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Kamal I. M. Al-Malah
Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers

MACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes Machine and Deep Le…

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Machine Learning Support for Fault Diagnosis of System-on-Chip

This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods …

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Marian Verhelst: Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning, Buch

Marian Verhelst, Vikram Jain
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect o…

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Bosen Lian: Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games, Buch

Bosen Lian, Wenqian Xue, Bahare Kiumarsi, Hamidreza Modares
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

Advances in Industrial Control

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with brea…

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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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Claudia Nagel
Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms

An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological c…

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Mark Ryan: Advanced Analytics for Business, Buch

Mark Ryan, Luca Massaron
Advanced Analytics for Business

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Every organization in the world stores …

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Sofien Kaabar
Deep Learning for Finance

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on g…

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Math Optimization for Artificial Intelligence

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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David Mackay
Mathematical Foundations Of Machine Learning

"Mathematical Foundations of Machine Learning" delves into the fundamental mathematical concepts that underpin the field of machine learning, providing a comprehensive exploration of the mathematical prin…

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Chandrasekar Vuppalapati
Specialty Crops for Climate Change Adaptation

STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health

Specialty crops are defined as fruits and vegetables, tree nuts, dried fruits, horticulture, and nursery crops including floriculture. The value of specialty crop production in the United States accounted…

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Stefan Sandfeld
Materials Data Science

The Materials Research Society Series

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods an…

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