, ,

Intelligence Enabled Research

DoSIER 2021

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2023
ISBN13: 9789811904912
Rubricering
Springer Nature Singapore e druk, 2023 9789811904912
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9789811904912
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

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.

Rubrieken

Populaire producten

    Personen

      Trefwoorden

        Intelligence Enabled Research