DIU Institutional Repository: Recent submissions

  • Snake Gourd Leaf Disease Detection Using Deep Learning 
    Nishat, Md Rifat Uddin; Setu, Sadia Afrin (Daffodil International University, 2025-01-12)
    This study explores a novel approach to identifying diseases in snake gourd leaves using advanced deep-learning techniques. The research focuses on five specific leaf conditions: Healthy, Powdery Mildew, Downy Mildew, ...
  • Implementing Blockchain for Enhancing Cloud Security 
    Shanto, Mushfiqur Rahman; Sakib, Muktadir Khan; Morshed, Nishat (Daffodil International University, 2025-08-30)
    As digital data continues to grow rapidly across sectors, ensuring its integrity and authenticity presents a critical challenge—particularly in centralized cloud storage systems, which are vulnerable to unauthorized access, ...
  • Effects of wax -winding on sweater knitting 
    Hossain, Md. Sabbir (Daffodil International University, 2025-07-05)
    This paper presents the concepts of a Textile Yarn Unwinding and Winding System for application in the textile industry. Considering that textile industry market is constantly growing, this work aims to develop a system ...
  • A Deep Learning Framework for Precision Plant Nutrient Status on Different Crops 
    Das, Aprantar; Mia, Md Hasan (Daffodil International University, 2025-01-12)
    Plant nutrient deficiencies can significantly impact agricultural productivity and crop quality, posing challenges for farmers in identifying and addressing these issues early. This project focuses on deep learning ...
  • Study on the quality report on Knit and Woven(denim) fabric 
    Rahman, Md Obaydur; Rahman, Md. Hafizur (Daffodil International University, 2025-01-23)
    We worked with knit and woven fabrics where we collected data on their production faults and analyzed it, through which we were able to find out the percentage of those faults. From this data analysis we found Knit fabric ...
  • Study on Sample Development Procedure for Knit Items 
    Datta, Joy (Daffodil International University, 2025-01-08)
    The Ready-Made Garment (RMG) sector is the cornerstone of Bangladesh's economy and a key driver of its development. In the Ready-Made Garment (RMG) sector, the sample creation process is essential to achieving customer ...
  • Blood Cancer Diagnosis using Deep Learning: Enhancing Accuracy in Leukemia Detection 
    Sultana, Sabbira (Daffodil International University, 2025-01-13)
    Blood problems are frequently discovered by visual inspection under a microscope. It might help classify a number of blood-related disorders in order to facilitate the identification of different leukemia conditions. ...
  • Dyeing of Cellulosic Materials (Cotton and Jute) with Natural Dye Extracted from Onion Skin Using Different Mordants 
    Roy, Sujon (Daffodil International University, 2025-01-28)
    Natural dyes derived from onion skins have gained attention for their eco-friendly properties and potential applications in textile dyeing. This study explores the dyeing of cellulosic materials, specifically cotton and ...
  • An Innovative Smart Parking system 
    Faysal, Md Minhajul Abedin (Daffodil International University, 2025-01-13)
    Complete details of my concept, "An Innovative Smart Parking system," may be obtained in the accompanying results. This paper goes into great detail on the processes that helped transform the plan into a working website. ...
  • Automated Histopathologic Oral Cancer Detection using Deep Learning for Early Diagnosis 
    Hasan, Abid; Karmakar, Ashis Kumar (Daffodil International University, 2025-01-12)
    An Innovative way to solve the very important problem in the world of early diagnosis is to use deep learning to automate the histopathologic discovery of oral cancer. The death rate goes up a lot when oral cancer is ...
  • RNN-Based Weather Forecast Prediction: A Modern Approach 
    Rahman, Mahmudur (Daffodil International University, 2025-01-13)
    Accurate weather forecasting is vital for resource planning, disaster management, and informed decision-making. This study leverages deep learning techniques, including Long Short-Term Memory (LSTM), Gated Recurrent Units ...
  • Deep Learning Approaches For Analyzing Microscopic Peripheral Blood Cell Images. 
    Rahik, Rafikul Ahsan; Kulsum, Umme (Daffodil International University, 2025-01-12)
    The diagnosis of numerous hematological disorders depends on the precise and effective classification of peripheral blood cells. However, in high-throughput or resource-constrained contexts, the manual evaluation of ...
  • Enhancing Cervical Cancer Prediction with Machine Learning and Explainable AI 
    Ahmed, Md. Shawn (Daffodil International University, 2025-01-12)
    Cervical cancer, the fourth most prevalent cancer among women globally, poses significant health challenges, especially in low- and middle-income countries where diagnostic resources are scarce. Early detection is crucial ...
  • Transfer Learning Based Detection and Classification of Diseases in Groundnut Leaves 
    Sarker, Raj Rabbi (Daffodil International University, 2025-01-13)
    One of the most important economic activities in the global agricultural sector, groundnut production is threatened by diseases involving leaves including; Leaf Spot, Alternaria Leaf Spot, Rust, and Rosette. Old approaches ...
  • Recognizing Emotion from Speech using Machine learning and Deep learning 
    Roy, Tonny (Daffodil International University, 2025-01-13)
    In the analysis of psychological disorders, behavioral decision making, human machine interaction application speech recognition is plays a essential role. Speech emotion recognition is a system that detects emotions ...
  • Sentiment and Toxicity: Hate Speech Detection with Machine Learning and NLP 
    Iqbal, Md Tanvir (Daffodil International University, 2025-01-12)
    This report presents a machine learning and natural language processing (NLP)-based system for detecting and moderating hate speech and toxicity on online platforms. With the exponential growth of user-generated content, ...
  • Diu Library Management Mobile App 
    Kumar, Heronmoy (Daffodil International University, 2025-01-12)
    The report depicts the design of the DIU Library Management App, which is an Android based automated Software programmed in Flutter to facilitate and improve library functions for students of DIU. The application employs ...
  • An Improved 4-Dimension Pixel Selection Method to Enhance Capacity in Image Steganography 
    Haider, Tayeba Binte (Daffodil International University, 2025-02-11)
    The use of social media and the internet has been rising and a lot of data is being exchanged as well. Vulnerability increases with the amount of data shared. It is essential and required that shared data be secure and ...
  • IOT Base Soil Nutrient and Fertilizer Monitoring System For Smart Agriculture 
    Riyad, Md. Shafayet Jamil; Tahmid, Khandaker Ahanaf (Daffodil International University, 2025-10-25)
    In smart agriculture, accurate monitoring of soil is necessary for the maximization of crop yield and sustainable farming. In this project an Iot Base Soil Nutrient and Fertilizer Monitoring System for Smart Agriculture ...
  • Advancing Smart Farming through Research-Based Web Application Integration: An efficient deep learning approach for classifying disease of been leaf Disease Identification in Sustainable Agriculture 
    Akter, Mst. Tabasshin (Daffodil International University, 2025-01-12)
    Deep Learning (DL) has emerged as a powerful technology in modern agriculture, revolutionizing practices like precision farming and disease management. Traditional methods for detecting diseases in bean leaves are ...

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