Intelligence enabled research : DoSIER 2020 / / Siddhartha Bhattacharyya, Paramartha Dutta, Kakali Datta, editors

• Pubblicazione: Singapore : , : Springer, , [2021]; ©2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (XVII, 123 p. 43 illus., 24 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence
• Persona (resp. second.): BhattacharyyaSiddhartha <1975->; DuttaParamartha; DattaKakali
• Nota di contenuto: DEBM: Differential Evolution based Block Matching Algorithm -- Multi-Modality of Occupants' Actions for Many-Objective Building Energy Management -- A Novel Self-Adaptive Salp Swarm Algorithm for Dynamic Optimization Problems -- Digital ID Generation and Management Framework using Blockchain -- HFAIR: Hello Devoid Optimized Version of FAIR protocol for Mobile Ad-hoc Networks -- Performance Evaluation of Language Identification on Emotional Speech Corpus of Three Indian Languages -- Disaster severity prediction from Twitter Images -- A Study on Energy Efficient Communication in VANETs using Cellular IoT -- Recognition of transforming behavior of human emotion from face video sequence: A triangulation induced Circumradius-Incentre-Circumcentre combined approach -- A study on radio labelling of evolving trees for path Pn.
• Sommario/riassunto: This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). 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.
• Titolo autorizzato: Intelligence Enabled Research
• ISBN: 981-15-9290-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484326203321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in intelligent systems and computing ; ; 1279.