Pioneering Ai And Data Technologies For Next Gen Security Iot And Smart Ecosystems
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Pioneering AI and Data Technologies for Next-Gen Security, IoT, and Smart Ecosystems
Author: John Joseph, Ferdin Joe
language: en
Publisher: IGI Global
Release Date: 2025-06-24
Pioneering AI and data technologies redefines next-generation security, Internet of Things (IoT), and smart ecosystems. By integrating intelligent algorithms with real-time data, these technologies enable more responsive, adaptive, and predictive systems across urban infrastructure, industrial environments, and connected devices. In security, AI strengthens threat detection and response, while in IoT, it enhances smarter automation and efficient resource management. Together with advanced data analytics, these innovations drive interconnected ecosystems that are more intelligent and secure, as well as more sustainable and resilient when facing global challenges. Pioneering AI and Data Technologies for Next-Gen Security, IoT, and Smart Ecosystems explores the integration of intelligent technologies into security, automation, and smart business sectors. It presents solutions for enhanced threat detection, data analysis, and predictive maintenance. This book covers topics such as digital technology, cloud computing, and deep learning, and is a useful resource for computer engineers, security professionals, business owners, academicians, researchers, and data scientists.
Machine Intelligence, Big Data Analytics, and IoT in Image Processing
MACHINE INTELLIGENCE, BIG DATA ANALYTICS, AND IoT IN IMAGE PROCESSING Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation. The concepts of machine intelligence, big data analytics, and the Internet of Things (IoT) continue to improve our lives through various cutting-edge applications such as disease detection in real-time, crop yield prediction, smart parking, and so forth. The transformative effects of these technologies are life-changing because they play an important role in demystifying smart healthcare, plant pathology, and smart city/village planning, design and development. This book presents a cross-disciplinary perspective on the practical applications of machine intelligence, big data analytics, and IoT by compiling cutting-edge research and insights from researchers, academicians, and practitioners worldwide. It identifies and discusses various advanced technologies, such as artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors, to provide effective solutions to the lifestyle challenges faced by humankind. Machine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies. This deliberate choice of covering a diversity of fields was to emphasize the applications of these technologies in almost every contemporary aspect of real life to assist working in different sectors by understanding and exploiting the strategic opportunities offered by these technologies. Audience The book will be of interest to a range of researchers and scientists in artificial intelligence who work on practical applications using machine learning, big data analytics, natural language processing, pattern recognition, and IoT by analyzing images. Software developers, industry specialists, and policymakers in medicine, agriculture, smart cities development, transportation, etc. will find this book exceedingly useful.
Industrial Applications of Big Data, AI, and Blockchain
Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. 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. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.