Faculty of Science and Information Technology: Recent submissions

  • Machine Learning Models in Safeguarding Against Data Breaches 
    Hasan, Kamrul (Daffodil International University, 2024-07-13)
    Cloud computing has become increasingly popular, drawing investments from organizations for internal use or as service providers. However, this growth has brought about various security challenges that impact industries ...
  • Local Winter Vegetable Recognition using Deep Learning Techniques 
    Alom, Md. Nure (Daffodil International University, 2024-07-15)
    This study focuses on the use of deep learning techniques to recognize local winter vegetables, which is a vital part of agricultural precision farming. Tomato Leaf Blight Disease, Eggplant Healthy Leaf, Potato Leaf ...
  • Turf Booking: A Web Based Application 
    Sadat, Mahadi Samin (Daffodil International University, 2024-07-15)
    The Turf Booking System is a web-based Application that makes booking and managing turf facilities with a straightforward interface. Users can seamlessly plan their activities, book desired facilities, and oversee their ...
  • Property Rental - A Web Application 
    Ani, Mahmud Reza Chowdhury (Daffodil International University, 2024-07-15)
    This web application, known as "Property Rental," is designed to simplify the process of finding and renting accommodation for students enrolled at DIU (Daffodil International University). Tailored to meet the specific ...
  • Brain Tumor Detection Using Image Processing 
    Shafi, Md: Emam (Daffodil International University, 2024-07-13)
    This academic paper presents a novel method for identifying brain tumors by utilizing sophisticated (CNN) architectures. This so many hard detect brain tumor cell for a doctor. So, our main goal is to detect brain tumor ...
  • Dragon fruits stem disease classification using deep learning 
    Akter, Mst Mohsina; Mumu, Sakin Jahan (Daffodil International University, 2024-07-15)
    Dragon Fruits Stem Disease Classification is a critical task in agriculture to ensure the health and productivity of dragon fruit crops. Utilizing deep learning techniques, this study aims to accurately classify various ...
  • Emotion That Speaks: Peering Beyond the Obvious with Deep Learning for Emotion Recognition 
    l Hossen, Md Shaki; Shimul, Nazmul Islam (Daffodil International University, 2024-07-13)
    Human emotions are spontaneous mental states produced by changes in facial muscles, leading to expressions. In various human-computer interaction applications, techniques for nonverbal communication like facial expressions, ...
  • A Machine Learning Approach for Predictive-Probability Analysis and Preventive Strategies in Dengue Feve 
    Amid, Abdul Fattah; Jahid, Ashraful Islam (Daffodil International University, 2024-07-13)
    Dengue fever, a common mosquito-borne viral infection, often goes undiagnosed until severe symptoms appear. Early detection is important for effective management and prevention of complications. This study explores the ...
  • Automated Detection of Tomato Leaf Diseases using Convolutional Neural Networks (CNNs) 
    Ovi, Hadiuzzaman (Daffodil International University, 2024-07-13)
    The agricultural sector plays a crucial role in ensuring global food security, with tomatoes being a significant crop contributing to both economic and nutritional aspects. However, the presence of diseases can severely ...
  • Lung Cancer Prediction Using Machine Learning Techniques 
    Akash, M.K. (Daffodil International University, 2024-07-13)
    In my thesis project, "Lung Cancer Prediction Using Machine Learning Techniques," I aimed to develop a reliable system for predicting lung cancer risk through the application of various machine learning algorithms. The ...
  • Bengali slang language detection using machine learning 
    Rimi, Umme Arifa (Daffodil International University, 2024-07-13)
    The rise of online communication platforms has significantly increased slang use, posing a challenge for content control and mood analysis. This study aims to detect Bengali slang using advanced machine learning methods, ...
  • A Machine Learning Approach to Detecting Suicidal Tendencies in Adolescents 
    Islam, Rafi; Sweety, Sultana Akter (Daffodil International University, 2024-07-13)
    Nowadays suicide has become a serious crime. People commit suicide for many reasons. Due to the advancement of social media, people post various types of posts before committing suicide. Understanding the environmental ...
  • Blossomcart- an online nursery store for plants 
    Sultana, Tania (Daffodil International University, 2024-07-13)
    Blossom Cart is a web-based platform that seeks to create a seamless and enjoyable online shopping experience for plant enthusiasts. The project features two main user roles: administrators and regular users. Administrators ...
  • Physics-informed neural networks for simulating 1D and 2D heat transfer equations 
    Tahmin, Tamanna (Daffodil International University, 2024-07-13)
    In this study, we present the simulation of 1D and 2D heat transfer equations using physics- informed neural networks (PINNs) to predict temperature distributions over time. PINNs leverage the underlying physical laws ...
  • Detecting cyber bullying in the social media using deep learning and ensemble algorithms 
    Shanto, Sheikh Forid Ahmed (Daffodil International University, 2024-07-13)
    Cyberbullying, a pervasive issue in the digital age, poses a serious threat to individuals' well-being, necessitating advanced technologies for effective detection and mitigation. This research focuses on the detection ...
  • Mobile users behaviour prediction using machine learning 
    Roy, Uthsha (Daffodil International University, 2024-07-13)
    The rapid integration of mobile technology into everyday life has created unprecedented opportunities and challenges in understanding and predicting mobile user behavior. This paper offers a comprehensive survey of various ...
  • An advanced deep learning approach for cat breed classification 
    Das, Tanni; Rumu, Rumanna Aktar (Daffodil International University, 2024-07-13)
    In this paper, an improved deep learning method is proposed to recognize the cat breeds with high accuracy and high CNN structures. The dataset, sourced from Kaggle, comprises 2,557 labeled images across four distinct ...
  • Wheat Leaf Disease Detection And Solution Using Deep Learning Algorithms 
    Prayash, Shafayat Hossain; Siddik, Abu Bakar (Daffodil International University, 2024-07-14)
    In the field of agricultural science, the automated detection of wheat leaf diseases is essential for the preservation of crop health and the guarantee of optimal agricultural productivity. The necessity of sophisticated ...
  • Adhd prediction using machine learning algorithms 
    Saniat, Sadnam (Daffodil International University, 2024-07-13)
    This study analyzes the use of machine learning algorithms to predict Attention Deficit Hyperactivity Disorder (ADHD) based on a number of feature sets. A dataset from online containing demographic information, personality ...
  • A Deep Learning Approach For Precise Classification Of Nasal Polyps: Distinguishing Antrochoanal Polyps And Ethmoidal Polyps 
    Maowa, Jannatul; Shahriar, Md.Shihab (Daffodil International University, 2024-07-13)
    Nasal polyps are benign growths that occur within the sinuses or nasal passages. Because of their interconnected characteristics and diverse appearance, they present significant challenges in terms of diagnosis and ...

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