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Computer Vision and Robotics : Proceedings of CVR 2025, Volume 5 / edited by Harish Sharma, Abhishek Bhatt, Chirag Modi, Andries Engelbrecht.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Sharma, Harish.
Contributor:
Sharma
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1772
Language:
English
Subjects (All):
Automatic control.
Robotics.
Automation.
Image processing--Digital techniques.
Image processing.
Computer vision.
Signal processing.
Cooperating objects (Computer systems).
Internet of things.
Control, Robotics, Automation.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Signal, Speech and Image Processing.
Cyber-Physical Systems.
Internet of Things.
Local Subjects:
Control, Robotics, Automation.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Signal, Speech and Image Processing.
Cyber-Physical Systems.
Internet of Things.
Physical Description:
1 online resource (652 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented at the International Conference on Computer Vision and Robotics (CVR 2025), organized by National Institute of Technology, Goa, India, during 25–26 April 2025. 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.
Contents:
IoT based Glacial Lake Outburst Flood Risk Analysis and Warning System
Color-CAM: Color-Coded Explainable AI for Dental Caries Segmentation
A Machine Learning-Based Predictive Optimization Framework for Resource Allocation in Kubernetes
Handwriting Recognition for Diverse Styles: a CNN-RNN-CTC Approach
Energy-Efficient Cluster Computing for Sustainable Computing Practices.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-14044-7
9783032140449
OCLC:
1570556409

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