Paperback : £147.00
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.
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.
Optimization Solutions for Demand Side Management and Monitoring.- An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics.- Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method.- Introduction to Cuckoo Search and its Paradigms: A Bibliographic Survey and Recommendations.- Routing Protocols for Internet of Vehicles: A Review.- Introduction to Particle Swarm Optimization and its Paradigms: A Bibliographic Survey.- Classification and Monitoring of Injuries Around Knee Using Radiographs Based Deep Learning Algorithm.- Artificial Intelligence: It’s Role in Diagnosis and Monitoring against COVID-19.- Predicting Future, past and Misinterpreted COVID-19 Cases using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics.- Data Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study.
Dr. Hasmat Malik (M'16) received Diploma in Electrical
Engineering from Aryabhatt Govt. Polytechnic Delhi, B.Tech. degree
in electrical & electronics engineering from the GGSIP University,
Delhi, M.Tech degree in electrical engineering from National
Institute of Technology (NIT) Hamirpur, Himachal Pradesh, and Ph.D
in power system from Electrical Engineering Department, Indian
Institute of Technology (IIT) Delhi, India. He is currently a
Postdoctoral Scholar at BEARS, University Town, NUS Campus,
Singapore. He is a chartered Engineer [IEI]. He is a Life Member of
Institute of Engineers (India) (IEI), Indian Society for Technical
Education (ISTE), Institution of Electronics and Telecommunication
Engineering (IETE), International Association of Engineers (IAENG),
Hong Kong, International Society for Research and Development,
London (ISRD) and Member of the Institute of Electrical and
Electronics Engineers (IEEE), USA and Mir Labs, Asia. He has
published more than 100 researcharticles, including papers in
international journals, conferences and book chapters. He is a
Guest Editor of Special Issue of Journal of Intelligent & Fuzzy
Systems, 2018, 2020 (SCI, Impact Factor 2020:1.851), (IOS Press).
He received the POSOCO Power System Award (PPSA-2017) for his Ph.D
work for research and innovation in the area of power system. He
has received best research papers awards at IEEE INDICON-2015, and
full registration fee award at IEEE SSD-2012 (Germany). He has
supervised 23 PG students. He is involved in several large R&D
projects. His principal area of research interests is artificial
intelligence, machine learning and big-data analytics for renewable
energy, smart building & automation, condition monitoring and
online fault detection & diagnosis (FDD).
Dr Nuzhat Fatema has 10 years of experience in intelligent
data analytics using AI & Machine learning for hospital and health
care management. Dr. Fatema is the Co-founder of the Intelligent
Prognostic Private Limited. Dr Fatema speaks nationally and
internationally about the importance and power of data in hospital
and healthcare systems.Dr. Fatema a BAMS graduated from Maharashtra
University of Health Sciences, India. She has cured many patients
with her skills of medicinal knowledge. Later to go beyond the
clinical skills, she has achieved post-graduation in hospital
management from International Institute of Health Management
Research (IIHMR), Delhi. This was the platform where she has
utilized her clinical skills with her managerial skills using
artificial intelligence (AI), Machine Learning (ML) and Data
Analytics. She has worked as a research associate at National Board
of Examinations (NBE) India and dealt with the accreditation
process for post graduate courses in different multi-specialty
hospitals in the country. She has authored one book describing a
trouble free tool prepared by using different standardized manuals
of medicines in different countries for usage of the most
complicated drug like Warfarin. She has published several research
papers in renowned international journals and conferences.
Presently she is associated with Singapore Polyclinic,
Singapore.Her area of interest is AI, ML and intelligent data
analytics application in healthcare, monitoring, prediction,
forecasting, detection & diagnosis where she believes that it’s a
data driven world with stockpile of database in the industry which
is to be used to extract value to make better informed, more
accurate decisions in diagnosis, management and better outcomes in
industry care. Simply throwing the numbers by analyzing any data
has zero value; therefore she has produced narratives using data
for decision making. She has been doing research study by spotting
patterns in data and setting up infrastructure in the real-time
industrial monitoring domain.
Jafar A. Alzubi is Associate Professor atAl-Balqa Applied
University, School of Engineering, Jordan. He received Ph.D. degree
in Advanced Telecommunications from Swansea University, Swansea, UK
(2012), Master of Science degree (Hons.) in Electrical and Computer
Engineering from New York Institute of Technology, New York, USA
(2005), And Bachelor of Science degree (Hons.) in Electrical
Engineering, majoring in Electronics and Communications, from the
University of Engineering and Technology, Lahore, Pakistan (2001).
Jafar works and researches in multi- and interdisciplinary
environment involving machine learning, classifications and
detection of Web scams, the Internet of things, wireless sensor
networks, cryptography and using Algebraic–Geometric theory in
channel coding for wireless networks. As part of his research, he
designed the first regular and first irregular block turbo codes
using Algebraic–Geometry codes and investigated their performance
across various computer and wireless networks. He managed and
directed few projects funded by the European Union. He has a
cumulative research experience for over ten years, resulted in
publishing more than forty papers in highly impacted
journals.Currently, he is serving as Editor for IEEE Access Journal
and wireless sensor networks area Editor for Turkish Journal of
Electrical Engineering and Computer Sciences. In addition, he is
Editorial Board Member and Reviewer in many other prestigious
journals in computer engineering and science field. He also managed
several special issues in high impacted journals.
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