• Predicting the Effects of Microcredit on Women’s Empowerment in Rural Bangladesh: Using Machine Learning Algorithms 

  Polin, Johora Akter; Sarker, Md.Fouad Hossain; Khanom, Mst Dilruba (Institute of Advanced Engineering and Science (IAES), 2024-08-15)

  This study aimed to predict the impact of microcredit on women’s empowerment in Bangladesh using machine learning (ML) algorithms. In rural Bangladesh, where microcredit programs are not significantly employed, data for ...
• Prediction of Bangladeshi Urban Children’s Mental Health for the Effect of Mobile Gaming Using Machine Learning 

  Hasan, Tanveer; Bonny, Moushumi Zaman; Das, Rajesh Kumar; Sultanaa, Salma; Islam, Md. Touhidul; Sattar, Abdus (Wolters Kluwer Health, Inc., 2024-06-30)

  The popularity of mobile gaming is increasing globally, fueled by technological advancements, high-quality smartphones with gaming features, and widespread internet access. A large number of young people and also children ...
• Safety souls android application for emergency response system 

  Shuvo, Shahid Shahriar (Daffodil International University, 2024-07-24)

  In today's fast-paced world, timely and efficient emergency response can make the difference between life and death. This project presents the development of an Android application designed to improve emergency response ...
• FruitChain: block chain integration for fruit trace 

  Munna, Mahadi Hasan (Daffodil International University, 2024-07-24)

  "FruitChain: Blockchain Integration For Fruit Trace" is an innovative platform designed to reform the fruit industry through the integration of blockchain technology. The application is developed using Python Django. ...
• Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients by Use of Machine Learning Approach with Explainable Ai 

  Islam, Taminul; Sheakh, Md. Alif; Tahosin, Mst. Sazia; Hena, Most. Hasna; Akash, Shopnil; Jardan, Yousef A. Bin; Wondmie, Gezahign Fentahun; Nafidi, Hiba‑Allah; Bourhia, Mohammed (Springer Nature, 2024-04-11)

  Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires ...

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