61 citations · 196 across the 23 of their papers we have counts for
23 papers
Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation
Ahmed Akib Jawad Karim, Shahria Hoque, Md. Golam Rabiul Alam +1
Organizational success in todays competitive employment market depends on choosing the right staff. This work evaluates software engineer profiles using an automated staff selectio…
DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning
Md. Saiful Bari Siddiqui, Md Mohaiminul Islam, Md. Golam Rabiul Alam
Overfitting remains a significant challenge in deep learning, often arising from data outliers, noise, and limited training data. To address this, we previously proposed the Divide…
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation
Ahmed Akib Jawad Karim, Kazi Hafiz Md. Asad, Md. Golam Rabiul Alam
This work focuses on the efficiency of the knowledge distillation approach in generating a lightweight yet powerful BERT based model for natural language processing applications. A…
Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis
Tasnim Sakib Apon, Md. Fahim-Ul-Islam, Nafiz Imtiaz Rafin +2
Knee osteoarthritis(KO) is a degenerative joint disease that can cause severe pain and impairment. With increased prevalence, precise diagnosis by medical imaging analytics is cruc…
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
Sakib Anwar Rieyan, Md. Raisul Kabir News, A. B. M. Muntasir Rahman +6
Data fabric is an automated and AI-driven data fusion approach to accomplish data management unification without moving data to a centralized location for solving complex data prob…
A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model
Murad Hasan, Shahriar Iqbal, Md. Billal Hossain Faisal +5
Criminal and suspicious activity detection has become a popular research topic in recent years. The rapid growth of computer vision technologies has had a crucial impact on solving…