Computer vision and robotics : proceedings of CVR 2022 / Praveen Kumar Shukla, Krishna Pratap Singh, Ashish Kumar Tripathi, Andries Engelbrecht, editors.
International Conference on Computer Vision and Robotics (2022 : Lucknow, India); Shukla, Praveen Kumar, editor.; Singh, Krishna Pratap, editor.; Tripathi, Ashish Kumar, editor.; Engelbrecht, Andries P., editor.
2023
TA1634 .I58 2022
Available Online

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Title Computer vision and robotics : proceedings of CVR 2022 / Praveen Kumar Shukla, Krishna Pratap Singh, Ashish Kumar Tripathi, Andries Engelbrecht, editors.
Meeting Name International Conference on Computer Vision and Robotics (2022 : Lucknow, India)
ISBN 9789811978920 electronic book
9811978921 electronic book
9811978913
9789811978913
DOI https://doi.org/10.1007/978-981-19-7892-0
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (566 pages) : illustrations (black and white, and color).
Item Number 10.1007/978-981-19-7892-0 doi
Call Number TA1634 .I58 2022
Dewey Decimal Classification 006.3/7
Summary 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.
Note Includes author index.
Bibliography, etc. Note References -- 4 A Comparative Study Based on Lung Cancer with Deep Learning and Machine Learning Models -- 1 Introduction -- 2 Background Knowledge -- 2.1 Methodology -- 3 Issues and Future Direction -- 4 Conclusions -- References -- 5 Low-Cost Data Acquisition System for Electric Vehicles -- 1 Introduction -- 2 Block Diagram of Electric Vehicle -- 3 Design and Authentication of Data Acquisition System -- 4 Conclusion -- References -- 6 Machine Learning Based Robotic-Assisted Upper Limb Rehabilitation Therapies: A Review -- 1 Introduction -- 2 Background on Rehabilitation Treatments
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Shukla, Praveen Kumar, editor.
Singh, Krishna Pratap, editor.
Tripathi, Ashish Kumar, editor.
Engelbrecht, Andries P., editor.
Series Algorithms for intelligent systems.
Available in Other Form COMPUTER VISION AND ROBOTICS.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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