Handbook of Computational Sciences: A Multi and Interdisciplinary Approach
- 5h 54m
- Ahmed A. Elngar, Krishna Kant Singh, Vigneshwar. M., Zdzislaw Polkowski
- John Wiley & Sons (US)
- 2023
The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems.
This edited volume covers a broad range of topics, including computational physics, chemistry, biology, engineering, finance, and social sciences. Each chapter provides an in-depth discussion of the state-of-the-art techniques and methodologies used in the respective field. The book also highlights the challenges and opportunities for future research in these areas.
The volume pertains to applications in the areas of imaging, medical imaging, wireless and WS networks, IoT with applied areas, big data for various applicable solutions, etc. This text delves deeply into the core subject and then broadens to encompass the interlinking, interdisciplinary, and cross-disciplinary sections of other relevant areas. Those areas include applied, simulation, modeling, real-time, research applications, and more.
Audience
Because of the book’s multidisciplinary approach, it will be of value to many researchers and engineers in different fields including computational biologists, computational chemists, and physicists, as well as those in life sciences, neuroscience, mathematics, and software engineering.
About the Author
Ahmed A. Elngar, PhD, is the founder and head of Scientific Innovation Research Group (SIRG) and assistant professor of Computer Science at the Faculty of Computers and Information, Beni-Suef University, Egypt.
Vigneshwar. M., is head of R & D and Academic Initiatives, Cybase Technologies, Coimbatore, Tamil Nadu, India. He has around 9 years in industry & research and 8 years in academia. He has an M.E., degree in computer science and engineering, and has published more than 110 international/national conference and journal publications as well as numerous awards.
Krishna Kant Singh, PhD, is an associate professor in the Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of machine learning and remote sensing. He has authored more than 50 technical books and research papers in international conferences and SCIE journals.
Zdzislaw Polkowski, PhD, is a professor in the Faculty of Technical Sciences, Jan Wyzykowski University, Polkowice, Poland. He has published more than 75 research articles in peer-reviewed journals.
In this Book
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A Sensor-Based Automated Irrigation System for Indian Agricultural Fields
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An Enhanced Integrated Image Mining Approach to Address Macro Nutritional Deficiency Problems Limiting Maize Yield
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Collaborative Filtering Skyline (CFS) for Enhanced Recommender Systems
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Automatic Retinopathic Diabetic Detection: Data Analyses, Approaches and Assessment Measures Using Deep Learning
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Design and Implementation of Smart Parking Management System Based on License Plate Detection
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A Novel Algorithm for Stationary Analysis of the Characteristics of the Queue-Dependent Random Probability for Co-Processor-Shared Memory Using Computational Sciences
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Smart e-Learning System with IoT-Enabled for Personalized Assessment
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Implementation of File Sharing System Using Li-Fi Based on Internet of Things (IoT)
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Survey on Artificial Intelligence Techniques in the Diagnosis of Pleural Mesothelioma
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Handwritten Character Recognition and Genetic Algorithms
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An Intelligent Agent-Based Approach for COVID-19 Patient Distribution Management
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Computational Science Role in Medical and Healthcare-Related Approach
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Impact of e-Business Services on Product Management
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Analysis of Lakeshore Images Obtained from Unmanned Aerial Vehicles
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Robotic Arm: Impact on Industrial and Domestic Applications
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Effects of Using VR on Computer Science Students’ Learning Behavior in Indonesia: An Experimental Study for TEFL
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Satisfaction of Students Toward Media and Technology Innovation Amidst COVID-19
