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  Dual-Task Real-Time Low-Light Lane and Pothole Detection for Resource-Constrained Environments 

  Md Iftekharul, Alam (2026-01-04)

  Lane detection and road hazard awareness are crucial for ensuring safety in autonomous driving and Advanced Driver-Assistance Systems (ADAS). These systems rely heavily on clear visual cues, which are often compromised ...
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  A Machine Learning Approach for Multi-Level Anxiety Screening among University-Going Students using Wireless EEG Signals 

  Sakib, Nazmus; Islam, Md Kafiul; Faruk, Tasnuva (IEEE, 2025-06-23)

  Anxiety is a widespread mental health condition affecting millions globally, often resulting in significant emotional and physical symptoms. Accurate detection of anxiety levels is essential to provide timely interventions ...
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  EEG-based Mouse Cursor Control using Motor Imagery-based Brain-Computer Interface 

  Rafique, Sayem Bin; Roja, Saima Tasfia; Rhaman, Md. Asikur (2023-10-01)

  A brain-computer interface (BCI) framework uses computer algorithms to detect mental activity patterns and manipulate external devices. Most commonly used in imaging technologies is electroencephalography (EEG) because of ...
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  A Comprehensive Hierarchical Review of Blockchain Technology in Revolutionizing Carbon Emission Trading System 

  Khan, Nayeem; Tahmid, Ahanaf; Monir Adar, Ahasanul (IUB, 2025-08)

  The growing climate crisis has raised the need to search for reliable mechanisms which could reduce greenhouse gas gas emissions worldwide. Carbon markets can continue to play a central role in this effort but often there ...
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  A Unified Lightweight Framework for Detecting Multimodal Attacks 

  Sayem, Md; Rakibul Hasan, Md.; Islam Anika, Morium (IUB, 2025-12-13)

  Modern Vision-Language Model (VLM) has shown tremendous performance in multi- modal reasoning, captioning, retrieval and generative tasks, but it is also fatally suscep- tible to two types of attacks: adversarial ...

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