Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. It is a guide to designing, opt...Loe edasi...
This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, deep learning methods for medical image analysis, and deep learnin...Loe edasi...
As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming...Loe edasi...
Bridges gap between modern machine learning methods and applied needs of economists, public health researchers, social scientists. Designed with students and practitioners in mind, introduces machine learning through causal inference. Offers a rigor...Loe edasi...
The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and ana...Loe edasi...
This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain. It delves into the use of machine learning for disease diagnosis and prognosis, showcasing its potential to ena...Loe edasi...
This book is designed to cater to readers who prefer a hands-on guide using SPSS Modeler, a widely popular software that does not require coding or programming skills. It targets a broad audience, including students, lecturers, researchers, and indu...Loe edasi...
Advancements in AI and Computer Vision are revolutionizing medical diagnostics by enabling real-time analysis of vast data. This book focuses on ML algorithms that analyze medical data and predict diseases based on key features....Loe edasi...
This book delves into the evolving field of computational intelligence, highlighting its intersection with computer science, AI, and machine learning. It covers recent advancements, theoretical foundations, and practical applications, emphasizing th...Loe edasi...
In this work from leading figures in the field, Lee, Lee, and Lin describe methods of integrated sensing and communication (ISAC) and artificial intelligence-aided radio systems to provide improved efficiency and performance to wireless users using...Loe edasi...
This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribologic...Loe edasi...
Users expect proper explanation and interpretability of all the decisions being taken by machine and deep learning (ML/DL) algorithms. This book covers key requirements for interpretability and trustworthiness of AI models and how these needs can be...Loe edasi...
This book presents a groundbreaking aspect of fundamental plasma chemistry that integrates modern machine learning and neuromorphic systems. This is the first book to introduce such a unique theory....Loe edasi...
Data-Driven Fault Diagnosis delves into the application of machine learning techniques for achieving robust and efficient fault diagnosis in industrial components....Loe edasi...
Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries....Loe edasi...
This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robus...Loe edasi...
This book demystifies deep learning and AI, making complex concepts accessible to all readers. It blends theory with practical guidance, covering neural networks, real-world applications, and ethical considerations. With insights on GANs and reinfor...Loe edasi...
This book starts with discussions over how large language models are used in healthcare and the opportunities we have to change portions of the healthcare paradigm. There are amazing opportunities to save both time as a business unit as well as impr...Loe edasi...
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...
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis and...Loe edasi...
This book provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis....Loe edasi...
The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcar...Loe edasi...
Explores the transformative potential of ML technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how AI/ML can optimize resource management and improve...Loe edasi...
This book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of th...Loe edasi...
This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and el...Loe edasi...
This text presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming....Loe edasi...
This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes....Loe edasi...
M.A. Jabbar, MVV Prasad Kantipudi, Sheng-Lung Peng, Mamun Bin Ibne Reaz, Ana Maria Madureira
Sari: River Publishers Series in Signal, Image and Speech Processing
(Ilmumisaeg: 21-Oct-2024, Kirjastus: River Publishers, ISBN-13: 9781003338789)
This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical i...Loe edasi...
This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics....Loe edasi...
Introduction to Visual Effects is the first single introduction to the computational and mathematical aspects of Visual Effects, incorporating both computer vision and graphics. It provides the reader with the source code to a library, enabling them...Loe edasi...
Autonomous Driving and Advanced Driver Assistance Systems (ADAS) outlines the latest research relating to autonomous cars and advanced driver-assistance systems, including the development, testing and verification for real-time situations of sensor...Loe edasi...
