Advantages of Using Edge Machine Learning for Communication Networks and Grasp Analysis in Robotic Hand Network Based on Federated AVG & Machine Learning-Reference-Cited by-同舟云学术

Advantages of Using Edge Machine Learning for Communication Networks and Grasp Analysis in Robotic Hand Network Based on Federated AVG & Machine Learning

Published:2022-06-09 Issue: Volume: Page:
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Container-title:2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Bacanli Emre¹,Ilhan Haci¹

Affiliation:

1. Yıldız Technical University,Department of Electronics and Communication Engineering,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9799780/9799803/09799881.pdf?arnumber=9799881

Reference27 articles.

1. Monitoring and diagnostic technologies using deep neural networks for predictive optical network maintenance [Invited]

2. Feed forward network with back propagation algorithm for detection of breast cancer

3. A Robotic Hand: Controlled With Vision Based Hand Gesture Recognition System

4. Robotic Grasp Detection Using Light-weight CNN Model

5. Robotic hand grasping of objects classified by using support vector machine and bag of visual words

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