Faculty of Science and Information Technology: Recent submissions

  • Dragon fruit stem disease classification using deep learning techniques 
    Abdullah - Al - Noman, Md. (Daffodil International University, 2024-07-13)
    Dragon fruit is one of the highly valued economic and nutraceutical fruits produced in the tropical regions. However, the cultivation of dragon fruit is often affected by several stem diseases that if not controlled on ...
  • Application of quantum CNN empowered a brain app to detect a brain tumor 
    Mira, Maherunnesa; Rimi, Afroza Sultana (Daffodil International University, 2024-07-13)
    High rates of sickness and death from brain tumors make them a major public health problem. This shows how important early discovery and correct classification are for effective treatment. Traditional ways of diagnosing, ...
  • Detection of maize leaf disease using machine learning 
    Khan, Moshiur Rahman (Daffodil International University, 2024-07-13)
    This research investigates the development and optimization of Convolutional Neural Network (CNN) models to accurately detect maize leaf diseases. Utilizing a comprehensive dataset sourced from Kaggle, My target common ...
  • Telecommunication fraud detection by analyzing the content of a Bangla phone call 
    Uzzal, Safiqul Islam (Daffodil International University, 2024-07-13)
    Telecommunication fraud, especially through techniques like phishing calls, poses a significant threat, resulting in substantial financial losses and compromising sensitive personal data. While technological advancements ...
  • Real-time face recognition and prevent unauthorized entry on campus using pre-trained models and opencv 
    Sakib, Md. (Daffodil International University, 2024-07-13)
    Biometrics, involving the analysis of human behavior and characteristics, has become instrumental in enhancing security measures. This paper explores the various approaches employed in face recognition, a pivotal biometric ...
  • “Advanced Natural Language Processing Techniques for Heart Disease Analysis from Medical Reports”, 
    Haque, Faria (Daffodil International University, 2024-07-13)
    This work investigates the use of sophisticated pre-trained language models, such as DistilBERT, DistilRoBERTa, and BETO, for heart disease analysis in the healthcare domain, especially for the classification of heart ...
  • Rice Leaf Disease Detection Using Machine Learning Technique 
    Hasan, Md Mehedi (Daffodil International University, 2024-07-13)
    This study explores the application of deep learning models for the detection of rice leaf diseases, a critical issue impacting global rice production and food security. The research focuses on five advanced deep learning ...
  • An IOT based air pollution detector using esp32- wroom-32 microcontroller 
    Anik, Adnan Islam (Daffodil International University, 2024-07-13)
    In today's world, the Internet of Things (IOT) plays a crucial role, facilitating the connection and communication of automated devices. Through IOT technology, data from the environment can be sensed using various ...
  • An approach of multimedia-controlled al-Quran verses recitation system sentence-by-sentence using natural language processing 
    Fuad, Md. Abdullah Al; Fatema, Shekh Kaniz (Daffodil International University, 2024-07-13)
    In this present era, the Islamic holy religious pieces of literature are the Holy Al-Quran and the Hadiths which can be found in digital forms on smartphones, websites, computers, and in other technologies using social ...
  • Foodu a web-based online food ordering application 
    Parves, Md. Al-Amin (Daffodil International University, 2024-07-13)
    FOODU, a MERN stack web application created for the final year project at DIU, introduces a transformative approach to food ordering within the university setting. By allowing users to place advance orders, the system ...
  • Disease identification in mango leaf using image processing 
    Nabi, Md. Nurun (Daffodil International University, 2024-07-13)
    The king of fruits, the mango is in great demand, thus it is imperative to prevent sickness in order to maximize profits. Because symptoms can vary, automatic segmentation and detection of leaf diseases remains difficult. ...
  • Gender Detection from Bengali Voice Using Machine Learning Approach" 
    Sarker, Neela (Daffodil International University, 2024-07-13)
    Gender identification presents a notable challenge in signal processing, with recent attention shifting towards vocal feature analysis over traditional image classification methods. Acknowledging that gender classification ...
  • Wood Type Classification Using Deep Learning Approach 
    Hoque, Mazharul; Pavel, Md. Rashedul Islam (Daffodil International University, 2024-07-24)
    This research investigates the efficacy of various deep learning models for wood type classification, employing a dataset comprising 2011 images across five distinct wood classes. Six state-of-the-art architectures, ...
  • Wood Type Classification Using Deep Learning Approach 
    Hoque, Mazharul; Pavel, Md. Rashedul Islam (Daffodil International University, 2024-07-13)
    This research investigates the efficacy of various deep learning models for wood type classification, employing a dataset comprising 2011 images across five distinct wood classes. Six state-of-the-art architectures, ...
  • Design and Development of a web application named InternBD: 
    Abir, Md Saidul Islam (Daffodil International University, 2024-07-24)
    A cutting-edge web-based platform called InternBD aims to completely transform Bangladesh's internship market. InternBD, which is committed to helping young professionals, graduates, and students advance professionally, ...
  • Predictive modeling for early detection of diabetes using machine learning techniques. 
    Sagor, Mahmudul Hasan (Daffodil International University, 2024-07-13)
    Diabetes is a prevalent chronic disease with significant health implications worldwide. It is usually prolonged in a patient for their entire vitality. Early detection and intervention are vital for successfully managing ...
  • Dried fish variant classification using deep learning techniques 
    Israt, Bibi Marjan (Daffodil International University, 2024-07-13)
    This study describes a deep learning-based approach for digital classification of dried fish variants, which addresses an essential need in the food industry. With the increasing need for effective and precise methods ...
  • Analyze the adaption of organic fertilizer in aquaculture by using embedded technology approaches 
    Moly, Jannatul Ferdus; Ovik, Rofidul Hasan (Daffodil International University, 2024-07-13)
    The Paper titled “Analyzing the adaption of organic fertilizer in aquaculture by using embedded technology” is a comprehensive review that delves into the transformative role of machine learning and IoT in Aquaculture. ...
  • Performance Improvement of Speech Emotion Recognition in Bengali Language Using Deep Learning and BLSTM Networks. 
    Mia, Md Shumon (Daffodil International University, 2024-07-13)
    Speech Emotion Recognition (SER) is a new field in artificial intelligence (AI) and Bengali signal processing that has the potential to improve targeted user interactions and enable more positive interactions with smart ...
  • BHARATE: an Android application for renting house 
    Rabbi, Md. Minhajul Islam (Daffodil International University, 2024-07-13)
    The "Bharate" app, created with Flutter, introduces an extensive feature set that transforms the house rental experience. By giving thorough descriptions of the rooms that are offered together with the related pricing, ...

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