Conference Papers

2024

Islam, Md Majedul, and Jing Selena He. “Abdominal Trauma Detection using Hybrid Quantum Machine Learning.” 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024.

Islam, Md Majedul, and Jing Selena He. “A Review on Quantum Machine Learning in Different Computer Vision Fields.” 2024 IEEE International Performance, Computing, and Communications Conference (IPCCC). IEEE, 2024.

Rabby, A. K. M., Ali, H., Islam, M. M., Abujar, S., & Rahman, F. (2024). Enhancement of Bengali OCR by Specialized Models and Advanced Techniques for Diverse Document Types. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1102-1109).

2023

Rabby, A. S. A., Ali, H., Islam, M. M., & Rahman, F. (2023, December). Versatile Bengali OCR: Document Analysis Technique for Varied Document Styles and Content. In 2023 IEEE International Conference on Big Data (BigData) (pp. 1965-1969). IEEE.

Ali, H., Rabby, A. S. A., Islam, M. M., Mahamud, A., Hasan, N., & Rahman, F. (2023, December). Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track (pp. 460-470).

2021

Islam, M. M., Das, A., Kowsar, I., Rabby, A. S. A., Hasan, N., & Rahman, F. (2021, December). Towards building a bangla text recognition solution with a multi-headed cnn architecture. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 1061-1067). IEEE.

Rahman, F., Rahman, A., Rabby, A. S. A., Rifat, M. J. R., Banik, M., Islam, M. M., … & Goldblatt, S. (2021, December). Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 4753-4760). IEEE.

Rabby, A. S. A., Islam, M. M., Islam, Z., Hasan, N., & Rahman, F. (2021, December). Towards Building A Robust Large-Scale Bangla Text Recognition Solution Using A Unique Multiple-Domain Character-Based Document Recognition Approach. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 1393-1399). IEEE.

Rahman, F., Rahman, A., Rabby, A. S. A., Rifat, M. J. R., Banik, M., Islam, M. M., … & Goldblatt, S. (2021, November). Disease modeling with a forest deep neural network utilizing nlp and a virtualized clinical semantic network. In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 935-942). IEEE.

Rabby, A. S. A., Islam, M. M., Hasan, N., Nahar, J., & Rahman, F. (2021, May). A Deep Learning Solution to Detect Text-Types Using a Convolutional Neural Network. In Proceedings of International Conference on Machine Intelligence and Data Science Applications: MIDAS 2020 (pp. 727-736). Singapore: Springer Singapore.

Foysal, M. F. A., Sultana, N., Rimi, T. A., & Rifat, M. H. (2021). Convolutional neural network hyper-parameter optimization using particle swarm optimization. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 2 (pp. 363-373). Springer Singapore.

Islam, M. M., Rabby, A. S. A., Hasan, N., Nahar, J., & Rahman, F. (2021). Text-type extraction using a deep learning solution at the character level. In Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 1 (pp. 253-262). Springer Singapore.

Masum, A. K. M., Majedul Islam, M., Abujar, S., Sorker, A. K., & Hossain, S. A. (2021). Bengali news headline generation on the basis of sequence to sequence learning using bi-directional RNN. In Soft Computing Techniques and Applications: Proceeding of the International Conference on Computing and Communication (IC3 2020) (pp. 491-501). Springer Singapore.

Majedul Islam, M., Khushbu, S. A., & Islam, M. S. (2021). Predicting the Appropriate Category of Bangla and English Books for Online Book Store Using Deep Learning. In Soft Computing Techniques and Applications: Proceeding of the International Conference on Computing and Communication (IC3 2020) (pp. 409-421). Springer Singapore.

2020

Rabby, A. S. A., Islam, M. M., Hasan, N., Nahar, J., & Rahman, F. (2020, December). A novel deep learning character-level solution to detect language and printing style from a bilingual scanned document. In 2020 IEEE International Conference on Big Data (Big Data) (pp. 5218-5226). IEEE.

Rabby, A. S. A., Islam, M. M., Hasan, N., Nahar, J., & Rahman, F. (2020, October). Borno: Bangla handwritten character recognition using a multiclass convolutional neural network. In Proceedings of the Future Technologies Conference (pp. 457-472). Cham: Springer International Publishing.

Rabby, A. S. A., Islam, M. M., Hasan, N., Nahar, J., & Rahman, F. (2020, July). Language detection using convolutional neural network. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.

2019

Islam, M. M., Masum, A. K. M., Rabbani, M. G., Zannat, R., & Rahman, M. (2019, November). Performance measurement of multiple supervised learning algorithms for Bengali news headline sentiment classification. In 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART) (pp. 235-239). IEEE.

Islam, M. M., Rabby, A. S. A., Arfin, M. H. R., & Hossain, S. A. (2019, July). PataNET: A convolutional neural networks to identify plant from leaf images. In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.