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A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: An Experimental Case on a Limited COVID-19 Chest X-Ray Dataset
Coronavirus, also known as COVID-19, has spread to several countries around the world. It was announced as a pandemic disease by The World Health Organization (WHO) in 2020 for its devastating impact on humans. With the advancements in computer science algorithms, the detection of this type of virus in the early stages is urgently needed for the fast recovery of patients. In this paper, a study of neutrosophic set significance on deep transfer learning models over a limited COVID-19 chest x-ray dataset will be presented. The study relies on neutrosophic set theory, as it shows a huge potential for solving many computers problems related to the detection, and the classification domains.
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
Gender, Behavior, and Health
An estimated 200 million people in the world suffer from schistosomiasis (bilharzia), and according to the World Health Organization it ranks second behind malaria in terms of socioeconomic and public health importance in tropical and subtropical areas. The disease was present in Egypt in the Old Kingdom (c. 2600 BCE), and in 1998 it was estimated that almost six million Egyptians -- one fifth of the rural population -- were infected. Thus it remains one of the most serious public health problems in rural Egypt. This study is the first to paint a broad picture of schistosomiasis in rural Egypt. The authors' research in three Nile Delta villages between 1991 and 1997 provides an in-depth comm...
Future Trends in Education Post COVID-19
This open access book presents the proceedings of the first post COVID-19 conference on Education at the University of Sharjah, United Arab Emirates, on March 14-16, 2022. The book offers state-of-the-art approaches and methodologies in education post-COVID-19. It showcases emerging technology utilization in improving the quality of education, teaching and learning. It discusses the transformation of the curriculum, such as course design and delivery, assessment, and instructional methodologies that focus on employment readiness for the ever-evolving job market. Contributions include a wide range of topics such as online education, curriculum development, artificial intelligence, academic accreditation for hybrid & online learning. Given its scope, the book is essential reading for scholars, students, policy-makers, and education practitioners interested in a better understanding of technological innovations.
Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.
Collected Papers. Volume XI
This eleventh volume of Collected Papers includes 90 papers comprising 988 pages on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics, written between 2001-2022 by the author alone or in collaboration with the following 84 co-authors (alphabetically ordered) from 19 countries: Abhijit Saha, Abu Sufian, Jack Allen, Shahbaz Ali, Ali Safaa Sadiq, Aliya Fahmi, Atiqa Fakhar, Atiqa Firdous, Sukanto Bhattacharya, Robert N. Boyd, Victor Chang, Victor Christianto, V. Christy, Dao The Son, Debjit Dutta, Azeddine Elhassouny, Fazal Ghani, Fazli Amin, Anirudha Ghosha, Nasruddin Hassan, Hoang Viet Long, Jhulaneswar Baidya, Jin Kim, Jun Ye, Darjan Karabašević, Vasil...
Collected Papers. Volume XIII
This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; Information Fusion; Statistics;...
Implementing and Leveraging Blockchain Programming
This book gives a comprehensive overview of blockchain programming and its implementation in the wide range of blockchain-based applications such as cross-border payment, digital banking, and digital identities. The consistent thrive of the blockchain phenomenon and the ecosystem of e-business use cases have led to the Industrial Revolution in the e-business world, and it is demonstrated in this book. The digital advancement, interference, and transformation being brought through the influence of the blockchain advancements are creating waves across e-business verticals. The book caters to academics, industrial practitioners, and entrepreneurs working in the field of blockchain technology and programming.
Impact of the Coronavirus Pandemic (COVID-19) on Mood Disorders and Suicide
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Spice Bioactive Compounds
Nature offers us spices, which are a significant part of healthy and nutritious foods. The presence of abundant bioactive compounds in these spices makes them interesting from a scientific and health perspective. Extracts obtained from spice materials possess many health benefits and are rich sources of antioxidants, which suppress reactive oxygen species. Spice Bioactive Compounds: Properties, Applications, and Health Benefits collects such information together in one book, presenting all necessary features related to spices and their properties. Exploring the most recent research related to the extraction, isolation, encapsulation, identification, and characterization of bioactive compound...
