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Ahmad Heidary-Sharifabad
Ahmad Heidary-Sharifabad
Department of Computer Engineering, Maybod Branch, Islamic Azad University, Maybod, Iran
Verified email at maybodiau.ac.ir
Title
Cited by
Cited by
Year
An efficient deep learning model for cultivar identification of a pistachio tree
A Heidary-Sharifabad, MS Zarchi, S Emadi, G Zarei
British Food Journal 123 (11), 3592-3609, 2021
172021
Efficient Deep Learning Models for Categorizing Chenopodiaceae in the Wild
A Heidary-Sharifabad, MS Zarchi, S Emadi, G Zarei
International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021
112021
ICPTC: Iranian commercial pistachio tree cultivars standard dataset
A Heidary-Sharifabad, MS Zarchi, G Zarei
Data in Brief 38, 107348, 2021
52021
ACHENY: A standard Chenopodiaceae image dataset for deep learning models
A Heidary-Sharifabad, MS Zarchi, S Emadi, G Zarei
Data in Brief 39, 107478, 2021
42021
DSPVR: dynamic SFC placement with VNF reuse in fog-cloud computing using deep reinforcement learning
F Zahedi, M Mollahoseini Ardakani, A Heidary-Sharifabad
Journal of Ambient Intelligence and Humanized Computing 14 (4), 3981-3994, 2023
22023
Padeep: A Patched Deep Learning Based Model for Plants Recognition on Small Size Dataset: Chenopodiaceae Case Study
A Heidary-Sharifabad, MS Zarchi, G Zarei
International Journal of Computational Intelligence and Applications 21 (01 …, 2022
12022
Deep learning approach to help Chenopodiaceae biodiversity protection to prevent soil erosion (case study: Yazd province, Iran)
A Heidary-Sharifabad, N Soltani
Journal of Nature and Spatial Sciences (JONASS) 2 (1), 15-26, 2022
2022
An efficient deep learning approach to help Chenopodiaceae biodiversity protection to prevent soil erosion (case study: Yazd Province, Iran).
A Heidary-Sharifabad, N Soltani
2022
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