Dissertations/Theses - Institute of Information and Communication Technology: Recent submissions

  • Efficient and cost effective IOT-based watering system for home gardening 
    Abeedur Rahman Khan (Institute of Information and Communication Technology (IICT), BUET, 2025-01-14)
    Urban home gardening has gained significant popularity in Bangladesh, driven by the increasing demand for fresh produce and the convenience of growing plants in residential spaces. Efficient watering is pivotal to urban ...
  • Design and characterization of highly negative dispersion compensating photonic crystal fiber 
    Ibadul Islam, Md. (Institute of Information and Communication Technology (IICT), BUET, 2025-02-01)
    Photonic Crystal Fiber (PCF) has emerged as a revolutionary advancement in optical fiber technology, offering superior optical properties for highspeed, long-haul communication systems. The increasing demand for highspeed ...
  • Novel uncertainty driven boundary refined convolution neural network for uneven medical image segmentation 
    Riad Hassan, Md. (Institute of Information and Communication Technology (IICT), BUET, 2024-11-30)
    Organ segmentation has become a fundamental challenge for computer-aided intervention, diagnosis, radiation therapy, and critical robotic surgery. Automatic organ segmentation from medical images is easy for large organs ...
  • Development of multiple server monitoring and administration system 
    Arshad Ali, Md. (Institute of Information and Communication Technology (IICT), BUET, 2019-12-14)
    In this era of Information and Communication Technology (ICT), Data centre is a part and parcel of any IT driven business and entrepreneurship. There needs to maintain a number of servers and networks for twenty four hours ...
  • Image-based deep learning architecture for indoor fire and smoke detection 
    Sozol, Md. Shafak Shahriar (2024-12-07)
    Fire incidents are becoming more frequent in both indoor and outdoor settings. To ensure the safety and security of indoor property, it is essential to have an effective fire detection method. Traditional detection techniques ...
  • Towards early detection of keratoconus disease using deep learning models 
    Rabbany, Golam (Institute of Information and Communication Technology (IICT), BUET, 2024-09-10)
    Keratoconus (KCN) is a progressive, non-inflammatory corneal disease that typically begins in early adulthood and leads to vision impairment due to symptoms like corneal thinning, anterior protrusion, and irregular ...
  • Economic denial of sustainability attack detection using ensemble-based machine learning 
    Sharafat Hossain, Md. (Institute of Information and Communication Technology (IICT), BUET, 2024-03-25)
    Cloud computing is developed to meet the demands of diverse IT and computing services delivered over the internet, gaining widespread popularity for providing cost-effective solutions to companies and businesses. However, ...
  • Development of a web-based mcq system higher secondary level: a case study for ict subject. 
    Mustafizur Rahman, Mohammed (Institute of Information and Communication Technology (IICT), BUET, 2023-09-16)
    The rapid digital transformation in education has increased the demand for online test- ing platforms. However, many existing platforms lack content alignment with educa- tional materials, interactivity, and adaptability, ...
  • Real-time hand-gesture recognition for the control of a wheelchair 
    Rafiul Huda, Md. (Institute of Information and Communication Technology (IICT), BUET, 2023-11-18)
    People with motor disabilities are increasing day by day in the world. Many disabled and elderly persons need to use wheelchair for performing regular movements and activities. However, there are a lot of issues and ...
  • Pricing recommender system for E-Commerce platforms 
    Imran Khan, Muhammad (Institute of Information and Communication Technology (IICT), BUET, 2022-03-30)
    E-commerce has drastically scaled up in recent years. As it keeps growing, the competition gets stiffer, and thus, many of the tasks of an e-commerce system requires to be efficiently automated. Some requirements for an ...
  • Real-time distributed denial of service attack detection on software defined networking environment 
    Nayem Khan, Md. (Institute of Information and Communication Technology (IICT), BUET, 2024-03-25)
    In today's increasingly internet-reliant world, cyber-attacks are increasing rapidly. Among these threats, Distributed Denial of Service (DDoS) stands out as a terrible cyber-attack, capable of disrupting access to essential ...
  • Analysis and interpretability of machine learning models to classify thyroid disease 
    Sumya Akter (Institute of Information and Communication Technology, BUET, 2023-10-30)
    Thyroid disease classification plays a crucial role in early diagnosis and effective treat- ment of thyroid disorders. Machine learning (ML) techniques have demonstrated re- markable potential in this domain, offering ...
  • Automated writing evaluation using sentence-level scoring model 
    Hossain, Mehadi (Institute of Information and Communication Technology (IICT), BUET, 2023-11-25)
    Automated evaluation of a writer’s writing abilities involves the utilization of computer programs to assess written work and provide feedback to the writer. This process is commonly used in educational settings to grade ...
  • IoT-based smart water consumption monitoring system for residential complex 
    Imtiaz Ahmed (nstitute of Information and Communication Technology, BUET, 2022-04-01)
    Water scarcity is a pressing global issue, emphasizing the importance of monitoring and conserving water resources. This research introduces an IoT based water consumption monitoring system for residential complexes, ...
  • Hybrid deep learning framework for lung disease diagnosis based on chest radiography images 
    Alam, Fatema Binte (Institute of Information and Communication Technology (IICT), BUET, 2023-10-05)
    Early evaluation and diagnosis serve as the first crucial step towards effective patient management, especially in critical medical conditions like lung diseases. Computer-aided diagnostic systems can help radiologists ...
  • DEVELOPMENT OF ANENSEMBLE FEATURE SELECTION METHOD FOR CLASSIFICATION OF MEDICAL DATA 
    Arju Manara, Begum (Institute of Information and Communication Technology, 2023-02-04)
    Feature selection (FS), a crucial preprocessing step in machine learning, greatly reduces the dimension of the data and improves model performance. By removing irrelevant and redundant features from the feature space, the ...
  • Ensembled machine learning based diabetes prediction: a cross-country perspective 
    Shampa, Sadia Afrin (Institute of Information and Communication Technology (IICT), BUET, 2023-10-14)
    Diabetes is a chronic disease caused by elevated blood sugar levels. Its adverse effects in-clude complications such as cardiovascular diseases, kidney failure, and impaired vision,contributing to a substantial health ...
  • Development of a deep learning framework for the diagnosis of lung infectious diseases 
    Das, Sanchita Rani (Institute of Information and Communication Technology (IICT), BUET., 2023-05-17)
    Deep learning (DL)-based diagnosis of respiratory illnesses has the ability to detect diseases early. However, the success of DL algorithms is dependent on the datasets, therefore developing an algorithm that works with ...
  • Efficient error correction scheme for memristor-based memories 
    Mehedy Hasan Sumon, Md. (Institute of Information and Communication Technology (IICT), 2022-10-29)
    Memristor-based memory is an emerging technology that may replace conventional memory devices due to their compact size, higher density, lower power consumption, faster operating time, non-volatile property, and suitability ...
  • Development of an energy efficient microcontroller based light control system for smart home application 
    Adhikari, Shimul Kumar (Institute of Information and Communication Technology, (IICT), BUET, 2022-11-30)
    Automation is a demand in this era of information and communication technology where a smart control system is used to reduce or replace human operators in the industry, offices or homes. Home automation system is the ...

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