9 citations · 17 across the 5 of their papers we have counts for
5 papers
Whitespaces Don't Lie: Feature-Driven and Embedding-Based Approaches for Detecting Machine-Generated Code
Syed Mehedi Hasan Nirob, Shamim Ehsan, Moqsadur Rahman +1
Large language models (LLMs) have made it remarkably easy to synthesize plausible source code from natural language prompts. While this accelerates software development and support…
Handcrafted Feature Fusion for Reliable Detection of AI-Generated Images
Syed Mehedi Hasan Nirob, Moqsadur Rahman, Shamim Ehsan +1
The rapid progress of generative models has enabled the creation of highly realistic synthetic images, raising concerns about authenticity and trust in digital media. Detecting suc…
Predicting skull fractures via CNN with classification algorithms
Md Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur Rahman
Computer Tomography (CT) images have become quite important to diagnose diseases. CT scan slice contains a vast amount of data that may not be properly examined with the requisite…
Classifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning Approach
Md Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur Rahman
Classification of skull fracture is a challenging task for both radiologists and researchers. Skull fractures result in broken pieces of bone, which can cut into the brain and caus…
Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh
Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman +2
Dengue fever has been considered to be one of the global public health problems of the twenty-first century, especially in tropical and subtropical countries of the global south. T…