Faculty of Science and Information Technology: Recent submissions

  • Cyberbullying detection on Bangla social media comments 
    Bhuyain, Md. Arman (Daffodil International University, 2024-01-01)
    This study investigates the potential of machine learning algorithms in detecting signs of depression within Bengali text on social media platforms. As mental health concerns continue to rise globally, understanding ...
  • Parkinson disease detection using machine learning with Explainable AI 
    Ferdaous, Jannatul (Daffodil International University, 2024-01-26)
    Aside from its effects on the nervous system, Parkinson's disease also modifies the physiological functions that the nervous system regulates. The progressive nature of Parkinson's disease makes it a degenerative disorder. ...
  • Smart-DIU: routine scrapper with some more features website for teachers and students 
    Tura, Sanjita Israt (Daffodil International University, 2024-01-22)
    Many times students have to face trouble to find a teacher. Again I know that the routine whichis sent to us through email from the department contains all the sections of all the batchestogether. It becomes very difficult ...
  • What a pregnant lady should eat: a machine learning empowered web-based application to detect food 
    Bishal, Sabria Alam (Daffodil International University, 2024-01-01)
    It's critical for the growth of the fetus as well as the health of the mother to get enough nutrients throughout pregnancy. Women need special attention throughout pregnancy. Maintaining a balanced diet and sufficient ...
  • Understanding public sentiment using social media activities: a machine learning approach 
    Habib, Md. Ferdous (Daffodil International University, 2024-01-24)
    People use different social media platform to express their thoughts in their profiles or write comments on various aspects of world. Then a huge amount of data is generated and are stored on the internet in an unorganized, ...
  • Sentiment analysis on Bangladesh cricket team's World Cup prospects: a study of Bengali social media comments" 
    Smrity, Sharmina Urmila (Daffodil International University, 2024-01-01)
    The Bangladesh cricket team has developed a sizable following on social networking sites, where supporters share their thoughts, feelings, and sentiments regarding the team's performance. The purpose of this thesis is ...
  • A proposed deep learning approach for detecting brinjal plant diseases. 
    Hasan, Md Mustakin (Daffodil International University, 2024-01-22)
    The article provides a unique deep learning strategy for automatic recognition of brinjal plant diseases, using a large dataset that contains varied events of Phytophthora Blight, Leaf Curl Disease, Withering Leaves, ...
  • Hashtag CSE mobile application 
    Jibon, Shakh Istiak Hossain (Daffodil International University, 2024-01-01)
    In the dynamic realm of Computer Science and Engineering (CSE) education at DIU, I identified a common challenge faced by students a lack of readily available answers to the myriad questions that arise in our daily ...
  • A model for predicting Ethereum future price rates using machine learning 
    Azad, Shiam Bin (Daffodil International University, 2024-01-01)
    Considered by many to be the forerunner of smart contract technology, Ethereum has become a widely used blockchain platform. Beyond being a cryptocurrency, Ethereum's main purpose is to offer a decentralized platform for ...
  • A Machine learning approach to smartphone addiction prediction 
    Niloy, Nahid Ahmed (Daffodil International University, 2024-01-01)
    In our tech-filled world, smartphones have become a big part of our lives, but sometimes, people find themselves using them a bit too much, causing issues for themselves and those around them. This happens because we ...
  • Contrastive learning approaches for ophthalmic biomarker identification: unveiling insights into eye health 
    Chamok, Farjana Haque (Daffodil International University, 2024-01-01)
    The field of ophthalmic biomarker identification plays a pivotal role in understanding and monitoring eye health. In this study, I leverage the EfficientViT_m5.r224_inlk model as our foundational framework to explore ...
  • e-LibraryX: Enhancing and Easing the Digital Library Experience 
    Azam, Kazi Shafiul (Daffodil International University, 2024-01-01)
    The online library management system is a significant development in the field of library services that seeks to optimise and change conventional methods by incorporating modern technologies. Essentially, the system aims ...
  • Deceptive narrative ml: unveiling fake news 
    Ayatullah, Md. (Daffodil International University, 2024-01-01)
    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, 2024-01-01)
    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, 2024-01-01)
    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 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, 2024-01-25)
    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, 2024-01-01)
    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 ...

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