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Author: Pandey, Digvijay
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 678
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Book Description
Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more.
Author: Pandey, Digvijay
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 678
Get Book Here
Book Description
Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more.
Author: Gurjit Kaur
Publisher: Academic Press
ISBN: 0128185767
Category : Science
Languages : en
Pages : 428
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Book Description
Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.
Author: Muralidhar Kurni
Publisher: Springer Nature
ISBN: 3031673875
Category :
Languages : en
Pages : 269
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Book Description
Author: Yu, Poshan
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 378
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Book Description
Chatbots powered by artificial intelligence (AI) have captivated the academic world as tools for human-like interaction across various settings. Within the realm of education, AI-powered chatbots, such as ChatGPT, hold the potential to revolutionize teaching, learning, and research processes. By simulating human conversation through vast data and machine learning algorithms, generative AI has unveiled new opportunities for personalized and adaptive learning experiences. Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI delves into the promising prospects and challenges of applying generative AI in education while employing a critical interdisciplinary perspective. The book offers comprehensive insights into the transformative effects of generative AI on teaching, learning, and research. However, the application of generative AI in education also brings ethical, pedagogical, and technical challenges to the forefront. Concerns over privacy, data protection, and the impact of automation on human interaction and creativity demand thorough examination and practical solutions. Intended for educators, researchers, and administrators in higher education institutions, as well as policymakers and industry professionals at the intersection of AI and higher education. The book encompasses a wide range of themes, including the impact of AI-generated content on student engagement and performance in online learning environments, ethical implications of automating education through AI-powered chatbots, personalization of learning experiences for diverse student populations, and the challenges of integrating generative AI into traditional classroom settings.
Author: Andrew D. Chapman
Publisher: The Autodidact’s Toolkit
ISBN:
Category : Science
Languages : en
Pages : 218
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Book Description
At its core, systems theory is an interdisciplinary framework for understanding the complex and interconnected nature of various elements within a system. It transcends traditional approaches that focus on individual components, advocating for a holistic perspective. Systems theory examines how parts of a system interact, influence each other, and contribute to the system’s overall behavior and outcomes. This approach is crucial in today’s world, where challenges are increasingly complex and interlinked, requiring solutions that consider the entirety of the system. Understanding Systems Theory is tailored for a broad audience. It serves as an essential resource for students across disciplines such as business, engineering, social sciences, and environmental studies, providing a foundational understanding of systems thinking. For academics and researchers, it offers in-depth analyses and the latest developments in systems theory. Professionals and practitioners will find practical applications and strategies to address systemic challenges in their respective fields, from organizational management to environmental sustainability. This book demystifies systems theory, breaking it down into digestible concepts, illustrated with real-world examples and case studies. It systematically guides the reader through the key principles, methodologies, and applications of systems thinking. Each chapter is crafted to build upon the previous one, gradually deepening the reader’s understanding while maintaining clarity and accessibility. Understanding Systems Theory is organized into ten distinct but interconnected parts, each focusing on a different aspect of systems theory: Introduction to Systems Theory: Laying the foundational concepts and significance of systems thinking Foundations of Systems Theory: Delving into the core principles and elements that constitute systems System Modeling and Analysis: Exploring methodologies and tools for modeling and analyzing systems Systems in Various Domains: Applying systems theory across different sectors and disciplines Advanced Systems Theory Concepts: Discussing more complex and emerging ideas in systems theory Systems Thinking Tools and Techniques: Providing practical tools and techniques for implementing systems thinking Organizational Systems and Change: Focusing on the application of systems theory in organizational contexts Contemporary Issues in Systems Theory: Addressing modern challenges and the role of systems thinking in resolving them Systems Theory in Research and Education: Exploring the role of systems theory in academic research and educational curricula Applied Systems Theory: Demonstrating the practical applications of systems theory in various real-world scenarios Each part consists of carefully structured chapters that progress from fundamental concepts to more advanced topics, ensuring a comprehensive understanding of systems theory and its vast applicability. We invite you on this journey through Understanding Systems Theory, confident that it will enrich your perspective and equip you with the tools to think and act systemically in an increasingly interconnected world.
Author: Nidhi Gupta
Publisher: CRC Press
ISBN: 1000992993
Category : Computers
Languages : en
Pages : 236
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Book Description
This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT. Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing. KEY FEATURES: • Includes fundamental concepts towards advanced applications in machine learning and IoT. • Discusses potential and challenges of machine learning for IoT and optimization • Reviews recent advancements in diverse researches on computer vision, networking and optimization field. • Presents latest technologies such as machine learning in image processing and IoT This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.
Author: Nitin Goyal
Publisher: Cambridge Scholars Publishing
ISBN: 1036411079
Category : Computers
Languages : en
Pages : 462
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Book Description
This book delves into the dynamic synergy between AI and IoT, offering a comprehensive exploration of their transformative potential. With a keen eye on the present and future landscapes, this book navigates through real-world applications, showcasing how AI enriches IoT ecosystems, amplifying their capabilities across diverse sectors. From smart homes and cities to industrial automation and healthcare, each chapter unfolds compelling case studies illustrating how AI augments IoT devices to optimize processes, enhance decision-making, and drive innovation. As the technological horizon expands, the book anticipates emerging trends, paving the way for readers to grasp the profound impact AI will continue to wield on the IoT landscape. Whether you're a seasoned professional or an enthusiast curious about the intersection of AI and IoT, this book offers invaluable insights into the boundless opportunities that await in today's interconnected world and the possibilities that lie ahead.
Author: Madhumathy P
Publisher: CRC Press
ISBN: 1000484963
Category : Computers
Languages : en
Pages : 243
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Book Description
The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3031632273
Category :
Languages : en
Pages : 512
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Book Description
Author: Baumann, Sabine
Publisher: Edward Elgar Publishing
ISBN: 1839107197
Category : Business & Economics
Languages : en
Pages : 784
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Book Description
This timely Handbook on Digital Business Ecosystems provides a comprehensive overview of current research and industrial applications as well as suggestions for future developments. Multi-disciplinary in scope, the Handbook includes rigorously researched contributions from over 80 global expert authors from a variety of areas including administration and management, economics, computer science, industrial engineering, and media and communication.
