• TRAFFIC SIGN DETECTION UNDER ADVERSE CONDITIONS 

  Mohiuddin, Mohammad; Hasan, Mehedi (Comilla University, 2025-02-01)

  Automatic traffic sign detection and recognition play a crucial role in real-world applications such as autonomous driving systems and driver assistance technologies. This project aims to develop a system using deep learning ...
• SYMPTOM-BASED DISEASE PREDICTION AND PRECAUTION SYSTEM USING MACHINE LEARNING & DEEP LEARNING 

  Hasan , Md Fuad (Comilla University, 2025-02-01)

  The joining of machine learning and common dialect handling (NLP) has changed healthcare, empowering mechanized frameworks for foreseeing and diagnosing maladies. This consideration pointed to create an progressed system ...
• ROAD LANE LINE DETECTION USING U-NET ARCHITECTURE FOR SELF DRIVING CARS 

  Mouri, Ifrat Jahan; Hasan, Md Fuad (Comilla University, 2025-02-01)

  This project introduces a deep learning-based road lane line detection system using the U-Net architecture, aimed at enhancing autonomous driving and advanced driver assistance systems (ADAS). The model is trained on the ...
• Quantum Walk-Enhanced Hybrid Routing: Integrating Local and Non-Local Best-Effort Strategies for Robust Quantum Networks 

  Dhruba, Anjan Das; Hasan , Md. Mehedi (Comilla University, 2025-02-01)

  network nodes. Unlike classical networks, quantum networks require specialized routing strategie due to the no-cloning theorem, entanglement decay, and limited quantum memory. This paper investigates the performance of ...
• Quantum Network Security : 

  Muhaimin, Md. Sayem; Mia, Md Shahin (Comilla University, 2025-02-01)

  Quantum repeater networks are essential for long-distance quantum communication, utilizing entanglement to ensure ultra-secure information exchange. Unlike classical methods, quantum networks rely on qubits and ...

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