AI-Machine Learning – alle Bücher und LPs, Seite 8

Artificial Intelligence and Machine Learning for Industry 4.0

This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manu…

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Machine Learning Models and Architectures for Biomedical Signal Processing

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates …

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Lisa Ventura
Artificial Intelligence in Cybersecurity

The rapid developments in AI mean that cyberattacks are becoming increasingly more complex and difficult to stop. Stay ahead by using AI to improve existing cybersecurity approaches and tackle these threa…

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Deep Learning and Visual Artificial Intelligence

Algorithms for Intelligent Systems

This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bika…

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Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators

This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, …

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Quantum Machine Learning

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode …

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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…

lieferbar ab 13.12.2025.

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In Silico Clinical Trials for Cardiovascular Disease

This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field…

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Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody
Reinforcement Learning for Cyber Operations

A comprehensive and up-to-date application of reinforcement learning concepts to offensive and defensive cybersecurityIn Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligenc…

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Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops

Lecture Notes in Computer Science - Band 16072

This book constitutes the refereed proceedings of 34th International Workshops which were held in conjunction with the 34th International Conference on Artificial Neural Networks and Machine Learning, ICA…

lieferbar in mind. 4 Wochen

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Andreas Tilevik
Multivariate Statistics and Machine Learning in R For Beginners

This book is more than just a book -- it is a full course designed as an interactive guide for beginners in multivariate analysis. Combining theoretical videos with practical examples in R, it offers read…

lieferbar ab 8.11.2025.

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Machine Learning for Astrophysics 2024

Astrophysics and Space Science Proceedings - Band 62

This proceedings book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed …

lieferbar ab 8.11.2025.

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Krish W. Ramadurai, Abhirup Banerjee
Machine Learning-Driven Rational Design in Nanomedicine

SpringerBriefs in Bioengineering

This book explores how machine learning is transforming nanomedicine, with a focus on the rational design of lipid nanoparticles (LNPs) for mRNA-based therapies. Moving beyond traditional, labor-intensive…

lieferbar ab 15.10.2025.

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The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25), Volume 1

Lecture Notes on Data Engineering and Communications Technologies - Band 273

This volume showcases transformative AI research addressing real-world challenges across healthcare, education, law, and digital security. Highlights include explainable deep learning for berry classifica…

lieferbar ab 28.11.2025.

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Yen-Wei Chen, Xiang Ruan, Rahul Kumar Jain
Recent Advances in Logo Detection Using Machine Learning Paradigms

This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and doma…

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Computational Intelligence for Machine Learning and Healthcare Informatics

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a uniqu…

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The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25), Volume 2

Lecture Notes on Data Engineering and Communications Technologies - Band 274

This volume explores the forefront of AI innovation in building secure, sustainable, and intelligent systems. From adaptive blockchain solutions for IoT and advances in photonic quantum computing to DNS-b…

lieferbar ab 29.11.2025.

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Methods and Applications of Artificial Intelligence

Artificial Intelligence (AI) is currently one of the most talked-about technologies, both among scientists and in public media. Several factors have contributed to its development in recent years. The fir…

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Predrag Stanimirovi¿, Yimin Wei, Shuai Li, Dimitris Gerontitis
Generalized Matrix Inversion: A Machine Learning Approach

This book presents a comprehensive exploration of the dynamical system approach in numerical linear algebra, with a special focus on computing generalized inverses, solving systems of linear equations, an…

lieferbar ab 13.12.2025.

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Anestis Antoniadis, Jairo Cugliari, Matteo Fasiolo, Yannig Goude
Statistical Learning Tools for Electricity Load Forecasting

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting. Drawing on their substant…

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