DIU Institutional Repository: Recent submissions

  • Community Perceptions and Coping Strategies in the Face of Climate-Induced Disasters: A Case Study in the Barguna District 
    Daiyan, Md Mahir (Daffodil International University, 2024-04-30)
    Barguna is a district in Bangladesh known for its abundant natural resources, yet it is also susceptible to natural calamities. Annual natural disasters result in significant devastation in this region. The increase in ...
  • Investigation of Riverbank Erosion Towards Migration Pattern in Kazipur Upazila, Sirajgonj Area 
    Sadiq, Mahmud (Daffodil International University, 2024-04-30)
    Worldwide, communities who live near riverbanks face a serious threat from riverbank erosion, which can cause migration and displacement patterns that have a substantial influence on both environmental sustainability and ...
  • Medical Waste Management of Rangpur City in Bangladesh 
    Hossain, Tasnuva (Daffodil International University, 2024-04-30)
    The purpose of the study was to know the current Medical Waste Management of Rangpur City. Eighty three people were selected through the survey from two hospitals and three diagnostic centers of Rangpur city, Bangladesh. ...
  • Climate Change Impact, Loss and Damage in 45-Polder Area (Barguna): Land Use and Land Cover Change (LULC) and Local Led Adaptation 
    Taskin, Mongurul Islam (Daffodil International University, 2024-04-30)
    In Bangladesh, loss and damage are increasing rapidly due to climate change. Bangladesh needs the most reliable climate change adaptation strategy for the coastal areas. The study utilized qualitative and quantitative ...
  • Impact of Brick Field on Environment, Socio-Economic, and Human Health at Dhamrai Upazila, Dhaka 
    Roni, Md. (Daffodil International University, 2024-04-25)
    This study examined brickfields' environmental, socio-economic, and human health impacts at Dhamrai upazila of Dhaka district, Bangladesh. Burning bricks pollute the environment, harm ecosystems, and emit greenhouse gases ...
  • Deceptive narrative ml: unveiling fake news 
    Ayatullah, Md. (Daffodil International University, 2024-01-25)
    The problem of fake news is a big issue nowadays, with difficulties being caused by false information. This study examines the use of machine learning (ML) to detect fake information. Fake news, which often appears real, ...
  • Dengue fever prediction using machine learning techniques 
    Mozumder, Md: Kamrul Hasan (Daffodil International University, 2024-01-25)
    The rapid and broad spread of the virus that causes dengue is a hallmark of the dengue, a global epidemic, a worldwide health problem. Using data from Kaggle, this project is about predicting Dengue Fever through machine ...
  • Food review management 
    Ahmed, Izaz (Daffodil International University, 2024-01-25)
    Food review Management is a dedicated Android application for the culinary enthusiasts of Daffodil International University. This user-friendly app streamlines the process of reviewing foods in campus restaurants. With ...
  • Mental health among university students in Bangladesh is forecasted using machine learning 
    Shawn, Md. Sadiqul Islam (Daffodil International University, 2024-01-25)
    Medical professionals diagnose depression based on patient self-reporting and mental status questionnaires. Mentally ill people are reluctant to seek mental health treatment, in addition to the fact that the approaches ...
  • A machine learning approach to detect intrusion 
    Shaon, Md. Shahriar Parvez (Daffodil International University, 2024-01-24)
    The rapid growth of interconnected digital device and the advancement of technology, the data security become an issue now a days. This leads various type of cyberattacks. In order to detect and effectively analyze ...
  • A novel approach to phishing detection and prevention using URL features and machine learning techniques 
    Haque, S. M. Mahamudul (Daffodil International University, 2024-01-25)
    Phishing attacks have emerged as a prevalent method hackers employ to deceive users and get unauthorized access to their personal information. These attacks aim to deceive users into revealing sensitive information, such ...
  • Heart disease prediction using machine learning 
    Alam, A.K.M Tanvir (Daffodil International University, 2024-01-25)
    Heart disease is getting increasingly widespread, and it has a high fatality rate throughout the world. Heart disease has become a major health concern for many individuals and the leading cause of mortality worldwide ...
  • Lemon disease classification using CNN-based architectures 
    Zohura, Mst. Fatematuz (Daffodil International University, 2024-01-23)
    The focus of my study, "Lemon disease classification using CNN-based architecture," is image-based disease detection. Significant progress has been achieved in image processing, and artificial intelligence and its uses ...
  • Performance comparison of YOLOv5 and YOLOv8 for Plumeria Leaf Gall detection 
    Mahin, Md. Shafayat (Daffodil International University, 2024-01-25)
    Leaf galls are abnormal plant growths resulting from insect parasitism, which can cause major agricultural losses if not managed in a timely manner. Precise early detection of leaf galls is crucial for enabling targeted ...
  • Local bird species classification using advanced deep learning architecture 
    Sourov, Md. Abugalib (Daffodil International University, 2024-01-24)
    The goal of this research is to create a reliable system for classifying local bird species using modern deep learning architectures. The dataset forms the basis for this study and consists of 1,179 photos covering seven ...
  • A proposed deep learning approach for Bangla handwritten character recognition 
    Mahmud, Shadhin (Daffodil International University, 2024-01-22)
    The present research on Bangla Handwritten Character Identification investigated a wide range of deep learning architectures, including DenseNet201, VGG19, MobileNetV2, ResNet101, CNN01, and CNN02, and evaluated their ...
  • Bangladeshi rice & tea leaf disease detection using machine learning 
    Rakib, Md. (Daffodil International University, 2024-01-22)
    Bangladesh's economy is based primarily on agriculture, with the production of tea and rice being essential to maintaining livelihoods and food security. The persistent risk of illnesses in rice and tea plants, however, ...
  • Internship on network management & security system of Globaltech 
    Khatun, Aklima (Daffodil International University, 2024-01-25)
    This Internship on “Network Management & Security System of Globaltech”, Today's computer networks have gone from typically being a small local area network to wide area networks. With continuous growth of the networking, ...
  • Find my lawyer: a platform that can give you a perfect lawyer 
    Rayhan, Md. Abu (Daffodil International University, 2024-01-25)
    Find My Lawyer is a web-based platform designed to automate the entire examination procedure. This makes it easy to communicate with a lawyer. Nowadays, all work we can do from home, like telemedicine, shopping, housework, ...
  • Web based application: destination of travelers 
    Halder, Bitan (Daffodil International University, 2024-01-25)
    The project's Web-based Destination Of Travelers Platform seeks to transform how people organize, reserve, and enjoy their travels and also save money. The demand for a comprehensive, user-friendly, and efficient online ...

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