River Publishers Rapids Series in Computer Engineering and Information Science and Technology – serie
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4 produkter
4 produkter
Häftad, Engelska, 2026
1 017 kr
Skickas inom 10-15 vardagar
This River Publishers Rapid monograph explores recent advances in intelligent technologies and optical computing methods for real-time decision-making systems handling large arrays of fuzzy input data. Developed through long-term collaboration between scientists in Ukraine and the United States—including teams from the University of Texas at El Paso, Admiral Makarov National University of Shipbuilding, Petro Mohyla Black Sea National University, and the Institute of Artificial Intelligence Problems—this work is presented in two focused chapters: Fundamentals of Optical Computing and Optical Color Computing Architecture in Digital Support Systems.The book examines the principles of optical computing, fuzzy data processing, and logical operations based on color representation as an information set. It introduces an innovative approach that uses light radiation of specific colors as fuzzy variables—enhancing the efficiency and speed of logical systems through optical parallelism.Practical implementation of this architecture is demonstrated through a decision support model for managing intensive sea and air traffic, illustrating how real-time multifactorial fuzzy color databases can improve operational decision-making. Performance evaluations show that optical computation delivers higher processing speed due to fewer required operations and parallel data structures.These results have broad applications for higher education, large enterprises, and infrastructure facilities—such as airports, seaports, and oil and gas terminals—where artificial intelligence systems support automated control and decision-making.
- Nyhet
Häftad, Engelska, 2026
1 032 kr
Skickas inom 10-15 vardagar
This book presents AI-driven approaches for combating spam, phishing, and malware in email systems. It reviews classical techniques, identifies their limitations, and introduces two novel frameworks—FLIDA and G-SFO with adaptive capsule networks. It also highlights the role of quantum machine learning in enabling scalable and resilient email security.Key Features:Concise review of classical and AI-based spam detection.Innovative frameworks: FLIDA and G-SFO–ACapsNet.Insights into quantum paradigms for cybersecurity.Empirical evaluations and comparative performance analyses.Open research issues and future perspectives.This is a valuable resource for researchers, postgraduate students, and professionals in cybersecurity, AI, and data science, as well as industry practitioners and policymakers working on secure communication technologies.
- Nyhet
Häftad, Engelska, 2026
1 170 kr
Skickas inom 10-15 vardagar
The 5G mobile system is a culmination of technological evolution of communication technologies, including IP based services, virtualization, the rise of smartphones, IoT and the convergence of wired and wireless networks. With the evolution of 5G mobile connectivity, its security mechanism needs to adapt to a wide range of users and technological shifts.This book provides a simplified view of 5G security, bridging the gap between complex technical standards and practical understanding. Technical topics covered in this book include:Primary and secondary authenticationsSlice authenticationsApplication-oriented authentication and key management support called AKMANon-3GPP access and converged wireline–wireless authenticationNon-public networkUAV USS authentication and authorizationVariability in 5G security feature adoptionAs mobile networks have become an integral part of modern society and critical infrastructure, this book is a timely insight into how 5G security is structured, applied and shaped by the technological and regulatory forces.
Inbunden, Engelska, 2026
1 702 kr
Kommande
AI Applications in Industry offers a comprehensive and forward-looking exploration of how artificial intelligence is reshaping the global industrial landscape. From manufacturing and energy systems to healthcare, logistics, construction, and smart cities, this book examines the transformative power of AI in driving efficiency, safety, sustainability, and innovation across sectors.Written in a clear and authoritative style, the book bridges cutting-edge research with real-world implementation. It presents a structured overview of the key technologies—including machine learning, deep neural networks, generative AI, digital twins, computer vision, robotics, edge–cloud computing, and autonomous systems—and demonstrates how these capabilities are being deployed to solve complex industrial challenges. Through case studies, architecture diagrams, and actionable frameworks, readers gain insights into how AI optimizes production lines, enhances quality assurance, enables predictive maintenance, strengthens supply-chain resilience, and accelerates the transition toward Industry 5.0 and 6.0 paradigms.This book also addresses the broader implications of AI adoption: governance, ethical considerations, cybersecurity, workforce transformation, ESG compliance, and the integration of human-centered design. With perspectives spanning engineering, policy, and strategic management, it equips industry leaders, engineers, researchers, policymakers, and students with a holistic understanding of AI’s impact on modern industry.Key features include:A sector-by-sector analysis of AI implementations in manufacturing, energy, agriculture, healthcare, construction, transportation, and smart city systemsDeep dives into enabling technologies such as digital twins, IoT sensors, robotics, edge AI, generative design, and autonomous systemsPractical methodologies for deploying AI solutions with measurable ROI and sustainability outcomesCase studies from leading industries and national digital-transformation initiativesFrameworks for responsible, secure, and human-centric AI adoptionEmerging trends, challenges, and future directions toward a more resilient, intelligent, and sustainable industrial ecosystem.AI Applications in Industry is an essential reference for anyone seeking to understand or lead the next wave of digital and industrial transformation. Whether you are an engineer, academic, manager, or innovator, this book provides the insights and tools needed to harness AI’s full potential in shaping tomorrow’s industries.