6 papers
A Dual Pipeline Machine Learning Framework for Automated Multi Class Sleep Disorder Screening Using Hybrid Resampling and Ensemble Learning
Md Sultanul Islam Ovi, Muhsina Tarannum Munfa, G. M. M Miftahul Alam Adib +1
Accurate classification of sleep disorders, particularly insomnia and sleep apnea, is important for reducing long term health risks and improving patient quality of life. However,…
Quantitative Currency Evaluation in Low-Resource Settings through Pattern Analysis to Assist Visually Impaired Users
Md Sultanul Islam Ovi, Mainul Hossain, Md Badsha Biswas
Currency recognition systems often overlook usability and authenticity assessment, especially in low-resource environments where visually impaired users and offline validation are…
Protecting Student Mental Health with a Context-Aware Machine Learning Framework for Stress Monitoring
Md Sultanul Islam Ovi, Jamal Hossain, Md Raihan Alam Rahi +1
Student mental health is an increasing concern in academic institutions, where stress can severely impact well-being and academic performance. Traditional assessment methods rely o…
Performance Characterization of Distributed Deep Learning Strategies: A Quantitative Evaluation of DDP, FSDP, and Parameter Server Architectures on GPU Clusters
Md Sultanul Islam Ovi
Efficiently scaling deep neural networks across GPU clusters requires navigating complex trade-offs between computational throughput, memory utilization, and synchronization overhe…
Benchmarking ChatGPT, Codeium, and GitHub Copilot: A Comparative Study of AI-Driven Programming and Debugging Assistants
Md Sultanul Islam Ovi, Nafisa Anjum, Tasmina Haque Bithe +2
With the increasing adoption of AI-driven tools in software development, large language models (LLMs) have become essential for tasks like code generation, bug fixing, and optimiza…
PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
Md Sultanul Islam Ovi, Md. Hasibur Rahman, Mohammad Arif Hossain
Phishing attacks are a growing cybersecurity threat, leveraging deceptive techniques to steal sensitive information through malicious websites. To combat these attacks, this paper…