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Sprache: Englisch
Verlag: Bentham Science Publishers, 2025
ISBN 10: 9815305565 ISBN 13: 9789815305562
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In den WarenkorbPaperback. Zustand: Brand New. 388 pages. 9.26x6.10x0.80 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. 387 pages. 6.10x9.25x0.79 inches. In Stock.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2024
ISBN 10: 3031717287 ISBN 13: 9783031717284
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Taschenbuch. Zustand: Neu. Sustainable Development through Machine Learning, AI and IoT | Third International Conference, ICSD 2025, New Delhi, India, June 14-15, 2025, Proceedings, Part I | Pawan Whig (u. a.) | Taschenbuch | Communications in Computer and Information Science | xiii | Englisch | 2026 | Springer | EAN 9783032192387 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Sustainable Development through Machine Learning, AI and IoT | Third International Conference, ICSD 2025, New Delhi, India, June 14-15, 2025, Proceedings, Part II | Pawan Whig (u. a.) | Taschenbuch | Communications in Computer and Information Science | xiii | Englisch | 2026 | Springer | EAN 9783032192417 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume set CCIS 2887-2888 constitutes the refereed proceedings of the Third International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2025, held in New Delhi, India, during June 14-15, 2025.The 56 full papers include in these volumes were carefully reviewed and selected from 252 submissions. They provide a comprehensive overview of recent research trends and technological advancements in sustainable development enabled by machine learning, artificial intelligence, and IoT. The contributions cover a broad spectrum of application domains, including energy-efficient and intelligent systems, smart and sustainable cities, environmental monitoring and protection, agriculture and food systems, and innovative healthcare solutions.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume set CCIS 2887-2888 constitutes the refereed proceedings of the Third International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2025, held in New Delhi, India, during June 14-15, 2025.The 56 full papers include in these volumes were carefully reviewed and selected from 252 submissions. They provide a comprehensive overview of recent research trends and technological advancements in sustainable development enabled by machine learning, artificial intelligence, and IoT. The contributions cover a broad spectrum of application domains, including energy-efficient and intelligent systems, smart and sustainable cities, environmental monitoring and protection, agriculture and food systems, and innovative healthcare solutions.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15-16, 2023.The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.
Taschenbuch. Zustand: Neu. Sustainable Development through Machine Learning, AI and IoT | Second International Conference, ICSD 2024, Virtual Event, April 27-28, 2024, Proceedings | Pawan Whig (u. a.) | Taschenbuch | Communications in Computer and Information Science | xii | Englisch | 2024 | Springer | EAN 9783031717284 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second International Conference onSustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27-28, 2024.The38full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations.
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 388 | Sprache: Englisch | Produktart: Bücher | This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15¿16, 2023.The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. Pawan Whig, a leading expert in artificial intelligence and machine learning, is dedicated to advancing sustainable development. Dr. Whig s groundbreaking research and publications inspire innovative solutions for a greener, more equitable future.
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In den WarenkorbHardcover. Zustand: Brand New. 280 pages. 10.00x7.00x10.00 inches. In Stock.
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains the technologies and tools that underpin GNNs, offering a clear and practical guide to their industrial applications and use cases. AI engineers, data scientists, and researchers in AI and graph theory will find detailed insights into the latest trends and innovations driving this dynamic field. With practical chapters demonstrating how GNNs are reshaping various industry verticals and how they complement advances in generative, agentic, and physical AI this book is an essential resource for understanding and leveraging their potential.The neural network paradigm has surged in popularity for its ability to uncover hidden patterns within vast datasets. This transformative technology has spurred global innovations, particularly through the evolution of deep neural networks (DNNs). Convolutional neural networks (CNNs) have revolutionized computer vision, while recurrent neural networks (RNNs) and their advanced variants have automated natural language processing tasks such as speech recognition, translation, and content generation.Traditional DNNs primarily handle Euclidean data, yet many real-world problems involve non-Euclidean data complex relationships and interactions naturally represented as graphs. This challenge has driven the rise of graph neural networks (GNNs), an approach that extends deep learning into new domains.GNNs are powerful models designed to work with graph-structured data, where nodes represent individual data points and edges denote the relationships between them. Several variants have emerged:Graph Convolutional Networks (GCNs): These networks learn from a node s local neighborhood by aggregating information from adjacent nodes, updating the node s representation in the process.Graph Attentional Networks (GATs): By incorporating attention mechanisms, GATs focus on the most relevant neighbors during aggregation, enhancing model performance.Graph Recurrent Networks (GRNs): These networks combine principles from RNNs with graph structures to capture dynamic relationships within the data.GNNs are applied in a variety of advanced use cases, including node classification, link prediction, graph clustering, anomaly detection, recommendation systems, and also in natural language processing and computer vision. They help forecast traffic patterns, analyze molecular structures, verify programs, predict social influence, model electronic health records, and map brain networks.
Sprache: Englisch
Verlag: Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1041037791 ISBN 13: 9781041037798
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Quantum Learning: Bridging Artificial Intelligence, Quantum Computing, and Data Science in Education explores the transformative intersection of three revolutionary technologies reshaping the future of learning. The concept of quantum learning provides a paradigm where quantum principles redefine machine learning models, enhance computational speed, and enable novel personalized education systems.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2025
ISBN 10: 3031885376 ISBN 13: 9783031885372
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 437 pages. 9.26x6.11x9.21 inches. In Stock.
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