Department of Information and Communication Technology (ICT): Recent submissions

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Mia, Palash; Mamun, Md Al (Comilla University, 2025-02-01)
    Agriculture is a key sector in Bangladesh, providing employment and sustenance to a significant portion of the population. However, many farmers struggle with selecting the most suitable crops for their land and applying ...
  • Islam, Md. Ashikul; Afrin, Mst Sungeda (Comilla University, 2025-02-01)
    This study is meant to serve as a reference for academics and engineering students who are very interested in blockchain, decentralized storage, and medical technology. In order to provide future contributors a thorough ...
  • Mia, Rahim; Rakib, Saiful Islam (Comilla University, 2025-02-01)
    Image classification is a fundamental task in machine learning, with applications in medical imaging, remote sensing, and autonomous systems. However, the increasing complexity and high-dimensional nature of image datasets ...
  • Jalal, Shah; Hossain , Md. Robin (2025-02-01)
    Medical image classification plays a crucial role in healthcare, enabling accurate disease diagnosis and treatment planning. Traditional deep learning models, such as Convolutional Neural Networks (CNNs), have demonstrated ...
  • Abdullah, Eftekhar Nahim; Nazia, Jannatun Nawar (Comilla University, 2025-02-01)
    Increased population, faster urbanization, and industrialization are the main reasons for ecological contamination. The amount of waste products has increased to the point that they pose a threat to both human health and ...
  • Islam, Md. Saiful; Mia, Md. Shahansha (Comilla University, 2025-02-01)
    Interest in automatically classifying people's age and gender from face photographs has grown since the introduction of social media. Thus, the age and gender categorization process is an essential step in many applications, ...
  • Roy , Suprama (Comilla University, 2025-02-01)
    The Fruit Ripeness Detection project aims to develop an automated solution for detecting the ripeness of fruits using deep learning techniques, specifically leveraging the VGG16 model. The project focuses on classifying ...
  • Riddy, Jannatun Fertheous; Jahan, Tanjila (Comilla University, 2025-02-01)
    AI is rapidly transforming various industries, but its ethical challenges, such as bias, transparency, accountability, and privacy, need careful consideration. While AI improves efficiency in healthcare, education, business, ...
  • Pal, Prokash; Tajrin, Nushera (Comilla University, 2025-02-01)
    Particularly in countries like Bangladesh, where delayed diagnosis and limited healthcare resources exacerbate its impact. Traditional diagnostic methods are often costly and time-consuming, leading to late-stage detection ...
  • Nowar, Sohana (Comilla University, 2025-02-01)
    People's communication methods are changing due to rapid advancements in technology. As the Internet has grown, social media platforms like Facebook, Instagram, Telegram, and Twitter have gained prominence as places for ...
  • Hasan, Md Mahedi; Rahman, Marfater (Comilla University, 2025-02-01)
    Comilla University Hall Management System is a software developed for managing colorful conditioning in the residence. There are five resident halls for the scholars of Comilla University. As the number of halls are adding ...
  • Latif, Md. Abdul (Comilla University, 2025-02-01)
    The implementation of number plate recognition systems has significantly improved the city's traffic conditions. These systems provide guidance for creating an efficient intelligent transportation system. With the rapid ...
  • Alam, Md.Ashraful (Comilla University, 2025-02-01)
    Online payments have been appealing because of how easy it is to make a payment while seated anywhere in the world. Online payments have increased within the last few decades. E-payments allow both consumers and corporations ...
  • Sarkar, Md. Mahmudur Rahman; Sarkar , Proma (Comilla University, 2025-02-01)
    The present document is a project carried out in the field of engineering to create a system for the prediction of brain stroke using machine learning. A major cause of death and disability worldwide, including in places ...
  • Akier, Kuhinoor (Comilla University, 2025-02-01)
    Machine learning has revolutionized various industries worldwide, including healthcare, by enabling predictive analytics for disease diagnosis and prognosis. One of its most promising applications is in the early detection ...

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