Computational Intelligence and its Applications explores cutting-edge advancements in machine learning, data science, and their practical applications. This comprehensive guide caters to college students, researchers, and professionals equipping readers with the knowledge to navigate and leverage the latest trends in computational intelligence effectively. Key Features: - Emerging Technologies: Covers post-quantum cryptography, secure communication, and advancements in chatbot technology. - Practical Applications: Includes stock price prediction, cloud computing, and data-driven DNA sequencing. - Security and Detection: Enhances intrusion detection and analyzes crop disease using machine learning. - Natural Language Processing: Explores sentiment analysis and the impact of big data on natural language processing. - Advanced Techniques: Discusses blockchain technology, remote sensing, and depression detection on social media.

Demystifying Emerging Trends in Machine Learning (Volume 2) offers a deep dive into emerging and trending topics in the field of machine learning (ML). This edited volume showcases several machine learning methods for a variety of tasks. A key focus of this volume is the application of text classification for cybersecurity, E-commerce, sentiment analysis, public health and web content analysis. The 49 chapters highlight a wide variety of machine learning methods including SVNs, K-Means Clustering, CNNs, DCNNs, among others. Each chapter includes accessible information through summaries, discussions and reference lists. This comprehensive volume is essential for students, researchers, and professionals eager to understand the emerging trends reshaping machine learning today.

Blockchain-Enabled Internet of Things Applications in Healthcare: Current Practices and Future Directions examines cutting-edge applications, from blockchain-powered IoT innovations in healthcare systems to intelligent health profile management, remote patient monitoring, and healthcare credential verification. Additionally, the book extends its insights into blockchain-enabled IoT applications in smart agriculture, highlighting AI-driven technologies for health management and sustainable practices. With expert analyses, case studies, and practical guidance, this book offers readers a roadmap for implementing these technologies to improve efficiency, security, and data management in healthcare. It is an invaluable resource for industry professionals, researchers, and students interested in the future of healthcare technology. Key Features: - Exploration of blockchain and IoT applications in healthcare and agriculture - In-depth case studies and expert analyses - Practical insights into technology challenges and benefits

Data Management and Security in Blockchain Systems offers a comprehensive exploration of how blockchain technology is reshaping the landscape of data management and security. This book addresses key aspects of blockchain-based systems, including data integrity, transparency, and tamper resistance, making it an essential resource for students, researchers, and professionals. Covering topics from blockchain-enabled IoT traffic management to the integration of AI for enhanced security, this book presents solutions to current challenges such as cyberattacks, smart grid security, and scalable network designs. Each chapter is thoughtfully structured to provide readers with a solid understanding of blockchain applications in diverse domains. Perfect for those seeking to understand blockchain’s potential to secure and manage data in an increasingly interconnected world. Key Features: - Comprehensive overview of data management and security in blockchain networks. - Practical insights into IoT, smart grids, and AI integration. - In-depth analysis of cybersecurity challenges and solutions.

Artificial Intelligence Development in Sensors and Computer Vision for Health Care and Automation Application explores the power of artificial intelligence (AI) in advancing sensor technologies and computer vision for healthcare and automation. Covering both machine learning (ML) and deep learning (DL) techniques, the book demonstrates how AI optimizes prediction, classification, and data visualization through sensors like IMU, Lidar, and Radar. Early chapters examine AI applications in object detection, self-driving vehicles, human activity recognition, and robot automation, featuring reinforcement learning and simultaneous localization and mapping (SLAM) for autonomous systems. The book also addresses computer vision techniques in healthcare and automotive fields, including human pose estimation for rehabilitation and ML in augmented reality (AR) for automotive design. This comprehensive guide provides essential insights for researchers, engineers, and professionals in AI, robotics, and sensor technology. Key Features: - In-depth coverage of AI-driven sensor innovations for healthcare and automation. - Applications of SLAM and reinforcement learning in autonomous systems. - Use of computer vision in rehabilitation and vehicle automation. - Techniques for managing prediction uncertainty in AI models.

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.