Ongoing Research

Title	An Ongoing Research Regarding Brain MRIs and Transformers.
Authors	Md Hasib Al Muzdadid Haque Himel
Details	Details will be available soon.

Journal Articles

Title	IsharaNet: A robust nested feature fusion coupled with attention incorporated width scaled lightweight architecture for Bengali sign language recognition. [LATEST]
Authors	Md Hasib Al Muzdadid Haque Himel, Md. Al Mehedi Hasan
Journal	Array [Q1, IF: 4.5, Elsevier]

Title	Feature Fusion Based Ensemble of Deep Networks for Acute Leukemia Diagnosis Using Microscopic Smear Images.
Authors	Md Hasib Al Muzdadid Haque Himel, Md. Al Mehedi Hasan, Taro Suzuki, Jungpil Shin
Journal	IEEE Access [Q1, IF: 3.6, IEEE]

Title	A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound imaging.
Authors	Md Hasib Al Muzdadid Haque Himel, Pallab Chowdhury, Md. Al Mehedi Hasan
Journal	Intelligent Systems with Applications [Q1, IF: 4.3, Elsevier]

Peer-Reviewed Conference Publications

Title	MedPlantNet: Spatial Attention and Residual Multi-Scale Feature Fusion Integrated Deep Network for Medicinal Plants Recognition. Full Text [LATEST]
Authors	Md Hasib Al Muzdadid Haque Himel, Farjana Parvin, Azmain Yakin Srizon
Conference	2024 27th International Conference on Computer and Information Technology [ICCIT]

Title	Channel Attention Integrated Lightweight Deep Neural Network for Bengali Handwritten Numerals Recognition. Full Text [LATEST]
Authors	Md Hasib Al Muzdadid Haque Himel, Farjana Parvin, Azmain Yakin Srizon
Conference	2024 27th International Conference on Computer and Information Technology [ICCIT]

Title	A Lightweight Width Scaled Architecture Integrating Nested Feature Fusion for Bengali Sign Numerals Recognition. Full Text [LATEST]
Authors	Md Hasib Al Muzdadid Haque Himel, Pallab Chowdhury, AFM Minhazur Rahman
Conference	2024 27th International Conference on Computer and Information Technology [ICCIT]

B.Sc. Thesis

Title	Comparative Analysis of Different Feature Extraction Techniques for Hyperspectral Image Classification.
Authors	Md Hasib Al Muzdadid Haque Himel, Sadia Zaman Mishu [Supervisor]
Status	Not Published
Overview	Dimensionality [High] reduction was given priority. Segmented Principal Component Analysis [SPCA] was utilized. Support Vector Machine [SVM] classifier was given priority. A comparative analysis was conducted.