6 papers
Adaptive Enhancement and Dual-Pooling Sequential Attention for Lightweight Underwater Object Detection with YOLOv10
Md. Mushibur Rahman, Umme Fawzia Rahim, Enam Ahmed Taufik
Underwater object detection constitutes a pivotal endeavor within the realms of marine surveillance and autonomous underwater systems; however, it presents significant challenges d…
Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis
Enam Ahmed Taufik, Abdullah Khondoker, Antara Firoz Parsa +1
Accurate skin disease classification is a critical yet challenging task due to high inter-class similarity, intra-class variability, and complex lesion textures. While deep learnin…
How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text?
Abdullah Khondoker, Enam Ahmed Taufik, Md. Iftekhar Islam Tashik +2
The spread of cyber hatred has led to communal violence, fueling aggression and conflicts between various religious, ethnic, and social groups, posing a significant threat to socia…
Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism
Enam Ahmed Taufik, Antara Firoz Parsa, Seraj Al Mahmud Mostafa
Enhancing plant disease detection from leaf imagery remains a persistent challenge due to scarce labeled data and complex contextual factors. We introduce a transformative two-stag…
Unlocking the Potential of Multiple BERT Models for Bangla Question Answering in NCTB Textbooks
Abdullah Khondoker, Enam Ahmed Taufik, Md Iftekhar Islam Tashik +2
Evaluating text comprehension in educational settings is critical for understanding student performance and improving curricular effectiveness. This study investigates the capabili…
Advancements and Challenges in Bangla Question Answering Models: A Comprehensive Review
Md Iftekhar Islam Tashik, Abdullah Khondoker, Enam Ahmed Taufik +2
The domain of Natural Language Processing (NLP) has experienced notable progress in the evolution of Bangla Question Answering (QA) systems. This paper presents a comprehensive rev…