| Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19 M Nahiduzzaman, MOF Goni, R Hassan, MR Islam, MK Syfullah, ... Expert Systems with Applications 229, 120528, 2023 | 15 | 2023 |
| Plant Disease Classifier: Detection of Dual-Crop Diseases using Lightweight 2D CNN Architecture HI Peyal, M Nahiduzzaman, MAH Pramanik, MK Syfullah, SM Shahriar, ... IEEE Access, 2023 | 7 | 2023 |
| Multi-scale cnn: An explainable ai-integrated unique deep learning framework for lung-affected disease classification O Sarkar, MR Islam, MK Syfullah, MT Islam, MF Ahamed, M Ahsan, ... Technologies 11 (5), 134, 2023 | 5 | 2023 |
| Irv2-net: A deep learning framework for enhanced polyp segmentation performance integrating inceptionresnetv2 and unet architecture with test time augmentation techniques MF Ahamed, MK Syfullah, O Sarkar, MT Islam, M Nahiduzzaman, ... Sensors 23 (18), 7724, 2023 | 5 | 2023 |
| IoT Based Multi-layered Security & Automated Monitoring System MK Syfullah, HI Peyal, SS Bipro, SM Shahriar, MH Mondol 2021 International Conference on Computer, Communication, Chemical …, 2021 | 5 | 2021 |
| Classification and Segmentation on Multi-Regional Brain Tumors Using Volumetric Images of MRI with Customized 3D U-Net Framework M Faysal Ahamed, M Robiul Islam, T Hossain, K Syfullah, O Sarkar Proceedings of International Conference on Information and Communication …, 2023 | 4 | 2023 |
| An empirical model of classifying lung affected diseases to detect COVID-19 using chest X-ray employing convolutional neural architecture O Sarkar, MR Islam, T Hossain, MK Syfullah, MT Islam, M Moniruzzaman 2022 IEEE International Conference on Artificial Intelligence in Engineering …, 2022 | 2 | 2022 |
| Exploring the Potential: ML vs. DL in Network Security with Explainable AI (XAI) Insights MT Islam, MK Syfullah, J Islam, HMS Quadir, MG Rashed, D Das 2023 26th International Conference on Computer and Information Technology …, 2023 | 1 | 2023 |
| Bridging the Gap: Advancing the Transparency and Trustworthiness of Network Intrusion Detection with Explainable AI MT Islam, MK Syfullah, MG Rashed, D Das | | 2023 |
