DIU Institutional Repository: Recent submissions

  • Precision Management of Complex Coronary Lesions: Drug-Coated Balloons and Computational Cardiology at the Forefront of Nanotechnology 
    Padda, Inderbir; Sebastian, Sneha Annie; Moinuddin, Arsalan; Emran, Talha Bin; Goel, Sunny; Johal, Gurpreet (John Wiley & Sons, 2024-10-22)
    Complex coronary lesions present formidable challenges in interventional cardiology, necessitating innovative approaches for effective management. From myocardial bridging (MB) to ostial lesions and bifurcations, each poses ...
  • Predicting Diabetes in Women through Machine Learning 
    Hasan, Rakib; Islam, Muksitul; Hosen, Md. Mamun; Abdullah-Al-Kafi, Md; Radhakrishnan, Niranchana (IEEE, 2024-04-18)
    Diabetes, a predominant non-communicable illness, presents a significant worldwide open well-being concern with rising incidence rates and noteworthy mortality around the world. Timely determination is essential in moderating ...
  • Predicting Electric Vehicles Adoption 
    Choo, Seen Yee; Vafaei-Zadeh, Ali; Hanifah, Haniruzila; Thurasamy, Ramayah (Elsevier, 2024-10-25)
    The increasing popularity of electric vehicles (EVs) as an alternative mode of transportation aims to reduce greenhouse gas emissions and energy expenditures, playing a crucial role in the evolution of emerging mobility ...
  • Predicting Groundwater Phosphate Levels in Coastal Multi-aquifers: A Geostatistical and Data-driven Approach 
    Abdullah-Al Mamun, Md.; Islam, Abu Reza Md Towfiqul; Aktar, Mst.Nazneen; Uddin, Md Nashir; Islam, Md. Saiful; Pal, Subodh Chandra; Islam, Aznarul; Bari, A.B.M. Mainul; Idris, Abubakr M.; Senapathi, Venkatramanan (Elsevier, 2024-11-25)
    The groundwater (GW) resource plays a central role in securing water supply in the coastal region of Bangladesh and therefore the future sustainability of this valuable resource is crucial for the area. However, there is ...
  • Predicting Groundwater Phosphate Levels in Coastal Multi-aquifers A Geostatistical and Data-driven Approach 
    Abdullah-Al Mamun, Md.; Islam, Abu Reza Md Towfiqul; Aktar, Mst. Nazneen; Uddin, Md Nashir; Islam, Md. Saiful; Pal, Subodh Chandra; Islam, Aznarul; Bari, A.B.M. Mainul; Idris, Abubakr M.; Senapathi, Venkatramanan (Elsevier, 2024-11-15)
    Even if you want to make a profit from cryptocurrency, you are worried that you will lose money, and it is difficult to afford it. There are a vast number of papers that study such unpredictable price fluctuations of ...
  • Predicting High Volatility Cryptocurrency Prices using Deep Learning 
    Ito, Tsutomu; Hasebe, Kodai; Hamakawa, Fumito; Biki, Bidesh Biswas; Ikeda, Satoshi; Takei, Amane; Sakamoto, Makoto; Riajuliislam, Md; Shital, Sabrina Bari; Ito, Takao (Elsevier, 2024-01-15)
    Even if you want to make a profit from cryptocurrency, you are worried that you will lose money, and it is difficult to afford it. There are a vast number of papers that study such unpredictable price fluctuations of ...
  • Predicting Pre-Owned Bike Values with Machine Learning Techniques in Bangladesh 
    Ferdous, Kazi Hassanul; Arman, Md.Shohel; Ahmed, Kazi Rifat; Tasnim, Nusrat; Mahmud, Imran; Revathi, P. (IEEE, 2024-10-01)
    As the importance of sustainable practices in the automobile sector grows, it's critical to anticipate motorcycle prices and offerings. With so many variables to consider when buying a secondhand motorcycle-condition, ...
  • Predicting Public Willingness to Use Autonomous Shuttles: Evidence from an Emerging Economy 
    Liew, Ying Wei; Vafaei-Zadeh, Ali; Teoh, Ai Ping; Ramayah, Thurasamy (Sage Publications, 2024-08-28)
    The purpose of this paper is to investigate the public’s willingness to adopt autonomous shuttles for public transport. This study proposes a research framework to explain people’s adoption intentions. Therefore, this study ...
  • Predicting Student Dropout: A Machine Learning Approach 
    Deb, Sreedham; Sammy, Mst. Sakira Rezowana; Tusher, Abdur Nur; Sakib, Md. Rabbi Salehin; Hasan, Md. Firoz; Aunik, Ajharul Islam (IEEE, 2024-11-04)
    Student dropout is a pervasive problem in the education system, with a significant number of students failing to complete their studies due to various reasons such as academic difficulties, financial issues, personal ...
  • Predicting Team Success in the Indian Premier League Cricket 2024 Season Using Random Forest Analysis 
    Sanjaykumar, Swamynathan; Natarajan, Subhashree; Lakshmi, Ponnusamy Yoga; Boby, Farjana Akter (OVS LLC, 2024-04-30)
    Background. Random Forest is a popular machine learning algorithm used for classification and regression tasks. The study purpose is to investigate the use of Random Forest machine learning to predict the winning chances ...
  • Predicting Public Willingness to Use Autonomous Shuttles: Evidence from an Emerging Economy 
    Liew, Ying Wei; Vafaei-Zadeh, Ali; Teoh, Ai Ping; Ramayah, Thurasamy (National Academy of Sciences, 2024-01-15)
    The purpose of this paper is to investigate the public’s willingness to adopt autonomous shuttles for public transport. This study proposes a research framework to explain people’s adoption intentions. Therefore, this study ...
  • Ergonomically Designed Adaptive Sari for An Elderly Woman 
    D., Vijayalakshmi (Daffodil International University Press, 2025-01-30)
    The sari is a traditional garment cherished for its elegance and cultural significance in South Asia. The process of sari draping involves several repetitive movements, such as pleating, tucking, and securing the pallu ...
  • ড্যাফোডিল ইন্টারন্যাশনাল ইউনিভার্সিটি ২৩ তম প্রতিষ্ঠাবার্ষিকী উদযাপন 
    আলো, প্রথম (প্রথম আলো, 2025-01-26)
    উৎসবমুখর পরিবেশে ড্যাফোডিল ইন্টারন্যাশনাল ইউনিভার্সিটির ২৩তম প্রতিষ্ঠাবার্ষিকী উৎসব গত শুক্রবার বিরুলিয়ায় বিশ্ববিদ্যালয় ক্যাম্পাসে অনুষ্ঠিত হয়েছে
  • 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 ...
  • Battling counterfeits: cutting-edge solutions for Bangladeshi currency security 
    Hossain, Mehrab; Rahman, Mizanur (Daffodil International University, 2024-07-24)
    Counterfeit currency is a major threat to the economic integrity and security of Bangladesh, particularly with regard to high-denomination notes, including 500 and 1000 taka bills. The current study sought to achieve an ...
  • An IOT based air pollution monitoring system 
    Joy, Fayaz Alam (Daffodil International University, 2024-07-24)
    The Air Pollution Monitoring Forecasting System project aims to develop a comprehensive system for air quality management through innovative sensor technology, data analysis, and AI techniques. It combines multi-sensor ...

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