Machine Learning (ML) – alle Bücher, Seite 2

Demystifying AI and ML for Cyber-Threat Intelligence

This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in th…

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Machine Learning for Plant Biology

A comprehensive and current summary of machine learning-based strategies for constructing digital plant biologyMachine Learning for Plant Biology provides a comprehensive summary of the latest development…

lieferbar ab 1.1.2026.

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Anand Sampat, Mohamed El-Geish, Shabaz Patel
Shipping Machine Learning Systems

This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often…

lieferbar ab 31.1.2026.

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Smart Generation Computing and Communication Networks

Engineering Cyber-Physical Systems and Critical Infrastructures - Band 18

This book refers to an innovative and comprehensive convergence of modern computing systems and intelligent communication networks with latest computing technologies, including edge computing, 5G/6G netwo…

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Artificial Intelligence for Future Networks

An exploration of connected intelligent edge, artificial intelligence, and machine learning for B5G/6G architectureArtificial Intelligence for Future Networks illuminates how artificial intelligence (AI) …

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Revolutionizing Healthcare: Impact of Artificial Intelligence on Diagnosis, Treatment, and Patient Care

This book explores the transformative role of artificial intelligence (AI) in healthcare, emphasizing its shift from a futuristic concept to an essential part of modern medical systems. The articles cover…

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Application of Machine Learning in Earth Sciences

Earth and Environmental Sciences Library

This book introduces the reader to applications of machine learning (ML) in Earth Sciences. In detail, it describes the basic application of machine learning algorithms and models and their potential in E…

lieferbar ab 3.2.2026.

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Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems

This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The …

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Ali Kaveh
Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures…

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Deep Learning for Advanced X-ray Detection and Imaging Applications

This book provides a comprehensive overview of the latest advances in applying Artificial Intelligence (AI) to advanced X-ray imaging, with a particular focus on its medical applications. Readers will dis…

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Arun Gupta
The New Manufacturing Value Chain

We are in the early stages of a transformational period in our economic and digital age that will revolutionize the manufacturing value chain. As this period progresses, there will be opportunities to opt…

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National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, National Materials and Manufacturing Board, Board on Mathematical Sciences and Analytics
Statistical and Data-Driven Methods for Additive Manufacturing Qualification

Additive manufacturing (AM), the process in which a three-dimensional (3D) object is built by adding subsequent layers of materials, enables novel material compositions and shapes, often without the need …

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Chen Weidong
Next Generation Of Direct Cooling Systems For Tropics

This compendium provides a comprehensive coverage of the latest development of smart district cooling systems in the world today, starting from smart chiller and pumping control and scheduling strategies …

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Julian Sharp, Francesco Esposito, Stefano Costanzo, Martina D'Antoni
Exam Ref Ai-900 Microsoft Azure AI Fundamentals

Prepare for Microsoft Exam AI-900 and demonstrate your real-world knowledge of diverse machine learning (ML) and artificial intelligence (AI) concepts, and how they can be implemented with Microsoft Azure…

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Internet of Medicine for Smart Healthcare

This book provides in-depth explanations and discussions of the latest applications of Artificial Intelligence (AI), machine learning, and the Internet of Medicine, offering readers the cutting edge on th…

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Davide Spallazzo, Mauro Ceconello, Martina Sciannamè
User Experience + Artificial Intelligence

This open access book addresses the thriving trend of embedding artificial intelligence (AI) and machine learning (ML) capabilities in products and services reaching the lay public, focusing on the user e…

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Machine Learning Technologies on Energy Economics and Finance

This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector.It examines key factors shaping…

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Broadband Communications, Networks, and Systems

This two-volume set, LNICST 601 and LNICST 602, constitutes the refereed post-conference proceedings of the 14th International Conference on Broadband Communications, Networks, and Systems, BROADNETS 2024…

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Broadband Communications, Networks, and Systems

This two-volume set, LNICST 601 and LNICST 602, constitutes the refereed post-conference proceedings of the 14th International Conference on Broadband Communications, Networks, and Systems, BROADNETS 2024…

lieferbar innerhalb 2-3 Wochen

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Ali Othman Albaji
Machine Learning for Environmental Noise Classification in Smart Cities

We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated t…

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