This book aims to develop structural design and optimization methods of lifting self-forming Glass fiber reinforced polymer (GFRP) elastic gridshells based on machine learning (ML)....Loe edasi...
Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decisio...Loe edasi...
This book presents machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: Biomedical Eng...Loe edasi...
This book bridges the gap between theoretical mathematics and practical applications in AI. Whether youre aiming to develop practical skills for AI projects, advance to emerging trends in deep learning, or lay a strong foundation for future studies...Loe edasi...
This book examines the digital transformation of the sports industry. It explores the digital and technological changes that will shape the sports industry for years to come. Topics covered include digital innovation, AI, machine learning, optimizat...Loe edasi...
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep l...Loe edasi...
The book examines the application of machine learning to enhance resource allocation in IoT networks, with a specific focus on energy efficiency. It discusses various algorithms, including neural networks and reinforcement learning, to optimize reso...Loe edasi...
This book examines the paradigm shift towards a new digital smart city ecosystem brought about by the rapid adoption of deep learning, which has been combined with blockchain technology. Deep learning and blockchain applications cover a wide range o...Loe edasi...
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available o...Loe edasi...
This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such...Loe edasi...
Sari: AAP Advances in Artificial Intelligence and Robotics
(Ilmumisaeg: 14-Apr-2025, Kirjastus: Apple Academic Press Inc., ISBN-13: 9781003535850)
Shows how artificial intelligence and machine learning can be used in every aspect of business and as a foundation for complex decision-making. Overviews AI techniques used in business, like, use of AI in employee training, in stock market predictio...Loe edasi...
This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will investigate how Machine Learning techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize...Loe edasi...
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forests,...Loe edasi...
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an unknown that is in a state of relationship with another variable. This book is valuable for students across disciplines...Loe edasi...
The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of de...Loe edasi...
The book includes detailed Python examples for each phase, making it an essential resource for researchers and practitioners in animal behavior and technology....Loe edasi...
This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically Machine learning-as-a-Ser...Loe edasi...
The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies....Loe edasi...
This book is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practica...Loe edasi...
As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers,...Loe edasi...
