Machine Learning Techniques – alle Bücher, Seite 2

Pattern Recognition

This book constitutes the proceedings of the 17th Mexican Conference on Pattern Recognition, MCPR 2025, held in Guanajuato, Mexico, during June 25--28, 2025.The 36 full papers presented in this volume wer…

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Leon Herrmann, Moritz Jokeit, Oliver Weeger, Stefan Kollmannsberger
Deep Learning in Computational Mechanics

This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics…

lieferbar ab 24.8.2025.

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Machine Learning for Astrophysics 2024

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 6.11.2025.

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Internet of Everything for Smart City and Smart Healthcare Applications

This book provides an insight on the importance that the Internet of Things (IoT) and Information and Communication Technology (ICT) solutions can offer towards smart city and healthcare applications. The…

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Bachman
Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities

Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities explores cutting-edge methods for identifying speaker states using diverse data inputs. Beyond traditional e…

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How Machine Learning Is Innovating Today's World

Provides a comprehensive understanding of the latest advancements and practical applications of machine learning techniques.Machine learning (ML), a branch of artificial intelligence, has gained tremendou…

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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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Aznarul Islam, Sadik Mahammad
Palaeochannels and Water Resource Management

This book characterizes palaeochannels and their hydrological properties in the Western Bengal Delta (Damodar Fan Delta) to help understand palaeochannel development, with the goal of better informing sus…

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Dan Zhu, Xuemin Shen (Sherman), Dengguo Feng
Privacy-Preserving Techniques with e-Healthcare Applications

This book investigates novel accurate and efficient privacy-preserving techniques and their applications in e-Healthcare services. The authors first provide an overview and a general architecture of e-Hea…

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Shixia Liu, Jun Yuan, Junpeng Wang, Weikai Yang
Visualization for Artificial Intelligence

This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models. It shows how visualization ca…

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Machine Learning for Astrophysics

This 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 chapters all…

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Rafael Ris-Ala
Fundamentals of Reinforcement Learning

Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in …

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Artificial Intelligence in Microbiology

Due to their high predictive and informative potential, machine learning and deep learning have emerged as essential tools to advance microbiome research. This book provides insights and research findings…

lieferbar ab 10.11.2025.

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Machine Learning for Drone-Enabled IoT Networks

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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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 23.10.2025.

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Manas Gaur, Amit P Sheth
Knowledge-Infused Learning

Knowledge-infused learning directly confronts the opacity of current 'black-box' AI models by combining data-driven machine learning techniques with the structured insights of symbolic AI. This guidebook …

lieferbar ab 31.10.2025.

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Deep Sciences for Computing and Communications

This two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in Ap…

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Advanced Machine Learning for Cyber-Attack Detection in Iot Networks

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their ap…

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Security, Privacy, and Applied Cryptography Engineering

This book constitutes the refereed proceedings of the 14th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2024, held in Kottayam, India, during December 14-17, …

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Flood Forecasting

Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and so…

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