2 citations · 2 across the 5 of their papers we have counts for
6 papers
When Less Is Enough: Context Selection and Prompting Strategies for Bengali News Headline Generation
Muhammad Ashad Kabir, Kawsar Ahmed, Md. Osama
Large language models (LLMs) have shown strong performance in text generation tasks, yet their effectiveness on headline generation remains sensitive to how input context is select…
ELMF4EggQ: Ensemble Learning with Multimodal Feature Fusion for Non-Destructive Egg Quality Assessment
Md Zahim Hassan, Md. Osama, Muhammad Ashad Kabir +2
Accurate, non-destructive assessment of egg quality is critical for ensuring food safety, maintaining product standards, and operational efficiency in commercial poultry production…
Self-Guided Virtual Reality Therapy for Anxiety: A Systematic Review
Winona Graham, Russell Drinkwater, Joshua Kelson +1
Virtual reality (VR) technology can be used to treat anxiety symptoms and disorders. However, most VR interventions for anxiety have been therapist guided rather than self-guided.…
An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types
Sauda Adiv Hanum, Ashim Dey, Muhammad Ashad Kabir
The skin, as the largest organ of the human body, is vulnerable to a diverse array of conditions collectively known as skin lesions, which encompass various dermatoses. Diagnosing…
BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion
Md Osama, Ashim Dey, Kawsar Ahmed +1
Automatic text summarization, particularly headline generation, remains a critical yet underexplored area for Bengali religious news. Existing approaches to headline generation typ…
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19
Danny Falero, Muhammad Ashad Kabir, Nusrat Homaira
Artificial intelligence (AI) has emerged as a promising tool for predicting COVID-19 from medical images. In this paper, we propose a novel continual learning-based approach and pr…