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Harnessing AI, Machine Learning, and IoT for Intelligent Business

This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. The convergence of AI, ML, and IoT has revolutionized variou…

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Harnessing AI, Machine Learning, and IoT for Intelligent Business

This book is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. T…

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2 Bücher

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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Learning Techniques for the Internet of Things

The book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud co…

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Wesley Pacheco Calixto, Marcio Rodrigues Cunha Reis, Lucas Diniz Silva Morais, Wanderson Rainer Hilário Araújo
Control and Tracking Techniques for Switched Reluctance Machines

Control and Tracking Techniques for Switched Reluctance Machinesprovides detailed and practical instructions for implementing drive and control techniques for switched reluctance machines (SRMs), which ca…

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Samuel Ackerman, Guy Barash, Onn Shehory, Orna Raz
Theory and Practice of Quality Assurance for Machine Learning Systems

This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that includ…

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh,…

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Maurizio Perticarini
Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage

This book addresses the role of modern surveying and representation technologies in preserving and disseminating cultural heritage. A workflow is illustrated, describing the Former Monastery of Ss Severin…

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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Sherif Moussa, Ziad El-Khatib
Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing

This book describes Deep Learning-based architecture design for intelligent wireless communication systems and specifically for Deep Learning-based receiver design. Deep Learning-based architecture design…

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

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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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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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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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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Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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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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Eduardo Bayro-Corrochano
Geometric Algebra Applications Vol. III

The goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain l…

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Chandrasekar Vuppalapati
Specialty Crops for Climate Change Adaptation

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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Eileen Sorg
Portfolio: Beginning Colored Pencil

Beginning Colored Pencillets you master the art of drawing with colored pencils.

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