The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning, and are structured to make the volume accessible to a wide range of readers.

Key Features:

– 17 Chapters present information about the applications of AI and IoT in clinical medicine and plant biology

– Provides examples of algorithms for heart diseases, Alzheimer’s disease, cancer, pneumonia and more

– Includes techniques to detect plant disease

– Includes information about the application of machine learning in specific imaging modalities

– Highlights the use of a variety of advanced Deep learning techniques like Mask R-CNN

– Each chapter provides an introduction and literature review and the relevant protocols to follow

The book is an informative guide for data and computer scientists working to improve disease detection techniques in medical and life sciences research. It also serves as a reference for engineers working in the healthcare delivery sector.

The book aims to provide a deeper understanding of the relevant aspects of AI and IoT impacting each other’s efficacy for better output. Readers may discover a reliable and accessible one-stop resource; An introduction to Artificial Intelligence presents the first full examination of applications of AI, as well as IoT presents the smart objects, sensors or actuators using a secure protocol to the Artificial Intelligence approaches. They are designed in a way to provide an understanding of the foundations of artificial intelligence. It examines Education powered by AI, Entertainment and Artificial Intelligence, Home and Service Robots, Healthcare re-imagined, Predictive Policing, Space Exploration with AI, and weaponry in the world of AI. Through the volume, the authors provide detailed, wellillustrated treatments of each topic with abundant examples and exercises.

KEY FEATURES

● This book contains different topics about the most important areas and challenges in the Internet of Things. In this book, you will be able to read about the different subparts that compose the Internet of Things and the different ways to create a better IoT network or platform.

● This book will contain the possible architecture and middleware that you can use to create a platform and how to manage the data that you obtain from different objects (Smart Objects, sensors, or actuators) using a secure protocol or messages when you send the data through insecure protocols.

● These improvements can be applied in different ways. We can use different technologies and create different applications, or we can use the research of other fields like Big Data to process the massive data of the devices, Artificial Intelligence to create smarter objects or algorithms, Model-Driven Engineering to facilitate the use of any people, Cloud Computing to send the computation and the applications to the cloud, and Cloud Robotics to manage and interconnect the Robots between themselves and with

other objects.

Title: AI and IoT-based Intelligent Health Care & Sanitation

Authors: Shashank Awasthi, Mahaveer Singh Naruka, Satya Prakash Yadav, Victor Hugo C. De Albuquerque

Publisher: Bentham Science Publishers

Year: 2023

Edition: –

Language: English

Pages: 310

Ebook: PDF

File size: 23 MB

ISBN Number: 9815136542, 9789815136548

CBID: CBM366

Trích dẫn:AI and IoT-based Intelligent Health Care & Sanitation