Machine Learning Approaches in Composites – alle Bücher und CDs, Seite 2

Xiang-Sheng Wang, Chisheng Wang
Machine Learning in Data Processing

Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is esse…

lieferbar innerhalb 2-3 Wochen

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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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Machine Learning and Deep Learning in Drug Design

Machine learning (ML) and deep learning (DL) are reshaping the landscape of drug design. This comprehensive volume explores how these technologies are applied across the entire drug discovery pipeline--fr…

lieferbar innerhalb 1-2 Wochen

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Oliver de Candido, Michael Koller
Machine Learning in Safety-Critical Applications

Designed as a jumping-off point for engineers and decision-makers, this book provides a broad view of machine learning safety. It gives a validation road-map for developers and users of safety-critical sy…

lieferbar ab 8.2.2027.

Buch

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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Hasan Ali Gamal Al-Kaf, Kyo-Beum Lee
Machine Learning Integration in Power Electronics

This book provides a comprehensive guide for integrating machine learning techniques to enhance power electronic systems, with a focus on real-time applications, fault detection, and advanced control syst…

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Machine Learning Methods in Biomedical Field

This book provides an in-depth exploration of machine learning techniques and their biomedical applications, particularly in developing intelligent computer-aided diagnostic systems, creating groundbreaki…

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Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Bayesian Machine Learning in Quantitative Finance

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative fi…

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Advances in Distributed Computing and Machine Learning

Lecture Notes in Networks and Systems - Band 1956

This book is a collection of peer-reviewed best-selected research papers presented at the Seventh International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2026), organiz…

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Advances in Artificial Intelligence and Machine Learning

Lecture Notes in Electrical Engineering - Band 1264

This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning-ICAAAIML 2023. The book covers rese…

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Kai Li, Xin Yuan, Wei Ni
Security and Resilience in Distributed Machine Learning

Springer Series in Reliability Engineering

This book offers a comprehensive exploration of federated learning (FL), a novel approach to decentralized, privacy-preserving machine learning. This book delves into the resilience and security challenge…

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Buch

Md. Jalil Piran
Linear Algebra with Applications in Machine Learning

This textbook is a comprehensive, application-driven guide to mastering linear algebra from foundational principles to advanced machine learning applications. Designed for students, researchers, and profe…

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Advances in Artificial Intelligence and Machine Learning

Lecture Notes in Electrical Engineering - Band 1335

This book features papers from the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning (ERCICAM 2024). It serves as an int…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

lieferbar innerhalb 2-3 Wochen

Buch

Advances in Distributed Computing and Machine Learning

Lecture Notes in Networks and Systems - Band 1955

This book is a collection of peer-reviewed best-selected research papers presented at the Seventh International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2026), organiz…

lieferbar innerhalb 2-3 Wochen

Buch

James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

lieferbar innerhalb 2-3 Wochen

Buch

Advancements in Artificial Intelligence and Machine Learning

Lecture Notes in Electrical Engineering - Band 1572

This volume presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning (ERCICAM 2025). The book c…

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Hugh M Cartwright
How to Use Machine Learning in Chemistry

Machine learning and artificial intelligence are hot topics across the sciences but what are they? How do machines learn and how can we apply them to problems in the chemical sciences?Written as a primer …

lieferbar in mind. 4 Wochen

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Machine Learning and Mathematical Models in Evolutionary Biology

The book discusses the advantages of using mathematical modeling and machine learning in the context of the evolutionary biology domain to gain knowledge and develop further. It discusses the background i…

lieferbar ab 24.2.2027.

Buch

Mohammad Abdul Matin, M. Rezwanul Mahmood
Machine Learning in Next Generation Multiple Access (NGMA)

Synthesis Lectures on Communications

This book equips readers with the conceptual and practical knowledge they need to put into practice the design, development, and management of the next generation multiple access / non-orthogonal multiple…

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