Conferences
Kabir, M. R., Ashraf, F. B., & Ajwad, R. (2019). Analysis of different predicting model for online shoppers’ purchase intention from empirical data. In 2019 22nd International Conference on Computer and Information Technology (ICCIT) (pp. 1–6). Dhaka, Bangladesh: IEEE. https://doi.org/10.1109/ICCIT48885.2019.9038521
Abdullah, Ashraf, F. Bin, & Momo, N. S. (2019). Comparative analysis on prediction models with various data preprocessings in the prognosis of cervical cancer. In 2019 5th International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2019. Kanpur, India: IEEE. https://doi.org/10.1109/ICCCNT45670.2019.8944850
Faisal, F., Bhuiyan, S., Ashraf, F. Bin, & Kamal, A. (2019). A framework for disease identification from unstructured data using text classification and disease knowledge base. In 2019 5th International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2019. Dhaka, Bangladesh: IEEE. https://doi.org/10.1109/ICAEE48663.2019.8975447
Ashraf, F. B., Ajwad, R., & Mottalib, M. A. (2019). A novel gene-tree based approach to infer relations among disease-genes across different cancer types. In 2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019. Dhaka: IEEE. https://doi.org/10.1109/ECACE.2019.8678921
Islam, M. U., Ashraf, F. B., Abir, A. I., & Mottalib, M. A. (2018). Polarity detection of online news articles based on sentence structure and dynamic dictionary. In 20th International Conference of Computer and Information Technology, ICCIT 2017 (pp. 1–5). Dhaka: IEEE. https://doi.org/10.1109/ICCITECHN.2017.8281777
Islam, M. U., Mahmud, H., Ashraf, F. B., Hossain, I., & Hasan, M. K. (2018). Yoga posture recognition by detecting human joint points in real time using microsoft kinect. In 5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017 (pp. 668–673). Dhaka: IEEE. https://doi.org/10.1109/R10-HTC.2017.8289047
Ashraf, F. B., Abir, A. I., Salekin, M. S., & Mottalib, M. A. (2017). RPPMD (Randomly projected possible motif discovery): An efficient bucketing method for finding DNA planted Motif. In 2017 International Conference on Electrical, Computer and Communication Engineering, ECCE 2017 (pp. 509–513). Cox’s Bazar: IEEE. https://doi.org/10.1109/ECACE.2017.7912958