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2020 – today
- 2024
[j6]Rahim Azadnia, Faramarz Noei-Khodabadi, Azad Moloudzadeh, Ahmad Jahanbakhshi, Mahmoud Omid:
Medicinal and poisonous plants classification from visual characteristics of leaves using computer vision and deep neural networks. Ecol. Informatics 82: 102683 (2024)- 2023
- [j5]Ramazan Hadipour-Rokni, Ezzatollah Askari Asli-Ardeh, Ahmad Jahanbakhshi, Iman Esmaili Paeen Afrakoti, Sajad Sabzi:
Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique. Comput. Biol. Medicine 155: 106611 (2023) - 2022
- [j4]Mohammad Momeny
, Ahmad Jahanbakhshi, Ali Asghar Neshat, Ramazan Hadipour-Rokni, Yu-Dong Zhang, Yiannis Ampatzidis:
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks. Ecol. Informatics 71: 101829 (2022) - 2021
- [j3]Mohammad Momeny, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, Ghassan Hamarneh:
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images. Comput. Biol. Medicine 136: 104704 (2021) - [j2]Ahmad Jahanbakhshi, Yousef Abbaspour-Gilandeh, Kobra Heidarbeigi, Mohammad Momeny:
A novel method based on machine vision system and deep learning to detect fraud in turmeric powder. Comput. Biol. Medicine 136: 104728 (2021) - [j1]Ahmad Jahanbakhshi, Yousef Abbaspour-Gilandeh, Kobra Heidarbeigi, Mohammad Momeny:
Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning. Comput. Biol. Medicine 136: 104764 (2021)
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