Thesis Report: Recent submissions

  • Genetic Disorder Prediction Based On Machine Learning 
    Sazid, Shahriar Islam (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-15)
    Genetic disease caused by mutations in DNA or chromosome abnormalities are major global health concerns. These illnesses, which are frequently inherited, cover a broad spectrum of conditions that have significant effects ...
  • Deep Learning For Explainable Traffic Anomaly Detection In Dhaka 
    Tisha, Samia Haque (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-17)
    Dhaka suffers from severe traffic anomalies, whereby congestion affects not only economic productivity but also quality of life, making it the slowest city in the world because of its severe traffic problems. Despite the ...
  • Explainable Inflation Forecasts by Machine Learning Models 
    Kumar, Sukanto (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-17)
    A comprehensive analysis of inflation prediction using a variety of machine learning techniques, focusing on identifying the key factors for accurate forecasting. By analyzing data from the World Bank and Kaggle databases ...
  • Deep Learning based Approach for Effective Hate Speech and Offensive Language Classification 
    Islam, Md. Rakibul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-14)
    As hate speech is becoming more prevalent on social media platforms and has a negative impact on both individuals and groups, it is crucial to identify and mitigate hate speech in online environments. To solve this issue, ...
  • Deep Learning Based Instance Segmentation of Leaf diseases 
    Hossain, Shoaib (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-19)
    Crop disease is a significant issue for Bangladesh's economy, but it can be prevented with early detection. This thesis proposes a deep learning-based instance segmentation technique for detecting 10 of the most common ...
  • Vending Machine Sales Analysis Using Machine Learning 
    Haque, Ishtiana (2024-08-14)
    Modern vending machines offer a wider range of products and services, including fresh food, electronics, beauty products, and even rental services like bicycles or umbrellas. they provide convenient access to goods and ...
  • Tea Leaf Disease Detection Using Deep Convolutional Network 
    Sarkar, Prapty Roy (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-21)
    Tea consumption is global and indispensable to economies; the Panchagarh district in Bangladesh is no exception. Disease management on the tea leaf using conventional methods is labor-intensive, time-consuming, and ...
  • Crossing Linguistic Boundaries: A Unified Real-Time Approach to Multilingual Sign Language Recognition in Diverse Contexts 
    Pranto, Md. Farhan Monir Rana (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-25)
    Living a regular life can be challenging for deaf individuals due to their hearing loss. In Bangladesh, around 2.6 million people experience hearing loss. For these individuals, sign language is vital for communication. ...
  • Stock Market Price Prediction Using Machine Learning 
    Karim, Abrar (2024-08-25)
    Stock market price prediction is a vital component for investors and financial analysts, offering the dual benefits of maximizing profits and managing risks effectively. This study delves into the application of sophisticated ...
  • Machine Learning Approaches For Early Detection Of Multiple Diseases Using Healthcare Data 
    Rahman, Mominur (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-27)
    This paper aims at exploring the application of machine learning algorithms for early disease diagnosis through health information. A comprehensive dataset from Kaggle was used, involving 500 patient records with 23 ...
  • ber Security Threats Against Internet of Things(Iot) Devices: Analysis And Security Solutions 
    Das, Shishir Chandra (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-28)
    “The Internet of Things (IoT) is becoming more and more prevalent, which gives cybercriminals a larger assault surface. The effectiveness of machine learning for intrusion detection in Internet of Things security is examined ...
  • Bangla Fake News Detection Using Machine Learning 
    Rahman, Khandakar Tazinur (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-29)
    Knowledge on the other hand is very much potent and the effect of sharing knowledge is highly significant but the sad thing is that sharing knowledge is now associated with share falsehood which has far-reaching consequences. ...
  • Exploring the efficiency of transfer learning in Brinjal disease detection using deep learning 
    Hasan, MD. Zahid (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-01)
    About 75% of the people in Asian countries rely on agriculture for their livelihood. Bangladesh is a country highly dependent on agriculture [1]. About 45.33% of the population of the country was engaged in the agriculture ...
  • Ghapfy – The Next Generation Content Creation and Interaction Platform 
    Sutradhar, Utsa Chandra (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-01)
    In the rapidly evolving digital landscape, the demand for versatile and integrated content creation tools is ever-growing. "Ghapfy" emerges as an innovative application designed to revolutionize the way users create, share, ...
  • A stacking model for prediction of IL-6 inducing peptides using machine learning techniques 
    Emon, Mir Maruf Hossain (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-01)
    Prominent for its strong pro-inflammatory properties, interleukin-6 (IL-6) is an important immunological regulator. Even though IL-6 is known to promote inflammation, in certain situations it can exhibit surprising ...
  • Enhancing the Prediction of IL-4 Inducing Peptides Using Stacking Ensemble Models 
    Hasan, Md. Tawfiqul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-03)
    Interleukin-4 (IL-4), known for its powerful anti-inflammatory properties, plays a crucial role in immunological control. Although IL-4 is widely recognized for its ability to reduce inflammation, it can exhibit unexpected ...
  • Leveraging Nlp For Multi-Class Emotion Detection In Social Media Text 
    Zim, Abdur Rafi MD. Sakib (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-02)
    The study illustrates how natural language processing (NLP) might prioritize improved privacy, especially when it comes to text-based evaluations of social media sentiments. The proposed concept suggests leveraging Language ...
  • A Hybrid Ensemble Model for Predicting TNF-α Inducing Peptides 
    Billah, Md. Towfiq (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-07)
    Renowned for its critical function in inflammation, tumor necrosis factor-alpha (TNFalpha) is an important modulator of the immune system. TNF-alpha has a wellestablished role in causing inflammation, yet in certain ...
  • Machine Learning Models To Predict The Response To Different Kidney Disease Treatments 
    Shimul, Kawsar Hossain (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-08)
    “If kidney disease is not identified and treated promptly, it might eventually result in kidney failure. Chronic kidney disease (CKD) is a degenerative illness marked by a progressive decrease of kidney function. Improving ...
  • Effective Prediction of Heart Disease Using Machine Learning 
    Upoma, Esrat Zahan (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-14)
    Heart infection is one of the basic wellbeing issues and numerous individuals over the world are enduring with this illness. It is imperative to recognize this malady in early stages to spare numerous lives. The reason of ...

Search DSpace


Browse

My Account