Transfer Learning approach for smart agriculture: Application to Blight Bacteria-Reference-Cited by-同舟云学术

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Transfer Learning approach for smart agriculture: Application to Blight Bacteria

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Microelectronics (ICM)
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Author:

Tace Youness¹,Elfilali Sanaa¹,Leghris Cherkaoui²,Bensag Hassna³,Renault Eric⁴

Affiliation:

1. Hassan II University,Laboratory of Information Technologies and Modelling, Faculty of Sciences Ben M’sik,Casablanca,Morocco

2. RTM Team, FST Mohammedia, HIIU,Computer Science Department,Casablanca,Morocco

3. Pluridisciplinary Laboratory of Research & Innovation (LPRI), EMSI,Casablanca,Morocco

4. University Gustave Eiffel, CNRS, ESIEE Paris,LIGM,Noisy-le-Grand,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10005313/10005321/10005494.pdf?arnumber=10005494

Reference14 articles.

1. MobileNets: Efficient convolutional neural networks for mobile vision applications;howard;arXiv Prepr arXiv1704 04861,2017

2. Deep Residual Learning for Image Recognition

3. Chronological classification of ancient paintings using appearance and shape features

4. Why does unsupervised pre-training help deep learning? J Mach Learn Res;d,2010

5. Understanding of a convolutional neural network;albawi;2017 International Conference on Engineering and Technology (ICET),2017

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