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Computer vision and robotics : proceedings of CVR 2021 / / edited by Jagdish Chand Bansal, Andries Engelbrecht, Praveen Kumar Shukla



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Titolo: Computer vision and robotics : proceedings of CVR 2021 / / edited by Jagdish Chand Bansal, Andries Engelbrecht, Praveen Kumar Shukla Visualizza cluster
Pubblicazione: Singapore : , : Springer, , [2022]
©2022
Descrizione fisica: 1 online resource (541 pages)
Disciplina: 929.605
Soggetto topico: Computer vision
Persona (resp. second.): BansalJagdish Chand
EngelbrechtAndries
ShuklaPraveen Kumar
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: AI Techniques for Swedish Leaf Classification Designing a Recommender System for Articles using Implicit Feedback Personality Prediction based on Twitter Tweets Music Therapy for Mood Transformation based on Deep Learning Framew orkRice Crop Diseases and Pest Detection using Edge Detec-tion Techniques and Convolution Neural Netw orkSpatial Analyses of Cyclone Amphan Induced Flood Inundation Mapping Using Sentinel-1A SAR Images Through GEE CloudClassification through Data Mining AlgorithmEarly Detection of Diabetic Retinopathy using Multimodal ApproachIntelligent Techniques for Crowd Detection And People Counting- A Systematic_StudyTwitter Sentiment Analysis of Public Opinion on COVID-19 Vaccines
Sommario/riassunto: This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2021), organized by BBD University Lucknow, India, during 78 August 2021. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.
Titolo autorizzato: Computer vision and robotics  Visualizza cluster
ISBN: 981-16-8224-0
981-16-8225-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910743214103321
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Serie: Algorithms for intelligent systems