Artificial Intelligence of Health-Enabled Spaces  book cover
1st Edition

Artificial Intelligence of Health-Enabled Spaces

Edited By

Fadi Al-Turjman



  • Available for pre-order on May 26, 2023. Item will ship after June 16, 2023
ISBN 9781032345802
June 16, 2023 Forthcoming by CRC Press
256 Pages 82 B/W Illustrations

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Book Description

Artificial Intelligence of Health-Enabled Spaces (AIoH) has made revolutionary advances in clinical studies that we know so far. Among these advances, intelligent and medical services are gaining lots of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. The AI-powered solutions are expected to communicate with cellular networks smoothly in the next generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for another interesting research areas. This book focuses on the development and analysis of Artificial Intelligence (AI) models applications across multi-disciplines. AI based deep learning models, fuzzy and hybrid intelligent systems, and intrinsic explainable model are also being presented in this book. Some of the fields considered in this smart health-oriented book includes AI applications in Electrical Engineering, Biomedical Engineering, Environmental Engineering, Computer Engineering, Education, Cyber Security, Chemistry, Pharmacy, Molecular Biology, and Tourism.

This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. Challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of the AI-based approaches in proposed health-related solutions.

Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent enabling technologies.

Table of Contents

1. IoT and Machine Learning based smart healthcare system for monitoring patient by Sharad Chauhan, Neha Arora, Ritika Arora. 2. Detection and Diagnosis of COVID-19 from chest X-ray images using Deep Learning by Gomathi L, Amit Kumar Tyagi. 3. Analyzing the Stages of Diabetic Retinopathy Using Deep Learning Techniques by M Boomika, Priyanka K, Sushmitha S, Harshvardhan Tiwari. 4. COVID-19 Detection Based on Deep Learning Feature Extraction and AdaBoost Ensemble Classifier by Auwalu Saleh Mubarak, Sertan Serte, Zubaida Sa’id Ameen, Chadi Altrjman, Fadi Al-Turjman. 5. Deep Learning and Transfer Learning Models For Detection of COVID-19 by Abdullahi Umar Ibrahim, Fadi Al-Turjman, Mehmet Ozsoz, Ayse Gunnay Kibarer, Serife Kaba. 6. Industry 4.0 Challenges and Applications in Healthcare Industry with Emerging Technologies by Meenu Gupta, Rakesh Kumar, Madhu Bala. 7. Cyber-security Countermeasures, and Vulnerabilities to Prevent Social-Engineering Attacks by Ramiz Salama and Fadi Al-Turjman. 8. Development of a Covid-19 Tracking System by Olusegun Odewole, Fadi Al-Turjman. 9. Creating a Cooling System App for Patients Who Are Immobile by Fadi Al-Turjman, Ramiz Salama, Auwalu Mubarak. 10. An Overview of Autonomous Perception for Robotic Arm by Auwalu Saleh Mubarak, Zubaida Said Ameen, Fadi Al-Turjman. 11. Artificial intelligence-based methods for SARS-CoV-2 detection with CRISPR systems by Zubaida Said Ameen, Auwalu Saleh Mubarak, Fadi Al-Turjman, Sinem Alturjman.

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Editor(s)

Biography

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is the associate dean for research and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Dept., and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 400 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has received several recognitions and best papers’ awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 7.58), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.