Faculty of Science and Information Technology: Recent submissions

  • Various machine learning approaches for sentiment analysis on movies 
    Tuz- Zohra, Fatema - (Daffodil International University, 2024-01-25)
    Sentiment analysis is an essential task in natural language processing that is critical to comprehending user attitudes and public opinion in a variety of fields. This study compares and thoroughly examines several ...
  • A comparative analysis of CNN and transfer learning approaches for mango leaf disease detection 
    Shayam, Shahriar Emon (Daffodil International University, 2024-01-25)
    The comparative analysis of CNN and transfer learning approaches delves into the application of agriculture, with the specific focus on mango leaf disease detection. The core objective of the study is to develop an ...
  • Anxiety disorder detection using machine learning approach 
    Mim, Sharmin Sultana (Daffodil International University, 2024-01-22)
    The objective of this research is to tackle urgent problems in the early identification of Anxiety Disorder, specifically in Bangladesh. The country is renowned for its high prevalence of this mental disorder, which is ...
  • Sentiment analysis of recent flood disaster of Bangladesh from social media Bangla comments using deep learning 
    Haque, Md. Imdadul (Daffodil International University, 2024-01-22)
    This study provides complete sentiment analysis of Bengali social media posts made in the course of the country's recent flood disaster. We use deep learning models, such as CNN and Bi-LSTM, to evaluate a dataset of 4036 ...
  • RGNN: radiomic graph neural network for glioma grading utilizing 3d magnetic resonance images with clinical significant features 
    Aiyubali, Md. (Daffodil International University, 2024-01-01)
    Glioma, a prevalent and devastating brain tumor, presents formidable challenges in diagnosis and prognostication. This study endeavors to enhance glioma grading accuracy by leveraging 3D MRI data and a comprehensive array ...
  • Online Job portal sytem 
    Emon, Md. Atik Hossain (Daffodil International University, 2024-01-22)
    The Online Job Portal System I named it Nightingale Jobs presented in this project is a comprehensive online platform aimed at revolutionizing the job-seeking and recruitment process. Leveraging PHP, CSS, and SQL ...
  • Depression prediction among student based on their daily activities 
    Pranty, Miskatun Ahmed (Daffodil International University, 2024-01-25)
    Depression affects most people in modern life. Inadequate treatment even leads to many people taking their own lives. Early detection and treatment of depression in patients are very easy to achieve. We are unable to ...
  • Machine learning based prediction of dengue risk zones in Bangladesh based on weather data 
    Ahmed, K. M Riyad (Daffodil International University, 2024-01-22)
    This work proposes a unique method for identifying dengue risk zones in Bangladesh using machine learning algorithms and large weather data. Dengue fever, a mosquito-borne illness that is common in tropical areas, has a ...
  • Smart poultry farm using internet of things and machine learning project 
    Rifat, Tabibur Rahman (Daffodil International University, 2024-01-25)
    This paper offers a detailed investigation into poultry health monitoring utilizing an Internet of Things (IoT) platform and Machine Learning (ML) approaches. This article offers a detailed investigation into poultry ...
  • Deep dive into speech privacy: convolutional neural networks in sensitive content detection 
    Zaman, Nafisa (Daffodil International University, 2024-01-25)
    Sensitive speech, encompassing hate speech, offensive language, and discriminatory remarks, has become a pressing issue in today's digital landscape. This research focuses on exploring the efficacy of Convolutional Neural ...
  • Nationality detection through eye analysis 
    Shoumik, Shahib Islam (Daffodil International University, 2024-01-25)
    Biometric identification has become increasingly popular as technology progresses, especially with regard to facial and ocular recognition. The study investigates the use of deep learning methods more especially, the ...
  • Welltrackr: revolutionizing fitness and wellness with an integrated full-stack web application 
    Alam, Md. Tasin (Daffodil International University, 2024-01-25)
    WellTrackr is a modern health and wellness tracker project that provides a complete and innovative solution to address the changing needs of the health and wellness sector. WellTrackr was conceived and created as a ...
  • DIU Counselling Hour Management System 
    Rahman, Ziaur (Daffodil International University, 2024-02-01)
    The main focus of this outstanding paper is the "Online Education Management and Information System." It delves into crucial aspects of online control and communication between educational authorities and students. The ...
  • Graph based Automatic Breast Tumor Classification Through Ultrasound Images by Radiomics Features 
    Hossain, Md. Shakhawat (Daffodil International University, 2024-01-24)
    Breast tumor a common and devastating cancer in women, poses significant challenges in both diagnosis and prognostication. In this study, we aim to enhance the classification of breast tumor by breast ultrasound image ...
  • Fashion style analysis and recommendation using machine learning & deep learning 
    Khatun, Habiba (Daffodil International University, 2024-01-24)
    Fashion has always been an essential feature of our daily routine. It plays an important role in everyone's life. Today, the impact of deep learning on computer vision applications is increasing every day. Deep learning ...
  • Lung-Cancer stage prediction using machine learning approach 
    Patwary, Md. Abdus Salam (Daffodil International University, 2024-01-25)
    Physical illnesses like lung cancer have become more common nowadays. The world nowadays is aware of the subject. The disease known as lung cancer affects most individuals. A measure of the sickness is the variations in ...
  • Developed Uttar Nakshi high school dynamic website 
    Hemal, Ahnaf Shariar (Daffodil International University, 2024-01-24)
    The Uttar Nakshi High School Website is a complete and innovative platform designed to transform the teaching and administrative procedures of Uttar Nakshi High School. As a final year project, this web-based system was ...
  • Machine learning approach to predict the quality of drinkable water from different sources 
    Jahura, Fatema Tuz (Daffodil International University, 2024-01-24)
    Machine learning (ML) is revolutionizing the field of aquatic environment research by offering advanced tools for analyzing, classifying, and predicting data. This study delves into the use of ML algorithms, particularly ...
  • Web based classification of brain tumor using deep learning 
    Al Noman, Abdullah (Daffodil International University, 2024-01-22)
    Classification of brain tumors is one of the most crucial jobs in medical imaging, and deep learning models have shown promising outcomes when it comes to automation. We provide a thorough analysis of three deep learning ...
  • Detection of tomato leaves disease using CNN deep learning 
    Shalauddin, Md. (Daffodil International University, 2024-01-24)
    The output of tomatoes has increased in Bangladesh in the past few years. In addition to its nutritional benefits, tomato cultivation is important for the employment of many people. However, several illnesses that affect ...

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