DIU Institutional Repository: Recent submissions

  • Old bike selling website 
    Trisha, Sumaiya Pias (Daffodil International University, 2024-01-24)
    Old Bike-Selling Website” is a dedicated online platform designed for enthusiasts, collectors, and riders passionate about classic motorbikes. Our web application provides a user-friendly and secure marketplace for buying ...
  • Scope of Audit and Effectiveness of Public Sector Audit in Malaysia 
    Noor, Nor Raihana Asmar Mohd; Ramayah, T.; Khadzil, Syed Azlan Al Jaffree Syed; Noor, Nor Halida Haziaton Mohd; Yusof, Wan Yusrol Rizal Bin W. (UNIMAS Publisher, 2023-04-07)
    The public sector audit is a cornerstone for an effective corporate governance. However, its effectiveness largely depends on the scope of audit conducted in public sector agencies. Therefore, this paper examines scope of ...
  • Russia-Ukraine Conflict Sentiments and Energy Market Returns in G7 Countries: Discovering the Unexplored Dynamics 
    Lorente, Daniel Balsalobre; Sinha, Avik; Murshed, Muntasir (Elsevier, 2023-09-15)
    The dependence of the G7 countries on Russian fossil fuels has made them susceptible to any shocks in the Russian economy. The recent Russia-Ukraine Conflict created a disruption in the energy supply mechanism in the G7 ...
  • Rural-Urban Disparities in Nutritional Status Among Ever-Married Women in Bangladesh: A Blinder-Oaxaca Decomposition Approach 
    Hossain, Md. Ismail; Habib, Md. Jakaria; Zinia, Faozia Afia; Rahman, Azizur; Methun, Md Injamul Haq; Haq, Iqramul (PLOS ONE Publications, 2023-12-14)
    This study aims to investigate socioeconomic disparities in nutritional status among ever-married women in Bangladesh and to break down urban-rural differences in the underlying causes of under nutrition. We utilized data ...
  • Enhancing random forest model for cancer detection: a multi-objective hyper parameter tuning strategy 
    Islam, Md Saykot (Daffodil International University, 2024-01-22)
    Early and accurate cancer detection is crucial for improving patient outcomes from this lethal disease, but traditional methods often lack sensitivity or specificity. Machine learning algorithms, particularly Random ...
  • Exploration on use of time series analysis and machine learning to predict the population of countries and global trend 
    Tanmoy, F. M. (Daffodil International University, 2024-01-22)
    This study focuses on the crucial task of forecasting population growth, a fundamental aspect of planning for a nation's future development. Utilizing advanced machine learning techniques, we aim to predict future ...
  • Various machine learning approaches for sentiment analysis on movies 
    Tuz- Zohra, Fatema - (Daffodil International University, 2024-01-25)
    Sentiment analysis is an essential task in natural language processing that is critical to comprehending user attitudes and public opinion in a variety of fields. This study compares and thoroughly examines several ...
  • A comparative analysis of CNN and transfer learning approaches for mango leaf disease detection 
    Shayam, Shahriar Emon (Daffodil International University, 2024-01-25)
    The comparative analysis of CNN and transfer learning approaches delves into the application of agriculture, with the specific focus on mango leaf disease detection. The core objective of the study is to develop an ...
  • Anxiety disorder detection using machine learning approach 
    Mim, Sharmin Sultana (Daffodil International University, 2024-01-22)
    The objective of this research is to tackle urgent problems in the early identification of Anxiety Disorder, specifically in Bangladesh. The country is renowned for its high prevalence of this mental disorder, which is ...
  • The Emerging Paradigm of Antimicrobial Resistance in Surgical Site Infections of the Nilgiris Region 
    Patnool, Rihana Begum; Rajeshkumar, Raman; Manigandan, V.; Emran, Talha Bin (Daffodil International University, 2023-04)
    The rise of multidrug-resistant bacterial species in hospitals becomes a global challenge for surgeons who treat healthcare-associated infections. This study aimed to identify the pathogens involved in surgical site ...
  • The Essence of Bengal's Ethnic Sweetmeats : 
    Sarkar, Tanmay; Salauddin, Molla; Paul, Arindam; Imran, Faisal (Daffodil International University, 2023-02)
    The enthralling sweet taste that mesmerizes the eastern part of India, or more specifically the undivided Bengal (West Bengal and Bangladesh) is unveiled. The ethnic sweetmeats that originated in Bengal varied over their ...
  • Run! This Road Has No Ending! A Systematic Review of Pls-Sem Application in Strategic Management Research Among Developing Nations 
    Shela, V.; Ramayah, T.; Aravindan, Kalisri Logeswaran; Ahmad, Noor Hazlina; Alzahrani, Ahmed Ibrahim (Elsevier, 2023-11-23)
    Partial least squares structural equation modelling (PLS-SEM) is emerging as a prominent methodological tool in strategic management research. Although it offers various advancements to stay relevant with growing research ...
  • Rose Plant Disease Detection using Deep Learning 
    Alvy, Md. Ali- Al; Khan, Golam Kibria; Alam, Mohammad Jahangir; Islam, Saiful; Rahman, Mokhlesur; Rahman, Mirza Shahriyar (IEEE, 2023-05-24)
    The detection and identification of rose plant disease is the focus of this investigation. Identification and detection are essential components of contemporary agro technology. In this case, AI technology was utilized to ...
  • Roles of Green Intellectual Capital Facets on Environmental Sustainability in Oman 
    Gharib, Moaz; Alam, Md Shabbir; Hawaldar, Iqbal Thonse; Murshed, Muntasir; Khan, Uzma; Alvarado, Rafael; Rehman, Ijazur (Informa UK Limited, 2022-12-05)
    The present study determines the impacts of different types of green intellectual capital such as green human capital, green structural capital, and green relational capital on environmental sustainability in the Sultanate ...
  • The Fractal Viewpoint of Tumors and Nanoparticles 
    Alexiou, Athanasios T.; Tsagkaris, Christos; Chatzichronis, Stylianos; Koulouris, Andreas; Haranas, Ioannis; Gkigkitzis, Ioannis (Daffodil International University, 2022-08)
    Even though the promising therapies against cancer are rapidly improved, the oncology patients population has seen exponential growth, placing cancer in 5th place among the ten deadliest diseases. Efficient drug delivery ...
  • Role of Environmental Regulation and Renewable Energy Technology Innovation in Carbon Neutrality: A Sustainable Investigation From China 
    Hao, Yuanyuan; Murshed, Muntasir; Li, Xiangdong (Elsevier, 2022-07-15)
    With global climate change posing a major threat to human society, many countries have elevated “carbon neutrality” to a national strategy and put forward a vision of a zero-carbon future. In this process, environmental ...
  • Role of T Cells in Cancer Immunotherapy: Opportunities and Challenges 
    Ahmed, Hossain; Mahmud, Aar Rafi; Siddiquee, Mohd. Faijanur Rob; Shahriar, Asif; Biswas, Partha; Shimul, Md. Ebrahim Khalil; Ahmed, Shahlaa Zernaz; Ema, Tanzila Ismail; Rahman, Nova; Khan, Md. Arif; Mizan, Md. Furkanur Rahaman; Emran, Talha Bin (Elsevier, 2023-04-15)
    Immunotherapies boosting the immune system's ability to target cancer cells are promising for the treatment of various tumor types, yet clinical responses differ among patients and cancers. Recently, there has been increasing ...
  • Role of G-Proteins and GPCR-Mediated Signalling in Neuropathophysiology 
    Rahman, Md. Mominur; Mim, Sadia Afsana; Islam, Md. Rezaul; Sultana, Nasrin; Ahmed, Muniruddin; Amjad Kamal, Mohammad (Bentham Science Publishers Ltd., 2023-01-15)
    G-protein-coupled receptors (GPCRs) are activated by manifold neurotransmitters, and their activation, in turn, evokes slow synaptic transmission. They are profoundly related to numerous psychiatric and neurological disorders ...
  • Road Condition Detection and Crowdsourced Data Collection for Accident Prevention: A Deep Learning Approach 
    Jahan, Md Saroar; Islam, Mominul; Hossain, Md Sanjid; Mim, Jhuma Kabir; Oussalah, Mourad; Akter, Nasrin (IEEE, 2023-11-21)
    Bangladesh is one of the countries struggling to prevent road accidents, which is a global cause for concern. An early warning system that indicates road conditions can contribute to the prevention task. For this purpose, ...
  • Risk Factor Analysis and Prediction of Cervical Cancer Based on Machine Learning Models 
    Rahman, M.A.; Ghosh, A. (Institute of Electrical and Electronics Engineers Inc., 2023-12-15)
    Cervical cancer is a leading cause for women and is threatening women's health globally and it is difficult to observe any signs in the very early stage. But Machine learning will be a good option for doctors to classify ...

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