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2020 – today
- 2025
[j5]Mehdhar S. A. M. Al-gaashani
, Wenbo Xu, Efrem Yohannes Obsie:
MobileNetV2-based deep learning architecture with progressive transfer learning for accurate monkeypox detection. Appl. Soft Comput. 169: 112553 (2025)- 2024
- [j4]Mehdhar S. A. M. Al-gaashani, Ammar Muthanna, Samia Allaoua Chelloug, Neeraj Kumar:
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease. Neural Comput. Appl. 36(26): 16141-16161 (2024) - 2023
- [j3]Ivian Laobel Castellano Betancourt, Gilberto Fernando Castro Aguilar, Nemury Silega, Tahir Kamal, Mehdhar S. A. M. Al-gaashani, Nagwan M. Abdel Samee, Maali Alabdulhafith:
An Ontology-Based Approach to Reduce the Negative Impact of Code Smells in Software Development Projects. IEEE Access 11: 100146-100153 (2023) - [j2]Mehdhar S. A. M. Al-gaashani, Fengjun Shang, Ahmed A. Abd El-Latif:
Ensemble Learning of Lightweight Deep Convolutional Neural Networks for Crop Disease Image Detection. J. Circuits Syst. Comput. 32(5): 2350086:1-2350086:25 (2023) - 2022
- [j1]Mehdhar S. A. M. Al-gaashani, Fengjun Shang, Mohammed Saleh Ali Muthanna, Mashael Khayyat, Ahmed A. Abd El-Latif:
Tomato leaf disease classification by exploiting transfer learning and feature concatenation. IET Image Process. 16(3): 913-925 (2022) - 2020
- [c1]Mehdhar Al-gaashani, Mohammed Saleh Ali Muthanna, Abdukodir Khakimov, Ammar Muthanna, Ruslan Kirichek:
Intelligent System Architecture for Smart City and its Applications Based Edge Computing. ICUMT 2020: 269-274
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