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Intelligence enabled research = DoSI...
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Doctoral Symposium on Intelligence Enabled Research (2021 :)
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Intelligence enabled research = DoSIER 2021 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Intelligence enabled research/ edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De.
Reminder of title:
DoSIER 2021 /
remainder title:
DoSIER 2021
other author:
Bhattacharyya, Siddhartha.
corporate name:
Doctoral Symposium on Intelligence Enabled Research
Published:
Singapore :Springer Singapore : : 2022.,
Description:
xiv, 178 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Computational intelligence - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-19-0489-9
ISBN:
9789811904899
Intelligence enabled research = DoSIER 2021 /
Intelligence enabled research
DoSIER 2021 /[electronic resource] :DoSIER 2021edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De. - Singapore :Springer Singapore :2022. - xiv, 178 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10291860-9503 ;. - Studies in computational intelligence ;v. 1029..
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.
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.
ISBN: 9789811904899
Standard No.: 10.1007/978-981-19-0489-9doiSubjects--Topical Terms:
704428
Computational intelligence
--Congresses.
LC Class. No.: Q342 / .D63 2021
Dewey Class. No.: 006.3
Intelligence enabled research = DoSIER 2021 /
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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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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
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EB Q342 .D63 2021
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