Practical Digital Forensics: A Guide for Windows and Linux Users is a comprehensive resource for novice and experienced digital forensics investigators. This guide offers detailed step-by-step instructions, case studies, and real-world examples to help readers conduct investigations on both Windows and Linux operating systems. It covers essential topics such as configuring a forensic lab, live system analysis, file system and registry analysis, network forensics, and anti-forensic techniques. The book is designed to equip professionals with the skills to extract and analyze digital evidence, all while navigating the complexities of modern cybercrime and digital investigations. Key Features: - Forensic principles for both Linux and Windows environments. - Detailed instructions on file system forensics, volatile data acquisition, and network traffic analysis. - Advanced techniques for web browser and registry forensics. - Addresses anti-forensics tactics and reporting strategies.

The Future of Computing: Ubiquitous Applications and Technologies explores the transformative power of ubiquitous computing across diverse fields, from healthcare and smart grids to home automation and digital forensics. Ubiquitous computing, which seamlessly integrates computing into everyday life, is reshaping industries and addressing significant challenges, such as data security, digital payments, and IoT optimization. This book provides expert insights and practical approaches, covering topics such as automated medical imaging, federated cloud assessments, smart grid security, and AI-driven control systems. Key Features: - Foundational and advanced concepts of ubiquitous computing across multiple industries. - Security structures in IoT, AI applications, and data privacy. - Real-world applications, including healthcare automation, smart homes, and digital forensics. - Case studies on emerging trends in IoT, AIoT, and smart grid security.

Metal Complexes: Environmental and Biomedical Applications offers a comprehensive exploration of the role of metal complexes in diverse fields, including biomedicine, energy, and environmental protection. This book provides insights into the synthesis, properties, and applications of metal complexes, covering topics such as their use in therapeutics, diagnostics, energy materials, and catalysis. It also examines their antibacterial, antifungal, and sensor applications. With a systematic approach, the book is ideal for students, researchers, and professionals interested in the growing relevance of metal complexes in scientific and industrial applications. Key Features: - Overview of metal complexes and oxidation states. - Synthesis of metal complexes from N-heterocyclic carbene and Schiff base ligands. - Biomedical applications, including therapeutics and diagnostics. - Use of metal complexes in energy storage and catalysis. - Applications in antibacterial and antifungal treatments. - Metal complexes as sensors and in analytical chemistry.

Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning explores the evolving role of AI in education, covering applications in fields such as bioinformatics, environmental science, physics, chemistry, economics, and language learning. Written by experts, this book provides a comprehensive overview of AI's integration into diverse subjects, offering insights into the future of AI in education and its potential to enhance academic research and pedagogy. Targeted at faculty, students, and professionals, the book addresses AI's role in blended learning environments and offers practical tools for educators seeking to incorporate AI into their teaching practices. Key Features: - Multidisciplinary exploration of AI in teaching and learning. - Practical tools and methodologies for educators. - Insights into AI-driven innovations in research. - Relevant to a broad audience, from students to professionals.

Smart Home and Industrial IoT Devices: Critical Perspectives on Cyber Threats, Frameworks and Protocols provides an in-depth examination of the Internet of Things (IoT) and its profound impact on smart homes and industrial systems. The book begins by exploring the significance of IoT in smart homes, followed by an analysis of emerging cyber threats targeting smart homes and cyber-physical systems. It presents AI and machine learning-based frameworks for monitoring water quality and managing irrigation in agriculture, highlighting their role in IoT ecosystems. The text also discusses a framework to mitigate cyber-attacks on robotic systems and introduces a multinomial naive Bayesian classifier for analyzing smart IoT devices. Dataflow analysis and modeling experiments are detailed, along with a comparison of IoT communication protocols using anomaly detection and security assessment. The book concludes with a discussion on efficient, lightweight intrusion detection systems and a unique taxonomy for IoT frameworks. This book is ideal for students, researchers, and professionals seeking to understand and secure IoT environments.

This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing, setting the stage for practical applications. Chapters focus on AI and ML applications such as fingerprint recognition, glaucoma detection, and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design, event detection, and content analysis. Additionally, the book includes content that examines AI's impact on technical operations wireless communication, VLSI systems, and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers. This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries.

This book is an essential guide to analysis and design of tall buildings and foundations. The book covers the basic consideration of tall buildings, selection of a suitable structural form, structural materials, and analytical methods for several types of construction loadings. The last chapter of this book presents an illustrated case study for learners. An appendix of different structural analysis calculations rounds up the book. The detailed analysis and learning material presented in the book is intended to enable readers to master the basics and understand how to execute practical civil engineering projects. Key features: - Covers the essentials of skyscraper design and construction in detail with a focus on learning. - Covers building modelling parameters and criteria with design reports and computer inputs. - Includes analysis and notes for foundation layout, loadings and the excavation and lateral support system (ELS). - Includes more than 250 detailed illustrations of concepts, construction plans and photos from real projects. - Includes references and appendices for advanced readers. - Includes more details than most of the similar texts, with practical guidelines based on references from many buildings and foundation projects. The authors have extensive research and practical experience of buildings and foundation analysis and design in Hong Kong, and have actively served as regional engineering committee members overseeing structural and foundation disciplines.

Robotics and Automation in Industry 4.0 explores the transformative role of robotics, automation, and emerging technologies in the modern industrial landscape. The book is divided into four comprehensive sections, each focusing on key areas of Industry 4.0. These are: 1) Robotics: Applications and Advancements, 2) Renewable Energy Applications, 3), FinTech, and 4) Multidisciplinary approaches. It compiles 13 chapters offering insights into the latest advancements and provides practical guidance for navigating the evolving industrial landscape.

Smart Kinematics for Modern Engineering Students is an essential reference on basic kinematics. The book provides detailed knowledge on coordinate transformations for matrix calculations, followed by information about different configurations in component pairs and joints. Readers will learn about the basic mechanical engineering methods used to design components for systems with moving parts along with various practical applications of these concepts. Key Features - Provides-In-depth knowledge of 3D vector calculations in kinematics - Includes descriptions and depictions of major joints commonly used in engineering designs and applications - Discusses common methods of optimization for solving multivariable systems of highly nonlinear equations using displacement models - Presents practical examples of analysis applied to commonly used mechanical system - 6 DOF robotic arm and moving platform - A generic Light Manufacturing Tool (LMT) - Phantom DOF devices - Temporomandibular joint (TMJ) as a biomechanical joint - Include scientific references The material in this book will be helpful to undergraduate and graduate engineers who are required to understand knowledge about modern methods in mechanical engineering, including prerequisite courses in advanced linear algebra, kinematics and complex systems.

This handbook provides a comprehensive understanding of computational linguistics, focusing on the integration of deep learning in natural language processing (NLP). 18 edited chapters cover the state-of-the-art theoretical and experimental research on NLP, offering insights into advanced models and recent applications. Highlights: - Foundations of NLP: Provides an in-depth study of natural language processing, including basics, challenges, and applications. - Advanced NLP Techniques: Explores recent advancements in text summarization, machine translation, and deep learning applications in NLP. - Practical Applications: Demonstrates use cases on text identification from hazy images, speech-to-sign language translation, and word sense disambiguation using deep learning. - Future Directions: Includes discussions on the future of NLP, including transfer learning, beyond syntax and semantics, and emerging challenges. Key Features: - Comprehensive coverage of NLP and deep learning integration. - Practical insights into real-world applications - Detailed exploration of recent research and advancements through 16 easy to read chapters - References and notes on experimental methods used for advanced readers Ideal for researchers, students, and professionals, this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text, language and speech.