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Titolo: |
Computer vision and robotics : proceedings of CVR 2022 / / Praveen Kumar Shukla [and three others], editors
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Pubblicazione: | Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] |
©2023 | |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (559 pages) |
Disciplina: | 006.37 |
Soggetto topico: | Computer vision |
Robotics | |
Persona (resp. second.): | ShuklaPraveen Kumar |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Story Telling: Learning to Visualize Sentences Through Generated Scenes -- A Novel Processing of Scalable Web Log Data using Map Reduce Framework -- A Review of Disease Detection of Pre and Post-Harvest Plant Diseases: Recent Developments and Future -- Comparative Study Based on Lung Cancer with Covid-19 Using Deep Learning and Machine Learning -- Low-cost Data Acquisition System for Electric Vehicles -- Machine Learning based Robotic-Assisted Upper Limb Rehabilitation Therapies: A Review -- Performance Analysis of Classic LEACH vs CC-LEACH -- Anomaly Detection in the Course Evaluation Process -- Self Attention Based Efficient U-Net for Crack Segmentation -- Lung Carcinoma Detection from CT Images Using Image Segmentation -- A Deep Learning Based Human Activity Recognition System for Monitoring the Elderly People -- Tweets Classification on the Base of Sentiments using Deep Learning. |
Sommario/riassunto: | This book is a collection of the high-quality research articles in the field of computer vision and robotics which are presented in International Conference on Computer Vision and Robotics (ICCVR 2022), organized by BBD University Lucknow India, during 21 – 22 May 2022. The book discusses applications of computer vision and robotics in the fields like medical science, defence and smart city planning. This book presents recent works from researchers, academicians, industry, and policy makers. |
Titolo autorizzato: | Computer vision and robotics ![]() |
ISBN: | 9789811978920 |
9789811978913 | |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910720068803321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |