Ultra-Low-Power IoT applications based on Real-Time Machine Vision and Image Analysis-Reference-Cited by-同舟云学术

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Ultra-Low-Power IoT applications based on Real-Time Machine Vision and Image Analysis

Published:2023-03-14 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)
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Author:

Gangadhar Ch¹,Prathyusha K²,Nalajala Paparao³,Majji Sankararao⁴,Kumar Ashok⁵,P Manoj Kumar⁵

Affiliation:

1. Prasad V. Potluri Siddhartha Institute of Technology,Department of ECE,Vijayawada,India

2. NRI Institute of Technology,Department of ECE,Vijayawada,India

3. Institute of Aeronautical Engineering,Department of ECE,Hyderabad,India

4. GRIET,Department of ECE,Hyderabad,India

5. New Horizon College of Engineering,Department of Mechanical Engineering,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099475/10099489/10099560.pdf?arnumber=10099560

Reference15 articles.

1. A statistical model approach based on the Gaussian Mixture Model for the diagnosis and classification of bone fractures

2. Leveraging bio-maximum inverse rank method for iris and palm recognition

3. Leveraging bio-maximum inverse rank method for iris and palm recognition

4. A systematic approach to diagnosis and categorization of bone fractures in X-Ray imagery

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