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Product details:
- Edition number 1st ed. 2022
- Publisher Springer Nature Singapore
- Date of Publication 29 March 2022
- Number of Volumes 1 pieces, Book
- ISBN 9789811904882
- Binding Hardback
- No. of pages178 pages
- Size 235x155 mm
- Weight 459 g
- Language English
- Illustrations XIV, 178 p. 109 illus., 47 illus. in color. Illustrations, black & white 241
Categories
Long description:
This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Table of Contents:
Solving Graph Coloring Problem Using Ant Colony Optimization, Simulated Annealing And Quantum Annealing – A Comparative Study.- Computer Assisted Diagnosis and Neuroimaging of Baby Infants.- Early Prediction of Ebola Virus Using Advanced Recurrent Neural Networks.- A Three-Step Fuzzy based BERT Model for Sentiment Analysis.- Mayfly Algorithm Based PID Controller for LFC of Multi Sources Single Area Power System.- Group Key Management Techniques for Secure Load Balanced Routing Model.- Search Techniques for Data Analytics with focus on Ensemble Methods.- A Survey on Underwater Object Detection.- COVACDISER: A Machine Learning based Web Application to Recommend the Prioritization of COVID-19 Vaccination.- Research of High-Speed Procedures for Defuzzification Based on the Area Ratio Method.- A Single Qubit Quantum Perceptron for OR and XOR Logic.- Societal Gene Acceptance Index Based Crossover in GA for Traveling Salesman Problem.- The method of automated neuro-fuzzy calibration of geometrically distorted images of digital X-ray tomographs.
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