Overview

This volume helps to address the genuine 21st century need for advances in data science and computing technology. It provides an abundance of new research and studies on progressive and innovative technologies, including artificial intelligence, communication systems, cyber security applications, data analytics, Internet of Things (IoT), machine learning, power systems, VLSI, embedded systems, and much more. The book presents a variety of interesting and important aspects of data science and computing technologies and methodologies in a wide range of applications, including deep learning, DNA cryptography, classy fuzzy MPPT controller, driving assistance, and safety systems. Novel algorithms and their applications for solving cutting-edge computational and data science problems are included also for an interdisciplinary research perspective. The book addresses recent applications of deep learning and ANN paradigms, the role and impact of big data in the e-commerce and retail sectors, algorithms for load balancing in cloud computing, advances in embedded system based applications, optimization techniques using a MATLAB platform, and techniques for improving information and network security. Advances in Data Science and Computing Technology: Methodology and Applications provides a wealth of valuable information and food for thought on many important issues for data scientists and researchers, industry professionals, and faculty and students in the data and computing sciences.

Full Product Details

Author:   Suman Ghosal ,  Amitava Choudhury ,  Vikram Kumar Saxena ,  Arindam Biswas
Publisher:   Apple Academic Press Inc.
Imprint:   Apple Academic Press Inc.
Weight:   0.657kg
ISBN:  

9781774639979

ISBN 10:   1774639971
Pages:   420
Publication Date:   24 November 2022
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Part I: Recent Application of Deep Learning and ANN Paradigm 1. Deep Learning Supported Evaluation of Retinal Vessel Enhancement Techniques 2. An Efficient and Optimized Deep Neural Network Architecture for Handwritten Digit Recognition 3. Design and Development of a Driving Assistance and Safety System Using Deep Learning. 4. Prediction of the Positive Cases of COVID-19 for Individual States in India and Its Measure: A State-of-the-Art Analysis 5. Deep Residual Neural Network Based Multi-Class Image Classifier for Tiny Images 6. Improved TDOA-Based Node Localization in WSN: An ANN Approach Part II: Role and Impact of Big Data in E-Commerce and the Retail Sector 7. Impact of Big Data on E-Commerce Websites 8. A Review of the Revolutionizing Role of Big Data in Retail Industry Part III: Algorithm for Load Balancing in Cloud Computing 9. Load-Balancing Implementation with an Algorithm of Matrix Based on the Entire Jobs 10. Load-Balancing Algorithm with Overall Tasks 11. Implementation of Load Balancing of Matrix Problem with the Row Sum Method Part IV: Advances in Embedded System-Based Applications 12. Microcontroller-Based Wearable Location Tracker System with Immediate Support Facility 13. Design and Modifications of Eyedrop Bottle Holder Device: A Simplest Way to Install Ocular Drug Independently 14. Agro-Nutrition Alert (ANA) Part V: Optimization Technique Using MATLAB Platform 15. Selection of Optimal Mother Wavelet for Fault Analysis in Induction Motor Using Stator Current Waveform 16. High Efficiency High Gain SEPIC-Buck Boost Converter Based BLDC Motor Drive for Solar PV Array Fed Water Pumping 17. A Classy Fuzzy MPPT Controller for Standalone PV System 18. Active and Reactive Power Control in Variable Wind Turbine Using Simultaneous Working of STATCOM and Pitch Control Part VI: Technique for Improving Information and Network Security 19. Information Security Using Key Management 20. Strength-Based Novel Technique for Malicious Nodes Isolation 21. Securing the Information Using Combined Method 22. Implementation of DNA Cryptography in IoT Using Chinese Remainder Theorem, Arithmetic Encoding, and Asymmetric Key Cryptography 23. Robust Technique to Overcome Thwarting Communication Under Narrowband Jamming in Extremely Low Frequency of CDMA-DSSS System on Coding- Based MATLAB Platform Part VII: Miscellaneous Topics in Computing 24. The Utility of Regional Language Facility in Accounting Software for Retail Market of West Bengal 25. Comparative Analysis of Storey Drift of a G+9 RC-Structured Building Due to Seismic Loads in Various Seismic Regions 26. A Proposal for Disinfection of Contaminated Subject Area Through Light

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Author Information

Suman Ghosal is Assistant Professor and Head of the Department of Electrical and Electronics Engineering at Pailan College of Management and Technology, Kolkata, India. He is also Administrative In-Charge of Pailan Technical Campus, Kolkata. He has more than 12 years of academic experience in addition to industrial experience. His broad areas of interest include renewable energy, electronics devices, and soft computing. He has published many research papers in various national and international reputed journals and conferences. He obtained his BTech degree from Maulana Abul Kalam Azad University of Technology (formerly WBUT), Kolkata, and his MTech from Bengal Engineering and Science University, Shibpur. He is currently pursuing a PhD at the Indian Institute of Engineering Science and Technology, Shibpu, India. Amitava Choudhury, PhD, is Assistant Professor in the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. He has more than ten years of experience in teaching and many years in research work. He serves as a reviewer for IEEE Biomedical Transaction and the journal Medical & Biological Engineering & Computing. He is member of IEEE, UP section, and the Institute of Engineers, India. His area of research interest is computational geometry in the field of micromechanical modelling, pattern recognition, character recognition, and machine learning. Currently, he is associated with the journal Cluster Computing as a guest editor. He earned his MTech from Jadavpur University and submitted his PhD thesis at the Indian Institute of Engineering Science and Technology, Shibpur, India. Vikram Kumar Saxena is Assistant Professor at the Pailan College of Management and Technology Kolkata, India. He has been a teaching professional for more than eight years. His research area of interest includes electrical machines, power systems, and power electronics. He has published many research papers in national and international journals and conferences. He received his BTech from West Bengal University of Technology, Kolkata, and his MTech from the National Institute of Technology Patna, India. Arindam Biswas, PhD, is Associate Professor in the School of Mines and Metallurgy at Kazi Nazrul University, Asansol, West Bengal, India. Dr. Biswas has 10 years of experience in teaching research and administration. He has published many technical papers in journals and conference proceedings as well as six books, an edited volume, and a book chapter. Dr. Biswas was awarded several research grants. Presently Dr. Biswas is serving as an Associate Editor of the journal Cluster Computing and as a guest editor of Nanoscience and Nanotechnology and Recent Patents on Materials Science. He has organized and chaired several international conferences in India and abroad. Dr. Biswas acted as reviewer for journals and is a member of the Institute of Engineers (India) and regular fellow of Optical Society of India (India). Prasenjit Chatterjee, PhD, is the Dean (Research and Consultancy) at MCKV Institute of Engineering, India. He has published over 90 research papers in international journals and peer-reviewed conferences. He has received numerous awards, including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. He has been the guest editor of several special issues and has authored and edited several books on decision-making approaches, supply chains, and sustainability modeling. He is the lead editor of the book series AAP Research Notes on Optimization and Decision-Making Theories and Frontiers of Mechanical and Industrial Engineering with Apple Academic Press. Dr. Chatterjee is one of the developers of two ""multiple-criteria decision-making methods called measurement of alternatives and ranking according to compromise solution"" (MARCOS) and ""ranking of alternatives through functional mapping of criterion sub-intervals into a single interval"" (RAFSI).

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