Advances in Data Science and Computing Technology: Methodology and Applications
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.

1141638426
Advances in Data Science and Computing Technology: Methodology and Applications
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.

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Advances in Data Science and Computing Technology: Methodology and Applications

Advances in Data Science and Computing Technology: Methodology and Applications

Advances in Data Science and Computing Technology: Methodology and Applications
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Advances in Data Science and Computing Technology: Methodology and Applications

Advances in Data Science and Computing Technology: Methodology and Applications

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.

Product Details

ISBN-13: 9781774639979
Publisher: Apple Academic Press
Publication date: 11/24/2022
Pages: 448
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Suman Ghosal, Arindam Biswas

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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