Faculty of Science and Information Technology: Recent submissions

  • Summarizing text creatively: an abstractive approach 
    Saha, Noyon Chandra (Daffodil International University, 2024-07-24)
    This research investigates recent advancements 2018 to 2024 in abstractive text summarization. I explore the current state of the art and identify key challenges. This study proposes a methodology utilizing fine-tuned ...
  • Soil Condition Monitoring for organic tea plantation by using machine learning 
    Hossain, Md. Emran; Dristy, Dil Afrose (Daffodil International University, 2024-07-24)
    In tea farming, it is important to monitor soil conditions so as to maintain good health of the soil and a high-quality tea. In this research, machine learning techniques are employed to optimize soils management practices ...
  • Deep Learning Approaches For The Detection And Classification Of Potato Leaf Diseases 
    Azam, Md. Rifat (Daffodil International University, 2024-07-24)
    The increasing number of potato leaf diseases offers a danger to global food security, necessitating creative technologies for rapid and precise identification. This work proposes a novel approach leveraging advanced ...
  • Dengue Disease Prediction by Machine Learning Algorithm in Bangladesh 
    Kibria, Md. Golam; Ha-mim, Fatema (Daffodil International University, 2024-07-24)
    In Bangladesh, dengue fever is still a major public health issue that presents difficult management and preventative strategies. Proactive steps to lessen dengue's negative effects on public health can be made easier ...
  • Paddy leaf disease detection using a deep transfer learning approach 
    Ridwan, Md.; Faruk, Md. Omar (Daffodil International University, 2024-07-13)
    Paddy leaf diseases pose a significant threat to crop fields and agricultural productivity, necessitating efficient detection methods for timely intervention. This study provides a comprehensive overview of recent ...
  • Real-time mandarin plant species classification using deep learning approach 
    Ahmed, Imtiaz; Ahmed, Mahin (Daffodil International University, 2024-07-24)
    In this study, the research into the immediate classification of Mandarin plant species by applying a deep learning method. The more and more people want to find the best way to identify the plant species, especially in ...
  • The Role of Machine Learning in Improving Malware Security in Fog Computing Platforms 
    Chakraborty, Shimul (Daffodil International University, 2024-07-13)
    Using ML in malware protection systems for fog computing platforms is a groundbreaking way to enhance cybersecurity in the age of the Internet of Things. Because fog computing is located close to end devices and has a ...
  • Automated Event Log Analysis And Alert System Via Email 
    Khan, Md. Tarek (Daffodil International University, 2024-07-24)
    The analysis of Windows event logs forms a vital basis today in this fast-changing cyber landscape for obtaining control accompanied by integrity and security of IT ecosystems. Traditional manual log analysis is, however, ...
  • An explainable graph-based approach to agriculture crop disease identification 
    Hosen, Md Jabed (Daffodil International University, 2024-07-13)
    Accurate identification of pests and crop diseases is crucial for modern agriculture and the preservation of the environment. This paper presents G-AgriNet, a state-of-the-art automated system developed specifically for ...
  • Waste Classification Using Transfer Learning and DenseNet 
    Islam, Sabrina (Daffodil International University, 2024-07-24)
    Efficient waste management is an essential component of sustainable development, because using traditional methods can be time-consuming and hazardous to the environment. Automating trash categorization procedures through ...
  • Betel Leaf Disease Detection Using Deep Learning 
    Rizon, Md. Razoun Islam; Mitul, Md Shahed Hasa (Daffodil International University, 2025-09-16)
    Betel leaf is a crop of economic importance in South Asia and field diagnosis is slow, subjective and constrained by the availability of expert opinion of the foliar disease. This thesis constructs and analyze an effective ...
  • A Hybrid CNN-SVM Model for Multi- Classification of Mango Leaf Disease 
    Muttalib, Maliha (Daffodil International University, 2025-09-17)
    Mango leaf spot diseases significantly affect the health and yield of mango trees, posing a serious threat to agricultural productivity in tropical regions. Traditional disease detection methods are often labor-intensive, ...
  • Advancing Bangla Tense Classification: A Comparative Study of RNN, CNN-LSTM Hybrids, and Transformer-Based Models 
    Heera, Mohidul Islam (Daffodil International University, 2025-09-17)
    It is difficult to determine tense in Bangla text due to its morphological complexity, syntactic variation and the absence of annotated corpus. This study uses the BanglaTense dataset with 17,819 sentences labelled into ...
  • Gonona - Inventory Management System for Small Businesses 
    Hossain, Md. Rifat (2025-09-17)
    Inventory management is a critical component of any retail or product-based business, directly impacting profitability, customer satisfaction, and operational efficiency. This project introduces a Software-as-a-Service ...
  • Clinical-Grade Precision Without the Complexity: A YOLO-Based Brain Tumor Detection Framework 
    Efaz, Md. (Daffodil International University, 2025-09-16)
    The precise and efficient diagnosis of brain tumors in magnetic resonance (MR) images is extremely important as it enable to treat these kinds of the disease earlier and more effectively. Although models from the YOLO (You ...
  • Betel Leaf Disease Detection Using Machine Learning 
    Akter, Roksana (Daffodil International University, 2025-09-17)
    This report discusses the design, development, and evaluation of a Betel Leaf Disease Detection System that aims to utilize machine learning and mobile technology to enhance agricultural practices. The main goal of the ...
  • Utilizing Machine Learning Techniques for the Prediction of Cardiac Diseases 
    Newaz, Md. Hadiuzzaman (Daffodil International University, 2024-07-24)
    Heart and circulatory system disorders (CVDs) remain the primary cause of mortalityglobally, necessitating innovative approaches for early diagnosis and treatment. This research explores the use of machine learning methods ...
  • Ecommerce Website with Ecommerce Tracking 
    Islam, Md. Shariful (Daffodil International University, 2024-07-24)
    In today's world, people's lifestyles are largely digital and automated. They want to find things faster and more easily than ever before, and the internet has a huge impact on this. An "Ecommerce Website" plays an ...
  • Image Based Cattle Nose Print Recognition Technology: 
    Hasan, Md. Sayed; Saha, Utsa Kumar (Daffodil International University, 2024-07-13)
    Cow identification is a critical aspect of livestock management, contributing to efficient record-keeping, insurance, and tracking systems. Traditional methods are labour-intensive and prone to errors. In this thesis, ...
  • Body scanner sensor assessment using artificial intelligence. 
    Islam, Tanbhirul (Daffodil International University, 2024-07-24)
    An autonomous scanner sensor recognition system depending on the DenseNet201 Transfer Learning model is recommended in the present research. consumption of sensor image is significantly influenced by the image's condition. ...

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