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Intelligence Enabled Research = DoSIER 2021 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligence Enabled Research/ edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De.
其他題名:	DoSIER 2021 /
其他作者:	De, Sourav.
面頁冊數:	XIV, 178 p. 109 illus., 47 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data. -
電子資源:	https://doi.org/10.1007/978-981-19-0489-9
ISBN:	9789811904899

Intelligence Enabled Research = DoSIER 2021 /
Intelligence Enabled ResearchDoSIER 2021 /[electronic resource] :edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De. - 1st ed. 2022. - XIV, 178 p. 109 illus., 47 illus. in color.online resource. - Studies in Computational Intelligence,10291860-9503 ;. - Studies in Computational Intelligence,564.

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:

1017136
Big Data.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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