Selected publications:
Conference papers:
M. Ahmed, Adnan Ferdous Ashrafi, R. U. Ahmed, and T. Ahmed, ‘MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification’, in 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022, pp. 757–762.
J. H. Siddiqui, R. U. Ahmed, Adnan Ferdous Ashrafi, and S. Arafin, ‘Know Your Chemistry Set: Exploring Chemical Laboratory Object Detection Using YOLOv8 and YOLOv9’, in 2024 27th International Conference on Computer and Information Technology (ICCIT), 2024, pp. 2116–2121.
M. H. Sarkar and Adnan Ferdous Ashrafi, ‘Genetic Sequence compression using Machine Learning and Arithmetic Encoding Decoding Techniques’, in 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022, pp. 1038–1043.
M. M. Haque, S. Akter, and Adnan Ferdous Ashrafi, ‘SwinMedNet: Leveraging Swin Transformer for Robust Diabetic Retinopathy Classification from the RetinaMNIST2D Dataset’, in 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 2024, pp. 1286–1291.
S. S. F. Ruhi, F. Nahar, and Adnan Ferdous Ashrafi, ‘A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning’, in 2024 27th International Conference on Computer and Information Technology (ICCIT), 2024, pp. 517–522.
Ahmed Al Marouf, Rasif Ajwad and Adnan Ferdous Ashrafi. “Looking Behind the Mask: A framework for Detecting Character Assassination via Troll Comments on Social media using Psycholinguistic Tools”, in ECCE-19, 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), DOI: 10.1109/ECACE.2019.8679154.
Md Mehedi Hassan Onik, Shakhawat Ahmmed, Adnan Ferdous Ashrafi and Tareque Mohmud Chowdhury. “Prediction of a gene regulatory network from gene expression Profiles with Linear Regression and Pearson Correlation Coefficient”, in ICCIT-16, 2016 19th International Conference on Computer and Information Technology (ICCIT), Pages: 327-332.
Adnan Ferdous Ashrafi, AK M Iqtidar Newaz, Rasif Ajwad, Moin Mahmud Tanvee and MA Mottalib. “A modified algorithm for DNA motif finding and ranking considering variable length motif and mutation”, in ReTIS - 15, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS). DOI: 10.1109/ReTIS.2015.7232844.
Journal Articles:
M. R. Ahmed, Adnan Ferdous Ashrafi, R. U. Ahmed, S. Shatabda, A. M. Islam, and S. Islam, ‘DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images’, Neural Computing and Applications, vol. 35, no. 19, pp. 14379–14401, 2023.
S. Arafin, Adnan Ferdous Ashrafi, M. G. R. Alam and A. Talukder, "BFER-Net: Babies Facial Expression Recognition Model Using ResNet12 Enabled Few-Shot Embedding Adaptation and Convolutional Block Attention Modules," in IEEE Access, vol. 13, pp. 37302-37317, 2025, doi: 10.1109/ACCESS.2025.3545759.
Haque, Md Mominul and Adnan Ferdous Ashrafi, and Akter, Sweety and Mahamad, Saipunidzam, Swinmednet: A Hierarchical Transformer for Cross-Modal Medical Image Classification. Available at SSRN: https://ssrn.com/abstract=5273371 or http://dx.doi.org/10.2139/ssrn.5273371
Ahmed Al Marouf, Adnan Ferdous Ashrafi, Tanveer Ahmed and Tarikuzzaman Emon. “A Machine Learning based Approach for Mapping Personality Traits and Perceived Stress Scale of Undergraduate Students”, in IJMECS, International Journal of Modern Education and Computer Science (IJMECS), Volume: 11, Issue: 8, Pages: 42-47, DOI: 10.5815/ijmecs.2019.08.05.
Zonayed Ahmed, Adnan Ferdous Ashrafi and Maliha Mahbub. “Clustering based Max-Min Scheduling in Cloud Environment”, in IJACSA, International Journal of Advanced Computer Science and Applications, Volume: 8, Issue: 9, Pages: 278-283, DOI: 10.14569/IJACSA.2017.080940.
Adnan Ferdous Ashrafi, Shah S Mahin and Tarikuzzaman Emon. “Cancerous/Disease DNA Prediction Using Fixed Length Motifs/Frequent Patterns Matching”, in IJSRSET, International Journal of Scientific Research in Science, Engineering and Technology, Volume: 2, Issue: 5, Print ISSN: 2395-1990, Online ISSN: 2394-4099.