A.R.i.S.E — Articulated Research Institute For Scientific Excellence
Publications

Our Publications

Research contributions from the ARiSE team and affiliates, searchable by title, author, venue, or topic.

2024Conference Paper

Advanced CNN and Explainable AI Based Architecture for Interpretable Brain MRI Analysis

Shuvashis Sarker, Shamim Rahim Refat, Faika Fairuj Preotee, Tashreef Muhammad

ACM · Proceedings of the 3rd International Conference on Computing Advancements

2024Conference Paper

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI

Faika Fairuj Preotee, Shuvashis Sarker, Shamim Rahim Refat, Tashreef Muhammad, Shifat Islam

IEEE · 2024 27th International Conference on Computer and Information Technology (ICCIT)

2026Journal Article

ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition

Bidyarthi Paul, Faika Fairuj Preotee, Shuvashis Sarker, Shamim Rahim Refat, Shifat Islam, Tashreef Muhammad, Mohammad Ashraful Hoque, Shahriar Manzoor

PLOS ONE · PLOS ONE, Volume 21, Issue 2

2024Conference Paper

Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models

Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Bidyarthi Paul, Tashreef Muhammad

IEEE · 2024 27th International Conference on Computer and Information Technology (ICCIT)

2024Conference Paper

Deep Learning-based Multi-Class Brain Abnormality Diagnosis on Bangladeshi MRI Images

Md Rakibul Hasan, Nusrat Jahan, Shifat Islam, Tashreef Muhammad

IEEE · 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)

2024Conference Paper

Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures

Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Tashreef Muhammad, Shifat Islam

IEEE · 2024 27th International Conference on Computer and Information Technology (ICCIT)

2024Conference Paper

Improving Bangla Regional Dialect Detection Using BERT, LLMs, and XAI

Bidyarthi Paul, Faika Fairuj Preotee, Shuvashis Sarker, Tashreef Muhammad

IEEE · 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS)

2025Conference Paper

LeafVRNet: An Explainable Feature Fusion Framework for Interpretable Plant Leaf Disease Detection

Tahsin Shuborna, Tashfia Shahid Eifa, Shahriar Hossain Arafat, Bidyarthi Paul, Mohammad Shahmidul Islam, Md Rakib Hasan

IEEE · 2025 28th International Conference on Computer and Information Technology (ICCIT)

2025Conference Paper

Comparative Study of LLMs and Transformers for Bangla Healthcare Paraphrasing

Shifat Islam, Md. Shorif Uddin, Rayhan Uddin Bhuiyan, Azizul Hakim, Faika Fairuj Preotee, Mohammad Shahmidul Islam

IEEE · 2025 28th International Conference on Computer and Information Technology (ICCIT)

2025Conference Paper

Tomatose: An Explainable Deep Learning Framework for Tomato Leaf Disease Detection

Bidyarthi Paul, Tashreef Muhammad, Faika Fairuj Preotee, Shohel Babu

IEEE · 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

2024Conference Paper

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection

Shuvashis Sarker, Shamim Rahim Refat, Faika Fairuj Preotee, Shifat Islam, Tashreef Muhammad, Mohammad Ashraful Hoque

IEEE · 2024 27th International Conference on Computer and Information Technology (ICCIT)

2026Journal Article

VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification

Shamim Rahim Refat, Ziyan Shirin Raha, Shuvashis Sarker, Faika Fairuj Preotee, MD Musfikur Rahman, Tashreef Muhammad, Mohammad Shafiul Alam

Springer · Biomedical Materials & Devices