Chadi Altrjman – författare
Visar alla böcker från författaren Chadi Altrjman. Handla med fri frakt och snabb leverans.
3 produkter
3 produkter
Inbunden, Engelska, 2023
1 635 kr
Skickas inom 10-15 vardagar
Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice.This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions.The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies.
Häftad, Engelska, 2024
686 kr
Skickas inom 10-15 vardagar
Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice.This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions.The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies.
Inbunden, Engelska, 2026
1 776 kr
Kommande
AI and IoT in Engineering, Life Science, and Healthcare presents an integrated, application-focused exploration of how intelligent algorithms and connected sensing systems are jointly designed, deployed, and evaluated to solve real-world challenges across engineering workflows, biological research, and clinical practice.Readers will gain a clear, practice-oriented understanding of how to build end-to-end solutions—from data acquisition with IoT devices to model development, deployment, and validation—supported by concise explanations, case studies, and reproducible workflows. The book explains how to select appropriate sensors, design data pipelines, apply learning models, and assess performance using relevant metrics, while addressing interoperability, scalability, and reliability. It also covers implementation considerations such as edge vs. cloud processing, system integration, and lifecycle management. By combining conceptual clarity with step-by-step examples and applied scenarios, the book enables readers to move from theory to working prototypes and informed decision-making.This book is intended for senior undergraduate and postgraduate students in engineering, biomedical sciences, and health informatics, as well as researchers, practitioners, and professionals seeking to apply connected intelligent systems in applied settings. It is also suitable for educators and industry engineers looking for a structured reference that bridges disciplines and emphasizes practical deployment.Key Features :End-to-end coverage from IoT data acquisition to model deployment and evaluationCross-disciplinary case studies spanning engineering systems, life sciences, and healthcarePractical workflows with implementation guidance for edge and cloud environmentsEmphasis on system integration, scalability, and real-world constraints