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Wen Guanghui: Distributed Security
Monitoring and Resilient Cooperative Co

Distributed Security Monitoring and Resilient Cooperative Control

Insights from a Career in Cybersecurity

Lessons from the Frontlines

This book analyses Artificial Intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco-friendly AI, navigating legal frameworks, and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real-world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future. This comprehensive study of AI begins by looking at AI's role in environmental sustainability, providing actionable strategies for eco-friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimize its footprint and promote AI solutions that contribute to environmental goals. The authors extend into insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real-world case studies, the reader gains practical understanding of how AI is being used in different contexts. This further enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal objectives.The primary audience for this book includes business leaders, professionals, policymakers, technologists and AI practitioners.

The Blueprint for AI Adoption and Societal Transformation

The Fundamentals of Software-Defined Networking: Towards Intelligent and Flexible Networks is a comprehensive, beginner-friendly guide to Software-Defined Networking (SDN), designed specifically for educators, trainers, and professionals transitioning into modern networking. It offers a structured, standards-based approach that starts with fundamental networking concepts and builds up to advanced SDN architectures. Focusing on accessibility and practical application, it emphasizes open-source tools and real-world labs that can be implemented in low-resource environments. It covers key SDN technologies, including OpenFlow, SD-WAN, SD-LAN, NFV, LISP, and orchestration with Ansible, while integrating Python-based automation and RESTful APIs.Key Features<ul> <li>Progressive, beginner-friendly structure ideal for academic and training settings.</li> <li>Hands-on labs using open-source tools such as ONOS, Ryu, Open vSwitch, and Python, plus real-world case studies and projects.</li> <li>Vendor-neutral content with no reliance on proprietary technologies.</li> <li>Supplementary materials, including scripts and emulator images are available online: www.github.com/sadiqui-ali/SDN_resources </li> </ul>This book is beneficial for instructors, students, and IT professionals seeking a practical and comprehensive introduction to SDN. Moreover, it is particularly suited for training environments where cost-effective, standards-based learning is essential.

Towards Intelligent and Flexible Networks

Fundamentals of Software-Defined Networking

Advanced Materials Processing and Manufacturing

This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer, metals, and ceramic based additive manufactured components. It details the various technologies available to fortify the machine learning aspects in the advanced manufacturing processes, focusing on multidisciplinary domains of science and technology. Features:<ul> <li>Establishes relationship between machine learning (ML) and advanced manufacturing (AM) technology.</li> <li>Helps understand the challenges and opportunities of using ML in materials processing, selection, and manufacturing for different areas.</li> <li>Reviews hybridization of techniques under ML for prediction and optimization for quality, productivity, and sustainability in manufacturing.</li> <li>Provides a comprehensive overview of the state-of-the-art, future directions, latest developments, and recent developments in ML for AM.</li> <li>Covers the basics of machine learning with implementation procedure and effectiveness details to provide a roadmap.</li> </ul>This book is aimed at researchers and graduate students in mechanical, manufacturing, and industrial engineering.

Machine Learning for Advanced Manufacturing

A Hands-on Approach

Programming Massively Parallel Processors

This book is aimed at addressing the needs of individuals interested in a comprehensive understanding of TOGAF. The contents of the book follow the recommended Table of Contents and are at the right level of depth as recommended by The Open Group for both the levels of Certifications.

This book is aimed at addressing the needs of individuals interested in a comprehensive understanding of TOGAF. The contents of the book follow the recommended Table of Contents and are at the right level of depth as recommended by The Open Group for both the levels of Certifications.

Study Guide for TOGAF 9.1 Certifications

The Fun Palace of Joan Littlewood and Cedric Price as a Cultural Project

Architecture, Media, Archives

Eleventh Hour CISSP®: Study Guide, Fourth Edition provides a study guide keyed directly to the most current version of the CISSP exam. This streamlined book includes only core certification information, making it ideal for last-minute studying. The main objectives of the exam are covered concisely, with key concepts highlighted. The CISSP certification is the most prestigious, globally-recognized, vendor neutral exam for information security professionals. Over 100,000 professionals are certified worldwide with many more joining their ranks. All eight domains are covered completely and concisely, giving readers the best possible chance of acing the exam. This new edition is aligned to cover all of the material in the most current version of the exam's Common Body of Knowledge.

Study Guide

Eleventh Hour CISSP®

Russia versus the West

Modern Hybrid Warfare

Mastering Cloud Computing: Foundations and Applications Programming, Second Edition is designed for readers learning to develop cloud computing applications. Today’s applications don’t live on a single computer but are deployed from and reside on a virtual server, accessible anywhere, any time. Today’s application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. The book covers all you need to develop applications for cloud architectures, including industrial platforms and security considerations. Real-world case studies and examples demonstrate the key concepts, with exercises and labs throughout the book.

Foundations and Applications Programming

Mastering Cloud Computing

Digital Design using VerilogHDL: VLSI Modeling, Coding and Verification covers the concepts of digital logic design, including, logic simplification and optimization for digital circuit synthesis and implementation, design and integration of logics (combinational and sequential) in the building of digital circuits and systems, the practical aspects of number systems, the use of VerilogHDL in the logic design, testbench verification, and the synthesis of digital circuits and systems with HDL code examples. Users will find an approach to the design, integration, verification, and synthesizing of a digital logic circuit, complete with coding examples.

VLSI Modeling, Coding and Verification

Digital Design using VerilogHDL

Cybersecurity Implications in Blockchain Architecture

Distributed Security Monitoring and Resilient Cooperative Control

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