ 210.00

Author: Hadj Ahmed Bouarara

A b s t r a c t

In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures.

Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Artificial Intelligence
‧Big Data
‧Convolutional Neural Networks
‧Cryptocurrency
‧Cybersecurity
‧Data Management
‧Data Mining
‧Fraud Detection
‧Machine Learning
‧Medical and Healthcare Industries
‧Models and Algorithms
‧Security and Privacy

VD05-1412

Data Collection and Analysis in Scientific Qualitative Research (9798369386903)(文景書局)

ISBN: IGI97986903　Year: 2024 　Price: US$ 275.00

Author: Badr Bentalha

A b s t r a c t

Scientific discovery is always built on the foundation of sound data and research. Emerging advancements of technologies and strategies are revolutionizing the way we gather and interpret data. These advancements are not only enhancing the efficiency and accuracy of data collection and analysis but are also opening up new possibilities for scientific research and discovery. To continue building progress in such fields, a strong knowledge of collecting and analyzing useable volumes of information is essential.

Data Collection and Analysis in Scientific Qualitative Research discusses the integration of qualitative analysis into academic research and empirical projects. Balanced between application and theory, the text covers the latest technological, organizational, and methodological developments in qualitative research. Coving topics such as qualitative research, ethics, and generative AI, this book is an essential resource for scientists, academicians, researchers, educators, and more.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Complexities of Qualitative Research
‧Content Analysis
‧Data Collection Methods
‧Ethics in Case Studies
‧Ethnography’s Unique Contribution
‧Focus Groups
‧Generative AI
‧Practices in Medical Science
‧Qualitative and Quantitative Methods
‧Research Designs
‧Thematic Analysis
‧Unusual Qualitative Practices

VD05-1411

Quantum Networks and Their Applications in AI (9798369358337)(文景書局)

ISBN: IGI97958337　Year: 2024 　Price: US$ 275.00

Author: Christo Ananth

A b s t r a c t

The union of quantum networks and artificial intelligence marks a pivotal moment in the trajectory of technological advancement. This encompasses data security, optimization, finance, high-precision sensors, simulations, and computer applications. Numerous quantum information and processing systems have been created and proven in labs, fields, and commercial settings during the last few decades. Quantum technologies have received considerable support for research and development from corporations and governments. However, considerable work is required to bring quantum technology-based gadgets and systems to consumers' homes.

Quantum Networks and Their Applications in AI investigates the potential uses of artificial intelligence and related technologies in quantum networks and to educate the computational intelligence community about current advances in quantum information technology. The purpose of this research topic is to bring together individuals from academia and industry, from the classical and quantum artificial intelligence communities in order to discuss the theory, technology, and applications of quantum technologies, and to exchange ideas on how to efficiently advance the engineering and development of this fascinating field. Covering topics such as machine learning, management systems, and quantum networks, this book is a valuable resource for computer scientists, engineers, professionals, researchers, academicians, government officials, policy makers, and more.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Artificial Intelligence (AI)
‧Cardiovascular Risk Assessment
‧Decision Making
‧Detection Systems
‧Early Disease Detection
‧E-Commerce
‧Fraud Detection
‧Grammar Correction
‧Health Monitoring
‧Law Enforcement Reporting
‧Machine Learning
‧Management Systems
‧Molecular Simulation
‧Quantum Networks
‧Secure Transactions
‧Waste Management Optimization
‧Women’s Security

VD05-1410

Design and Implementation of Software Engineering for Modern Web Applications(文景書局)

ISBN: 9781668448458　Year: 2024 　Price: US$ 210.00

Author: Mohammed Moreb

A b s t r a c t

Software engineering is a basic concept in the digital age. The seamless operation of a website is integral to the functioning of businesses, education, government services, and personal communications. As a foundation of our online interactions, a website must be meticulously crafted to provide an outstanding user experience supported by an innovative user interface. It is essential to explore core services required to host, manage, and access a secure modern website.

Design and Implementation of Software Engineering for Modern Web Applications serves as a comprehensive guide to understanding the technologies and methodologies essential for designing, developing, and maintaining modern, secure websites. From domain structures and domain name systems to web protocols, database servers, and web browsers are introduced to the network concepts critical to server technologies. Covering topics such as requirements engineering, web applications, and website management, this book is an essential resource for postgraduate students, educators, web developers, researchers, academicians, and more.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Database Servers
‧Domain Name Systems
‧Domain Structures
‧Requirements Engineering
‧Software Engineering
‧Software Process Models
‧Web Application Systems
‧Web Applications
‧Web Browsers
‧Web Protocols
‧Website Deployment
‧Website Design
‧Website Development
‧Website Management
‧Website Testing

VD05-1409

Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods (9798369349014)(文景書局)

ISBN: IGI97949014　Year: 2024 　Price: US$ 210.00

Author: Abdulsattar Abdullah Hamad

A b s t r a c t

Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods offers a comprehensive understanding and hands-on experience with numerical methods, empowering you to push the boundaries of innovation. By providing practical examples of coding and real-world applications, you will be equipped with the skills to tackle dynamic systems, partial and ordinary differential equations, and other mathematical simulations confidently.

This book offers a transformative solution that bridges the gap between theory and practice, providing a holistic approach to mastering numerical methods. This book empowers professionals and learners alike to innovate and excel in their fields. Through its comprehensive guide, readers gain a solid foundation in numerical methods, enabling them to unlock the full potential of finite element, volume, and difference methods. It is not just a book; it's a roadmap to success in numerical methods, offering practical insights and coding techniques that will propel readers to new heights of innovation and discovery in engineering.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Adaptive Mesh Refinement
‧Applications in Structural, Thermal, and Fluid Analysis
‧Design Optimization Using Numerical Methods
‧Distributed Memory Architectures and Algorithms
‧Domain Decomposition and Message-Passing Interfaces
‧Essentials of Numerical Analysis
‧Finite Element, Volume, and Difference Methods Overview
‧Graphics Processing Units (GPUs) for Numerical Computations
‧Higher Order Basis Functions
‧Introduction to Programming Languages in Numerical Methods
‧Linear Algebraic System of Equations
‧Mesh Refinement Techniques
‧Multiphysics Simulations
‧Nonlinear Equations Numerical Solutions
‧Parallel Computation Techniques

VD05-1408

Metaheuristics Algorithm and Optimization of Engineering and Complex Systems (9798369350027)(文景書局)

ISBN: IGI97950027　Year: 2024 　Price: US$ 275.00

Author: Thanigaivelan R.

A b s t r a c t

Metaheuristics Algorithm and Optimization of Engineering and Complex Systems provides an exhaustive overview of modern computational methods within emerging fields. It goes beyond the mere description of general metaheuristic methods, incorporating state-of-the-art articles from classical application areas. Tailored to serve as a textbook for graduate-level courses, a reference guide for engineering and social science enthusiasts, or a compilation of fresh opportunities for scholars, this book spans the spectrum of current developments in hyper-heuristic approaches. Covering simulated annealing, scatter search, tabu search, constraint programming, and more, it acts as a bridge between conventional algorithms and cutting-edge meta-heuristic algorithms. The book positions itself as a pivotal resource for dynamic optimization practitioners, appealing to both novices and seasoned professionals seeking a single point of contact for the latest insights in this ever-evolving field.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Electrochemical Meta-Heuristic Technique-Based Parametric Optimization
‧Electrospark Meta-Heuristic Technique-Based Parametric Optimization
‧Hybrid Meta-Heuristic Algorithm for Process Optimization
‧Laser Meta-Heuristic Technique-Based Parametric Optimization
‧Machine Learning in IIOT
‧Machining Operation
‧Meta-Heuristic Algorithm for Computer Communications
‧Meta-Heuristic Algorithm-Based Power Distribution System
‧Meta-Heuristic and Machine Learning Modelling
‧Meta-Heuristic and Machine Learning Optimization
‧Meta-Heuristics Applications in Power Systems Trends
‧Meta-Heuristics Approach in Cloud Computing
‧Milling Operation
‧Optimal Sizing of Hybrid Renewable Energy System
‧Thermal Performance of Solar Energy Devices Optimization

VD05-1406

Redefining Security With Cyber AI (9798369365182)(文景書局)

ISBN: IGI97965182　Year: 2024 　Price: US$ 210.00

Author: Marwan Omar

A b s t r a c t

In the rapidly evolving digital landscape, the importance of cybersecurity has never been more critical. With the increasing sophistication of cyber threats, traditional security measures often fall short in providing adequate protection. Cyber artificial intelligence (AI) offers advanced capabilities to detect, prevent, and respond to attacks in real time. As cyber threats continue to grow in complexity and frequency, the integration of AI into cybersecurity frameworks is not just advantageous but essential for maintaining robust and resilient defenses.

Redefining Security With Cyber AI delves into the profound transformation of security paradigms brought about by the advent of AI. This book explores the intricate dance between the ever-expanding frontiers of digital technology and the AI-driven mechanisms that aim to safeguard them. Covering topics such as artificial neural networks, intrusion detection, and large language models, this book is an excellent resource for cybersecurity professionals, AI and machine learning researchers, IT executives and managers, policy makers and regulators, postgraduate students and educators, academicians, and more.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Artificial Intelligence (AI)
‧Artificial Neural Networks
‧Cyber Crime
‧Cybersecurity
‧Deep Learning Models
‧Image-Based Attacks
‧Internet of Things (IoT) Security
‧Intrusion Detection
‧Large Language Models
‧Machine Learning
‧Smart Grids
‧Source Code Vulnerability

VD05-1403

Handbook of Research on AI and ML for Intelligent Machines and Systems(文景書局)

ISBN: 9781668499993　Year: 2024 　Price: US$ 380.00

Author: Brij B. Gupta

A b s t r a c t

This book delves into the world of intelligent machines, revealing how they interact autonomously with their environment and adapt seamlessly to new situations. By harnessing the power of AI and ML, these smart devices can accomplish complex tasks such as traffic monitoring, speech recognition, face recognition, and automatic manufacturing, significantly enhancing operational efficiency.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Agriculture devices
‧Big Data Processing
‧Cyber Economy Improvement
‧Diagnostics Making
‧Edge Devices
‧Food Processing
‧Healthcare Machines
‧Human-Machine Interaction
‧Image Enhancement Devices
‧Intelligent Machines
‧Manufacturing Devices
‧Network Traffic Monitoring
‧Smart City and Intelligent Machines
‧Speech and Language Recognition Devices
‧Wireless Sensing Systems

VD05-1402

AI and Blockchain Applications in Industrial Robotics (9798369306598)(文景書局)

ISBN: IGI97906598　Year: 2024 　Price: US$ 300.00

Author: Rajashekhar C. Biradar

A b s t r a c t

The book provides comprehensive insights into how AI enhances predictive models and pattern recognition while blockchain ensures secure and immutable data transactions. By synergizing these technologies, businesses can achieve enhanced transparency, trust, and efficiency in their robotic processes. It offers practical applications, use cases, and real-world examples that cater to postgraduate students, researchers, industry professionals, undergraduate students, and freelance developers, empowering them to embrace the possibilities of AI and blockchain in industrial robotics.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Artificial Intelligence
‧Automation
‧Blockchain
‧Data Security
‧Efficiency
‧Emerging Technologies
‧Industrial Robotics
‧Innovation
‧Performance Optimization
‧Predictive Models
‧Synergy
‧Technology
‧Transparency
‧Trust
‧Use Cases

VD05-1401

Quantum Computing and Cryptography in Future Computers(文景書局)

ISBN: 9781799895220　Year: 2024 　Price: US$ 285.00

Author: Shyam R. Sihare

A b s t r a c t

In recent decades, computing has undergone rapid evolutions and groundbreaking developments that affect almost every sector across the world. The developments of quantum computing and quantum cryptography are similarly revolutionizing computing and security with lasting impacts and implications. Quantum computing and quantum cryptography will pave the path for new opportunities for the future of computing.

Quantum Computing and Cryptography in Future Computers discusses quantum computing and quantum cryptography principles and their impact on future computers. It includes coverage of the role of quantum computing to overcome the issues of current security methods. It also discusses the application of quantum computing in various areas like security, blockchain, and more. Covering topics such as attack detection, machine learning, and quantum key distribution, this premier reference source is an ideal resource for developers, engineers, practitioners, security experts, students and educators of higher education, librarians, researchers, and academicians.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Attack Detection
‧Communication Security
‧Cryptography
‧Machine Learning
‧Protocols
‧Qiskit
‧Quantum Circuits
‧Quantum Computing
‧Quantum Entanglement
‧Quantum Gates
‧Quantum Key Distribution

VD05-1400

Predicting Natural Disasters With AI and Machine Learning (9798369322802)(文景書局)

ISBN: IGI97922802　Year: 2024 　Price: US$ 315.00

Author: D. Satishkumar

A b s t r a c t

This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management.

This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Artificial Intelligence
‧Data Challenges
‧Deep Learning
‧Disaster Management
‧Disaster Recovery
‧Disaster Response Execution
‧Disaster Response Readiness
‧Disaster Risk Mitigation
‧Early Warning Systems
‧Earthquake Forecasting
‧Emergency Decision Making
‧Ethical Issues in AI
‧IoT-Based Systems
‧Machine Learning
‧Natural Hazards
‧Predictive Modeling
‧Seismic Attacks

VD05-1399

Industrial Applications of Big Data, AI, and Blockchain (9798369310465)(文景書局)

ISBN: IGI97910465　Year: 2024 　Price: US$ 275.00

Author: Mahmoud El Samad

A b s t r a c t

Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries.

The book also navigates through big data, a robust infrastructure adorned with the quintessence of the 5V characteristics—velocity, volume, value, variety, and veracity. It is a stronghold for developers, offering an efficient sanctuary for advanced database systems, encompassing services like data cleaning, storage, processing, and analysis. The gravitational pull of big data attracts both researchers and industrialists.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Artificial Intelligence
‧Big Data Analytics
‧Blockchain Technology
‧Cryptocurrency
‧Data-driven Decision Making
‧Digital Industry
‧Financial Markets
‧Fintech Innovation
‧Healthcare Transformation
‧Marketing Intelligence
‧Natural Language Processing
‧Organizational Learning
‧Peer-to-peer Collaboration
‧Project Management

VD05-1398

Improving Security, Privacy, and Trust in Cloud Computing (9798369314319)(文景書局)

ISBN: IGI97914319　Year: 2024 　Price: US$ 265.00

Author: Pawan Kumar Goel

A b s t r a c t

This book's exploration into security, privacy, and trust in cloud computing takes a holistic approach. It recognizes that a resilient cloud strategy is built upon these three fundamental pillars, each reinforcing the other. Security forms the fortress that guards against external threats and internal vulnerabilities. Privacy ensures that individuals' personal information is respected and protected, even in the cloud. Trust is the bond that unites cloud service providers and consumers, fostering a relationship grounded in transparency, reliability, and accountability.

Throughout the chapters of this book, readers will embark on a multidimensional expedition. This book will take them through real-world case studies of successful cloud security implementations and unfortunate breaches that underscore the urgency of robust defenses. From data encryption techniques to incident response protocols, this book offers practical insights and actionable strategies that can be implemented by IT professionals, security experts, and decision-makers alike.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Cloud Access Control
‧Cloud Compliance Frameworks
‧Cloud Computing Security
‧Cloud Data Governance
‧Cloud Identity Management
‧Cloud Incident Response
‧Cloud Privacy Regulations
‧Cloud Risk Management
‧Cloud Security Best Practices
‧Cloud Security Challenges
‧Cloud Security Solutions
‧Data Privacy in the Cloud
‧Emerging Cloud Security Trends
‧Encryption in Cloud
‧Trust in Cloud Services

VD05-1396

Emerging Technologies for Securing the Cloud and IoT (9798369307663)(文景書局)

ISBN: IGI97907663　Year: 2024 　Price: US$ 275.00

Author: Amina Ahmed Nacer

A b s t r a c t

With a focus on practicality and real-world applications, this book invites authors to explore topics such as security frameworks, AI and machine learning integration, data protection, threat modeling, and more. Edited by esteemed researchers, practitioners, and luminaries, each chapter offers insights that bridge the gap between theory and implementation. Aspiring to serve as an authoritative reference, this compilation empowers readers to navigate the complexities of securing cloud based IoT systems effectively. For scholars, students, professionals, and policymakers eager to comprehend, confront, and conquer the security challenges of today and tomorrow, this book presents itself as the quintessential guide to ushering in an era of secure technological advancement.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Access Control
‧Artificial Intelligence
‧Authentication Protocols
‧Blockchain
‧Cloud Computing
‧Data Protection
‧Emerging Technologies
‧Internet of Things (IoT)
‧Intrusion Prevention
‧Machine Learning
‧Privacy Preservation
‧Risk Assessment
‧Secure Communication
‧Security Frameworks
‧Threat Detection

VD05-1394

Cybersecurity Issues and Challenges in the Drone Industry (9798369307748)(文景書局)

ISBN: IGI97907748　Year: 2024 　Price: US$ 275.00

Author: Imdad Ali Shah

A b s t r a c t

This book is an invaluable resource for drone manufacturers, government agencies, regulators, cybersecurity professionals, and academia and research institutions invested in understanding and mitigating the cybersecurity risks in the drone industry. It provides insights into the use of advanced technologies, such as artificial intelligence, in addressing security issues, the importance of cyber-physical systems security, and the development of efficient and secure models for image detection using deep learning. Furthermore, the book explores the security concerns associated with AI-based drones in smart cities and offers guidelines for measuring appropriate security measures.

Cybersecurity Issues and Challenges in the Drone Industry serves as a roadmap for protecting the integrity and resilience of drone systems in the face of evolving cybersecurity threats. By promoting a collaborative and proactive approach, this book equips stakeholders with the knowledge and strategies necessary to ensure the safe and secure operation of drones in today's interconnected world.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Authentication Systems
‧Cybersecurity
‧Cybersecurity Threats
‧Data Integrity
‧Drone Industry
‧Encryption
‧Industry-Wide Standards
‧Multifaceted Approach
‧Privacy
‧Software Security
‧Unmanned Aerial Vehicles (UAVs)
‧Vulnerability Assessments

VD05-1393

Blockchain Applications for Smart Contract Technologies (9798369315118)(文景書局)

ISBN: IGI97915118　Year: 2024 　Price: US$ 290.00

Author: Abdelkader Mohamed Sghaier Derbali

A b s t r a c t

Blockchain Applications for Smart Contract Technologies aims to present an exhaustive compilation of academic and industrial endeavors that advocate for the integration of blockchain and smart contracts in various sectors. Beyond offering a comprehensive understanding of blockchain and smart-contract fundamentals, the book seeks to spotlight specific research themes within these domains. With dedicated sections focused on applications in healthcare, finance, e-government, the Internet of Things (IoT), energy, identity, telecommunications, Metaverse, non-fungible tokens (NFTs), and notary services, the book becomes a valuable guiding resource for scholars and professionals alike.

This book caters to scholars, researchers, and industry professionals that want to apply blockchain and smart-contract technologies in their fields. The book is dedicated to specific sectors, providing insights into tailored applications addressing unique challenges and opportunities. With its combination of theoretical foundations and practical applications, the book offers a comprehensive perspective, engaging readers across academic and industrial disciplines.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Blockchain in Identity Management
‧Blockchain Notary Services
‧Blockchain Protocols and Architectures
‧Blockchain Security and Transparency
‧Energy Applications of Smart Contracts
‧Finance Applications of Blockchain Technology
‧Government and E-Voting Applications on the Blockchain
‧Healthcare Applications of Smart Contracts
‧Internet of Things (IoT) Applications on Blockchain
‧Metaverse and NFT Applications in Blockchain
‧Smart Contract Surveys
‧Smart Contracts in Online Payments
‧Telecommunications Applications of Blockchain

VD05-1392

Applications of Machine Learning in UAV Networks (9798369305782)(文景書局)

ISBN: IGI97905782　Year: 2024 　Price: US$ 285.00

Author: Jahan A. Hassan

A b s t r a c t

This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role.

Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond. Furthermore, the students and researchers finds knowledge that illuminates the convergence of UAVs and machine learning, arguably one of the most riveting frontiers in contemporary research.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
‧Automated Inspection
‧Biodiversity Monitoring
‧Cloud Computing
‧Disaster Response
‧Edge Computing
‧Environmental Monitoring
‧Forest Fire Monitoring
‧Habitat Restoration
‧Healthcare Delivery
‧Internet of Things
‧Machine Learning Algorithms
‧Object and People Tracking
‧Precision Agriculture
‧Predictive maintenance
‧Surveillance and Security
‧Unmanned Aerial Vehicles


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