Natural Language Processing
Low-Resource Language Processing
Corpus Linguistics
Machine Translation
Computational Linguistics
Deep Learning
Bahmani, Z., & Azmi, R. (2011). Farsi/Arabic document image retrieval through sub-letter shape coding for mixed Farsi/Arabic and English text. IJCSI International Journal of Computer Science Issues, 8(5), 166–172.
Azmi, R., Hakimi, M., & Bahmani, Z. (2011). Dynamic reputation based trust management using neural network approach. IJCSI International Journal of Computer Science Issues, 8(5), 161–165.
Bahmani, Z., Ghasemi, M. R., Mousaviamjad, S. S., & Gharehbaghi, S. (2019). Prediction of performance point of semi-rigid steel frames using artificial neural networks. International Journal of Intelligent Systems and Applications, 11(10), 42–53. https://doi.org/10.5815/ijisa.2019.10.05
Bahmani, Z. (2019). Design and implementation of a Persian printed document retrieval system. Library and Information Organization Studies, 30(4), 58–70. https://doi.org/10.30484/nastinfo.2019.2142.1817
Bahmani, Z., Mirbigi, M., Hashemi Dijoujin, N., Nouri, M., Amani, M., Asgari, E., Soleimani Baghshah, M., Beigi, H., Movaghar, A., & Moghimi, A. (2024). Transformer-based machine translation for Boyer-Ahmadi Luri and Yazdi dialects into Standard Persian and the development of related computational linguistic resources. Language and Linguistics, 19(37), 153–172. https://doi.org/10.30465/LSI.2024.43456.1640
Bahmani, Z., Alamdar, F., Azmi, R., & Haratizadeh, S. (2010). Off-line Arabic/Farsi handwritten word recognition using RBF neural network and genetic algorithm. In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICICIS 2010). https://doi.org/10.1109/ICICISYS.2010.5658635
Alamdar, F., Bahmani, Z., & Haratizadeh, S. (2010). Color quantization with clustering by F-PSO-GA. In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICICIS 2010). https://doi.org/10.1109/ICICISYS.2010.5658548
Bahmani, Z., & Azmi, R. (2011). Farsi/Arabic document image retrieval through sub-letter shape coding. In 2011 3rd International Conference on Computer Technology and Development (ICCTD). https://doi.org/10.1115/1.859919.paper373
Bahmani, Z. (2019). A review of the structure of Persian printed document recognition and retrieval systems, along with a survey of research conducted in each component. In The 3rd International Conference on Soft Computing. Conference ID: CSCG03.
Bahmani, Z., & Azmi, R. (2018). Presenting a hierarchical neural network structure for Persian printed document retrieval. In The 1st National Conference on Modern and Intelligent Businesses, Data Mining, and Image Processing. Conference ID: IDMEC01.
Bahmani Kokhdan, Z. (2020). A review of some of the most widely used optimization algorithms and a proposed method for optimizing RBF neural networks using a genetic algorithm. In The 5th National Conference on Soft Computing in Electrical and Computer Engineering. National Document ID: SCECE05_032. https://civilica.com/doc/1143186/
Bahmani Kokhdan, Z. (2021). Presenting a different method for Persian subword body segmentation. In The 4th International Conference on Information Technology, Computer, and Telecommunications Engineering of Iran. National Document ID: ICTBC04_004. https://civilica.com/doc/1259788/
Bahmani Kokhdan, Z. (2021). Persian sub-letter recognition. In The 3rd National Conference on Modern Research in Engineering and Applied Sciences. National Document ID: NREAS03_181. https://civilica.com/doc/1306568/
Bahmani Kokhdan, Z. (2024). Artificial intelligence in the Internet of Things and its applications in robotics and image processing. In The 3rd National Conference on Energy, Automation, and Artificial Intelligence. National Document ID: PSAIC03_066. https://civilica.com/doc/2192114/
Bahmani Kokhdan, Z. (2025). A review of optimization approaches for multilingual large language models for the Persian language. In The 7th National Conference on New Achievements in Electrical Engineering, Computer Engineering, and Industry. National Document ID: NCAEC07_051. https://civilica.com/doc/2623810/
Bahmani, Z. (n.d.). Comparative analysis of deep learning approaches in medical computer vision with a focus on diagnosis and segmentation of clinical images. In National Conference on Strategic Technologies in Electrical and Mechanical Engineering.