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Oleksandr Kuznetsov
Intelligent Systems: From Theory to Applications

Cognitive Technologies

The field of Artificial Intelligence has seen explosive growth in recent years, yet a persistent challenge remains, namely bridging the gap between theoretical concepts and practical implementation. Too o…

lieferbar innerhalb 2-3 Wochen

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Bikram Pratim Bhuyan, Amylia Ait Saadi, Yassine Meraihi, Amar Ramdane-Cherif
Scientific Machine Learning

This book highlights and addresses a crucial need in the emerging field of Scientific Machine Learning (SciML) by offering a comprehensive and accessible guide that blends theory, algorithms, and applicat…

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Yang Yu, Hong Qian, Yi-Qi Hu
Derivative-Free Optimization

Machine Learning: Foundations, Methodologies, and Applications

This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and opti…

lieferbar innerhalb 2-3 Wochen

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Graph Neural Network Training

Machine Learning: Foundations, Methodologies, and Applications

Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, a…

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Huaping Liu, Xinzhu Liu, Kangyao Huang, Di Guo
Embodied Multi-Agent Systems

Machine Learning: Foundations, Methodologies, and Applications

In recent years, embodied multi-agent systems, including multi-robots, have emerged as essential solution for demanding tasks such as search and rescue, environmental monitoring, and space exploration. Ef…

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Jeremiah D. Deng
Machine Learning with Julia

Machine Learning: Foundations, Methodologies, and Applications

This textbook offers a comprehensive and accessible introduction to machine learning with the Julia programming language. It bridges mathematical theory and real-world practice, guiding readers through bo…

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Yanghui Rao, Qing Li
Topic Modeling

Machine Learning: Foundations, Methodologies, and Applications

As a well-known text mining tool, topic modeling can effectively discover the latent semantic structure of text data. Extracting topics from documents is also one of the fundamental challenges in natural …

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Fengxiang He, Dacheng Tao
Foundations of Deep Learning

Machine Learning: Foundations, Methodologies, and Applications

Deep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. The excellent generalizability of deep learning is like a &…

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Constrained Control and Machine Learning

Internet of Things

This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. Th…

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Uncertainty, Optimization and Machine Learning with Applications

Mathematics for Sustainable Developments

This book is a collection of select chapters on topics related to uncertainty, optimization techniques and machine learning applications, emphasizing applications that directly address topics related to f…

lieferbar ab 28.10.2026.

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Tiny Machine Learning: Design Principles and Applications

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and developmentIn Tiny Machine Learning: Design Principles and Applications, a te…

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IoT and Machine Learning for Smart Applications

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine lea…

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Machine Learning and Its Applications to Healthcare

Mathematics for Sustainable Developments

This book offers a comprehensive collection of 35 research contributions on the transformative role of soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and hybrid method…

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Machine Learning and AI Technology for Agricultural Applications

Feeding a growing global population with a changing climate, shrinking arable land, and increasingly strained water resources is a challenge with no single solution. Machine Learning and AI Technology in …

lieferbar ab 1.11.2026.

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Artificial Intelligence and Machine Learning Applications for Sustainable Development

The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discuss…

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Cybernetics, Human Cognition, and Machine Learning in Communicative Applications

Cognitive Science and Technology

This book presents the fascinating intersection of human cognition and artificial intelligence. Written by leading experts in the fields of cybernetics, cognitive science, and machine learning, this book …

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Analytics Modeling in Reliability and Machine Learning and Its Applications

Springer Series in Reliability Engineering

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications

Contributions to Environmental Sciences & Innovative Business Technology

This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorith…

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Foundations and Advances of Machine Learning in Official Statistics

Society, Environment and Statistics

This Open access book gives an overview of current research and developments on the incorporation of machine learning in official statistics. It covers methodological questions, practical aspects and cros…

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Tsutomu T Takeuchi
Applications of Big Data and Machine Learning in Galaxy Formation and Evolution

As investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-of-the-art data scientific methods to analyze them. This book provides a practical int…

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