AI and Machine Learning Paradigms for Health Monitoring System

This book PDF is perfect for those who love Technology & Engineering genre, written by Hasmat Malik and published by Springer Nature which was released on 14 February 2021 with total hardcover pages 513. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related AI and Machine Learning Paradigms for Health Monitoring System books below.

AI and Machine Learning Paradigms for Health Monitoring System
Author : Hasmat Malik
File Size : 43,6 Mb
Publisher : Springer Nature
Language : English
Release Date : 14 February 2021
ISBN : 9789813344129
Pages : 513 pages
Get Book

AI and Machine Learning Paradigms for Health Monitoring System by Hasmat Malik Book PDF Summary

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

AI and Machine Learning Paradigms for Health Monitoring System

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of

Get Book
Deep Learning and IoT in Healthcare Systems

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide. The authors explore the convergence of IoT and deep learning to enable things to communicate,

Get Book
Intelligent Sensor Node Based Systems

This new volume covers the fusion of IoT and wireless communication technology for real-life applications. It discusses the current developments, trends, and latest usage of technology in wireless sensor networks (WSNs) and IoT, which offer improvement in many areas, including in enabling smart homes, in agricultural systems, for security systems,

Get Book
System Design for Epidemics Using Machine Learning and Deep Learning

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced

Get Book
Artificial Intelligence in Healthcare

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The

Get Book
Artificial Intelligence for Health 4 0  Challenges and Applications

Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare

Get Book
Machine Learning  Advances in Computing  Renewable Energy and Communication

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy,

Get Book
Proceedings of 3rd International Conference on Machine Learning  Advances in Computing  Renewable Energy and Communication

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 – 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy

Get Book