Publications
Journals
A. A. Chowdhury et al., “Stackfbas: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images,” Journal of King Saud University - Computer and Information Sciences. [Q1, IF: 6.9] [doi]
A. A. Chowdhury, A. Azam, A. Hossen, and Md H. Rahman, “DeepQGHO: Quantized Greedy Hyper-parameter Optimization in Deep Neural Networks for on-the-fly Learning,” IEEE Access (2021) [Q1, I.F: 3.9] [doi]
Hasan, K.T., Rahman, M.M., Ahmmed, M.M., Chowdhury,A.A., Islam, M.K. 4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach. Cogn Comput (2021).[Q1, I.F: 5.4] [doi]
Chowdhury, A.A., Hasan, K.T. & Hoque, K.K.S. Analysis and Prediction of COVID-19 Pandemic in Bangladesh by Using ANFIS and LSTM Network. Cogn Comput (2021). [Q1, I.F: 5.4] [doi]
Anjir Ahmed Chowdhury, Sabrina Kashem Chowdhury, Md Hanif, Sadia Noor Nosheen, & Md. Saniat Rahman Zishan. (2020). YOLO-Based Enhancement of Public Safety on Roads and Transportation in Bangladesh. AIUB Journal of Science and Engineering (AJSE), [Q4, IF: 0.35] [doi]
Anjir Ahmed Chowdhury, Sabrina Kashem Chowdhury, Md Hanif, Sadia Noor Nosheen, & Md. Saniat Rahman Zishan. (2020). Design and Development of Citizen Surveillance and Social-Credit Information System for Bangladesh. AIUB Journal of Science and Engineering (AJSE). [Q4, IF: 0.35] [doi]
Conferences
A. A. Chowdhury, M. A. Hamid and M. N. A. S. Ivan, "Implementation of Cost Effective Bomb Defusing Robot with Live Streaming Dual Camera Interface," ICREST 2021 (2nd International Conference on Robotics, Electrical and Signal Processing Techniques), 2021, pp. 439-444, [doi]
A. A. Chowdhury, A. Das, D.Karmaker, "A Comparative Study of Hyper Parameter Optimization Techniques for Deep Learning.," IJCACI 2021 (5th International Joint Conference on Advances in Computational Intelligence) [doi]
A. A. Chowdhury, A. Das, D.Karmaker, "Evaluation of Deep Learning models on UV ink: a Fake Money detection scheme with RPN," ICCA 2022 (2nd International Conference on Computing Advancements) [doi]
Under review
"Detection of Osteosarcoma using Deep Feature Extraction with Federated Learning and MLP from Histopathological Images" (Submitted in Expert Systems with Applications - Journals | Elsevier)
"Nuclei Segmentation and Classification from Histopathology-stained Images via Federated Learning for Edge Platform " (Submitted in Diagnostics | MDPI )