Computer Vision and Robotics Proceedings of CVR 2024 /

Bibliografski detalji
Autor kompanije:	SpringerLink (Online service)
Daljnji autori:	Shukla, Praveen Kumar (Urednik), Bhatt, Abhishek (Urednik), Mittal, Himanshu (Urednik), Engelbrecht, Andries (Urednik)
Sažetak:	XXIII, 588 p. 243 illus., 213 illus. in color. text
Jezik:	engleski
Izdano:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Izdanje:	1st ed. 2025.
Serija:	Algorithms for Intelligent Systems,
Teme:	Control engineering. Robotics. Automation. Image processing > Digital techniques. 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.
Online pristup:	https://doi.org/10.1007/978-981-97-8868-2
Format:	Elektronički Knjiga

Sadržaj:

1. Securing IoT Enabled Financial Transactions with Artificial Intelligence
2. Fruits Quality Detection using Hybrid CNN-SVM Model
3. Advancing Alzheimer's Diagnosis Integrating Transfer Learning with Support Vector Machine for Enhanced Disease Classification
4. Machine Learning Based Landslide Prediction in Karnataka’s Ghats Region
5. A Review of An efficient authentication mechanism for Wireless Sensors Networking Focused on the IIoT and its comparative analysis
6. Comparative Evaluation of Transfer Learning Models for Accurate Plant Disease Detection
7. Circuit Defect Inspect Circuit board defect detection using Modified Faster R-CNN
8. Data-Driven Insights into Polar Sea Ice Dynamics A 2017-2022 Analysis Using AMSR2 Satellite Data
9. Video Processing-Based Real Time Automobile Parts Defect Detection and Classification Using Deep Neural Network A Comprehensive Survey
10. Optical Satellite Imaging for Glacial Velocity Analysis Insights from Sikkim Glaciers Using Computer Vision Techniques.

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