Machine Learning Methods – alle Bücher

Positioning and Navigation Using Machine Learning Methods

This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs…

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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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Jian-Qiao Sun
Random Vibration with Machine Learning Method

The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first b…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Katarzyna Kopczewska
Modelling Spatial Density

Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques in spatial density modelling, made accessib…

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Math Optimization for Artificial Intelligence

Mathematical Methods in the Digital Age - Band 2

The book presents powerful optimization approaches for integrating AI into daily life. This book explores how heuristic and metaheuristic methodologies have revolutionized the fields of robotics and machi…

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Machine Learning in MRI

Machine Learning in MRI: From Methods to Clinical Translation, Volume Thirteen in the Advances in Magnetic Resonance Technology and Applications series presents state-of-the-art machine learning methods i…

lieferbar ab 1.1.2026.

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Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

lieferbar ab 30.4.2026.

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Matthias Karlbauer
Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting

This thesis explores the potential of machine learning methods for improving weather forecasts. Since weather is considered a spatiotemporal process that evolves over space through time, the thesis first …

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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7th International Conference on Signal Processing and Information Communications

Introduction.- Adaptive Filtering & Signal Processing, Ad-Hoc and Sensor Networks.- Analog and Mixed Signal Processing.- Array Signal Processing.- Audio and Electroacoustics.- Audio/Speech Processing …

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Blockchain Analytics for Practitioners

This book offers a comprehensive guide to blockchain analytics, from foundational concepts to advanced applications, crafted for professionals, academics, policymakers, and students. It begins with an int…

lieferbar ab 29.1.2026.

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Advanced Informatics for Computing Research

Machine Learning.- Enhancing Breast Cancer Diagnosis and Prognosis Through Machine Learning and Deep Learning: A Comparative Analysis of Predictive Models.- Survival prediction of Primary Biliary Cholangi…

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Automation 2025: Recent Advances in Automation, Robotics and Measurement Techniques

Proceedings of the Conference Automation 2025: Recent Advances in Automation, Robotics and Measurement Techniques focuses on recent progress in: measurement techniques and control applied to diverse proce…

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Christophe Gaillac, Jérémy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

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Giorgos Tsironis
Artificial Intelligence and Complex Dynamical Systems

This book serves as a comprehensive introduction to nonlinear complex systems through the application of machine learning methods. Artificial intelligence (AI) has affected the foundations of scientific d…

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Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

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Intelligent Systems

.- The Use of Neural Networks Based on the YOLO Architecture to Automatically Determine Indicators of Crop Growth Using Photographs Taken from UAVs..- Residues Control for Perishables in Retail through Dy…

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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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Machine Learning in Water Treatment

Machine Learning in Water Treatment is a must-have for anyone interested in how artificial intelligence is transforming water treatment, offering practical insights, case studies, and a deep dive into cut…

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