Classification of Electronic Components Using MobileNetV2 Architecture-Based Convolutional Neural Network-Reference-Cited by-同舟云学术

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Classification of Electronic Components Using MobileNetV2 Architecture-Based Convolutional Neural Network

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Wireless and Telematics (ICWT)
language:
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Author:

Destalia Gita¹,Aditya Muhammad Alvito¹,Nurmalasari Rin Rin¹,Zaki Hamidi Eki Ahmad¹,Sar'an Mohamad²,Sutisna Dede³

Affiliation:

1. UIN Sunan Gunung Djati,Department of Electrical Engineering,Bandung,Indonesia

2. UIN Sunan Gunung Djati,Department of Sharia Economic Law,Bandung,Indonesia

3. UIN Sunan Gunung Djati,Department of Islamic Broadcasting Communication,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10335164/10335100/10335269.pdf?arnumber=10335269

Reference16 articles.

1. An Electronic Component Recognition Algorithm Based on Deep Learning with a Faster SqueezeNet

2. ANN Design Model to Recognize The Direction of Multi-Robot AGV

3. Image Processing Technique for Smart Home Security Based On the Principal Component Analysis (PCA) Methods

4. ImageNet classification with deep convolutional neural networks

5. A 3d-Deep CNN Based Feature Extraction and Hyperspectral Image Classification

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