Machinelearning, – Bücher, LPs, CDs und mehr, Seite 10

Advancing VLSI through Machine Learning

This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design a…

lieferbar ab 20.7.2026.

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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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Machine Learning for Drone-Enabled IoT Networks

Advances in Science, Technology & Innovation

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aer…

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Fadele Ayotunde Alaba, Alvaro Rocha
Malware Detection on Smart Wearables Using Machine Learning Algorithms

Studies in Systems, Decision and Control - Band 549

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the…

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Handbook of Artificial Intelligence and Machine Learning in Decision Making

Springer Optimization and Its Applications

This volume presents a collection of invited chapters covering a broad range of perspectives on AI and decision-making. The scope is broad, and the potential impact is expected to be broader. Therefore, t…

lieferbar ab 17.8.2026.

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Reema Gupta, Sandeep Kumar Samota, Snehashish Chakraverty
Computational Differential Equations with AI

Synthesis Lectures on Mathematics & Statistics

This book provides cutting-edge machine learning (ML) methods, including Physics-Informed Neural Networks (PINNs), Neural Operators, and other ML methods, for solving ordinary differential equations (ODEs…

lieferbar ab 12.8.2026.

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Morphological Diagnosis in Hematology

This book presents a unique collection of carefully selected clinical case studies that bridge classical morphological examination with the power of artificial intelligence in diagnostic hematology.Each c…

lieferbar ab 19.7.2026.

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Cem Ünsalan, Berkan Höke, Eren Atmaca
Embedded Machine Learning with Microcontrollers

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning metho…

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R. Kelly Rainer
Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code

Helps students unlock the power of AI and Machine Learning to achieve business success and future-proof their careersArtificial intelligence and machine learning are transforming the modern workplace, mak…

lieferbar in mind. 4 Wochen

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Proceedings of 17th International Conference on Machine Learning and Computing

Lecture Notes in Networks and Systems - Band 1475

This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, …

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Tinyml

Stay at the forefront of the embedded AI revolution by mastering the specialized hardware and software strategies needed to bring high-performance machine learning to the world's most resource-constrained…

lieferbar ab 10.11.2026.

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Jinjin Li, Yanqiang Han
Machine Learning in Protein Science

Harness the power of machine learning for quick and efficient calculations of protein structures and propertiesMachine Learning in Protein Science is a unique and practical reference that shows how to emp…

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M Z Naser
Machine Learning in Civil Engineering and Infrastructure Development

Machine Learning in Civil Engineering and Infrastructure Development: A Practitioner's Handbook is a practitioner-oriented handbook that demonstrates, through diverse real-world examples, how civil engine…

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Timon Rabczuk, Cosmin Anitescu, Somdatta Goswami, Xiaoying Zhuang
Scientific Machine Learning with Engineering Applications

Studies in Systems, Decision and Control - Band 667

This book equips readers with a rigorous and practical framework for solving complex engineering problems directly from governing equations using modern machine learning techniques. It bridges established…

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Artificial Intelligence and Machine Learning for Sustainable Development

Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the f…

lieferbar ab 20.7.2026.

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Machine Learning for Radio Resource Management and Optimization in 5G and Beyond

Machine Learning for Radio Resource Management and Optimization in 5G and Beyondhighlights a new line of research that uses innovative technologies and methods based on artificial intelligence/machine lea…

lieferbar ab 20.7.2026.

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Pedagogies of Machine Learning

The fourth edition of Schools of Departure is devoted to the use of technology in post-Bauhaus design education: in the second half of the twentieth century, universities and research institutions were sw…

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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…

lieferbar ab 20.7.2026.

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Namrata Manohar, Mousmi Ajay Chaurasia, Stefan Mozar, Chia-Feng Juang
Machine Learning Applications in Renewable Energy

This book presents the need for Renewable Energy Technologies (RET) in the context of providing a solution for the depletion of conventional resources, protecting the environment and enhancing the economi…

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Debashish Das, Ali Safaa Sadiq, Seyedali Mirjalili
Optimization Algorithms in Machine Learning

Engineering Optimization: Methods and Applications

This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, g…

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