Computer Vision and Robotics [electronic resource] : Proceedings of CVR 2022 / edited by Praveen Kumar Shukla, Krishna Pratap Singh, Ashish Kumar Tripathi, Andries Engelbrecht.

Colaborador(es): Shukla, Praveen Kumar [editor.] | Singh, Krishna Pratap [editor.] | Tripathi, Ashish Kumar [editor.] | Engelbrecht, Andries [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Algorithms for Intelligent SystemsEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XIV, 566 p. 278 illus., 225 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811978920Tema(s): Control engineering | Robotics | Automation | Signal processing | Image processing -- Digital techniques | Computer vision | Cooperating objects (Computer systems) | Control, Robotics, Automation | Signal, Speech and Image Processing | Computer Imaging, Vision, Pattern Recognition and Graphics | Cyber-Physical SystemsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8 Clasificación LoC:TJ212-225TJ210.2-211.495Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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.

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