Faculty of Science and Information Technology: Recent submissions

  • 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 ...
  • Enhancing Stroke Prediction Dataset Performance Through Dataset Merging and Analyzing Important Feature 
    Riju, Rabeya Sultana (Daffodil International University, 2024-07-13)
    Predictive modeling plays a vital role in stroke prediction, enabling timely intervention in healthcare. It is inevitable that any form of prediction especially in the prediction of stroke would require some form of ...
  • Lemon leaf chemical feature extraction over categorical images using Neural Network 
    Islam, Md Nahidul (Daffodil International University, 2024-07-14)
    This paper convolutional neural networks (CNNs) have shown great promise for the categorization and chemical feature extraction of lemon leaves, among other agricultural applications. This paper investigates the use of ...
  • Dealership Management System 
    Rahman, Mustafijur; Islam, Md. Sherajul (Daffodil International University, 2024-07-13)
    The "Dealership Management System" will be designed as an Android application to revolutionize the management of automotive dealerships in Bangladesh. In a fastly evolving automotive market like Bangladesh, effective ...
  • ARDUINO Based Pick and Place Bot Using Image Detection 
    Bappy, Md. Aslamuzzaman (Daffodil International University, 2024-07-13)
    The contemporary landscape of robotics is marked by the integration of smart technologies to enhance autonomy and utility. This thesis presents the development of an Arduino-Based Pick and Place Bot employing image ...

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