DIU Institutional Repository: Recent submissions

  • Relationship Between FDI Inflows and Export Performance: An Empirical Investigation by Considering Structural Breaks 
    Ahmed, Sayed Farrukh; Mohsin, A. K. M.; Hossain, Syed Far Abid (MDPI Publications, 2023-02-22)
    The present study examines the relationship between FDI inflows and export performance in Bangladesh by considering the issue of structural breaks utilizing annual time-series data from 1972 to 2019. In the study, unit ...
  • Reimagining Natural Hazards and Disaster Preparedness: Charting a New Course for the Future 
    Goniewicz, Krzysztof; Sarker, Md Nazirul Islam; Schoch-Spana, Monica (Springer, 2023-03-28)
    The world is facing unprecedented challenges from disas- ters and natural hazards, which are increasing in fre- quency and intensity due to climate change. Moreover, they can overlap, producing compounded and ...
  • The Principles of International Environmental Protection and Global Obligations: 
    Babu, Kudrat-E- Khuda; Jahid, Akanda Muhammad; Ananna, Nazia Afroz (Daffodil International University, 2023-09)
    There is now a worldwide collective obligation, a reality, to acknowledge environmental challenges. The paper discusses and analyses the principles of international environmental laws and how those are applied in international ...
  • Enhancing lung cancer detection through deep learning-based image segmentation 
    Das, Avishek (Daffodil International University, 2024-01-21)
    This literature review provides a thorough examination of important works in the field of medical image analysis, with a special emphasis on the use of machine learning and deep learning algorithms for identifying lung ...
  • A machine learning-based Approach to predict cervical cancer 
    Omar, Jubail Hossain (Daffodil International University, 2024-01-25)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including cervical cancer disease, drawing considerable attention due to its impact on a large population. The severity of the ...
  • Design and development of a book lover community web application (Facebook) 
    Hasan, Abir (Daffodil International University, 2024-01-24)
    The online web based book lover community is an user-friendly and innovative platform that transform book lovers to demonstrate their opinion on a particular book, interact with the author and browse the particular book ...
  • The Role of Natural and Semi-Synthetic Compounds in Ovarian Cancer: Updates on Mechanisms of Action, Current Trends and Perspectives 
    Islam, Md Rezaul; Rahman, Md Mominur; Dhar, Puja Sutro; Nowrin, Feana Tasmim; Sultana, Nasrin; Akter, Muniya; Rauf, Abdur; Khalil, Anees Ahmed; Gianoncelli, Alessandra; Ribaudo, Giovanni (Daffodil International University, 2023)
    Ovarian cancer represents a major health concern for the female population: there is no obvious cause, it is frequently misdiagnosed, and it is characterized by a poor prognosis. Additionally, patients are inclined to ...
  • Reduction of Radar Cross Section by Adopting Symmetrical Coding Metamaterial Design for Terahertz Frequency Applications 
    Ramachandran, Tayaallen; Faruque, Mohammad Rashed Iqbal; Singh, Mandeep Singh Jit; Khandaker, Mayeen Uddin; Salman, Mohammad; Youssef, Ahmed A. F. (MDPI Publications, 2023-01-23)
    This work focused on the novel and compact 1-bit symmetrical coding-based metama- terial for radar cross section reduction in terahertz frequencies. A couple of coding particles were constructed to impersonate the elements ...
  • The School-ties Between Top Management Executive and Audit Partner: Exploring From Earnings Management in Indonesia 
    Soeprajitno, Raden Roro Widya Ningtyas; Ningsih, Sri; Cahyono, Suham; Dhar, Bablu Kumar; Cahyono, Suham (Daffodil International University, 2023)
    The objective of this study is to investigate the impact of school ties between top management executives, such as the Chief Executive Officer and Chief Financial Officer, and external parties, including auditors, on a ...
  • The Utilization of Antenatal Care Services among the Pregnant Women in Somalia: 
    Ali, Kaltun Said; Chowdhury, A.B.M. Alauddin; Aimakhu, Christopher O. (Daffodil International University, 2023-03-23)
    "Background: Women in Somalia suffer from one of the highest maternal mortality rates in the world. The good utilization of antenatal care (ANC) services significantly minimizes maternal and child mortality. The study ...
  • Recognition of Bangladeshi Sign Language (BdSL) Words using Deep Convolutional Neural Networks (DCNNs) 
    Haque, Aminul; Pulok, Rishad Amin; Rahman, Md. Mizanur; Akter, Sanzida; Khan, Nusrat; Haque, Shamsul (Ital Publications, 2023-12-01)
    In a world where effective communication is fundamental, individuals who are Deaf and Dumb (D&D) often face unique challenges due to their primary mode of communication—sign language. Despite the interpreters' invaluable ...
  • A Novel Analytical Method Development of Esomeprazole Pellet 
    Sarker, Md. Shah Newaj (Daffodil International University, 2024-01-19)
    Proton pump inhibitors (PPIs), also called gastric medicine, are among the most frequently prescribed medications globally. Medications such as Esomeprazole, Omeprazole, Pantoprazole, and others have nearly become ubiquitous ...
  • Development of web application: Rent-go 
    Mohammad Mostafizur Rahman, Tuhin (Daffodil International University, 2024-01-25)
    A platform called Rent Go property Renting automates the entire process of renting a property. This project aims to lessen the burden of property owners and the pain of tenants in the process of finding rental properties. ...
  • Phytochemical Screening and Biological Tests of Methanol Extract of Ruellia Simplex 
    Tasnim, Mst. Saima (Daffodil International University, 2024-01-15)
    The phytochemical composition and possible biological activities of Ruellia simplex, a medicinal herb that has conventional uses, were studied. Plant material was extracted using methanol, and the resultant extract was ...
  • Enhancing guava harvest forecasting in Bangladesh through supervised machine learning models 
    Munia, Sahela Khan (Daffodil International University, 2024-01-24)
    Accurate forecasting of guava harvest is essential for efficient resource allocation, market planning, and mitigating post-harvest losses. In Bangladesh, the guava industry faces challenges in predicting harvest yields ...
  • DIU Hall Hub 
    Sarker, Parash (Daffodil International University, 2024-01-24)
    A Hall Like Daffodil International University, they will have a hall management system to manage the hall and it is not possible for a hall owner to collect the entire hall fee. Also it is a challenging job. Daffodil ...
  • Classification of Bone fractures using X-Ray images with the help of deep learning 
    Rahman, Mizanur (Daffodil International University, 2024-01-24)
    An established paradigm in the field of imaging in medical is fracture detection. These days, computer-aided diagnostic-(CAD) systems are widely used because they help physicians and other medical experts diagnose various ...
  • A deep convolutional neural networks for brain tumor classification based on MRI images 
    Al Mamun, Shamim (Daffodil International University, 2024-01-26)
    The tenth most common cause of death for both men and women is cancer of thebrain and associated nervous system tumors. According to estimates, primarymalignant brain and central nervous system tumors will be the cause of ...
  • Bari-Vara: Web-based application 
    Prodhan, Md. Samiul Karim (Daffodil International University, 2024-01-25)
    Bari Vara is an online rental and reservation platform for apartments. Improving human labor, making it more precise, and cutting down on the amount of time needed to rent and reserve real estate are the main goals. It ...
  • Real-Time Medical Image Classification with ML Framework and Dedicated CNN–LSTM Architecture 
    Salehin, Imrus; Islam, Md. Shamiul; Amin, Nazrul; Baten, Md. Abu; Noman, S. M.; Saifuzzaman, Mohd; Yazmyradov, Serdar (Hindawi Publications, 2022)
    In the domain of modern deep learning and classification techniques, the convolutional neural network (CNN) stands out as a highly successful and preferred method for image classification in artificial intelligence. ...

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