DIU Institutional Repository: Recent submissions

  • A deep learning based text summarization process 
    Biswas, Binti (Daffodil International University, 2024-01-21)
    Technological innovation has greatly improved our quality of life. But people's attention spans are getting shorter and people want to read for shorter periods of time at a rapid pace. Because of this, it's crucial to ...
  • IoT-enabled plant monitoring system using ESP32-S3 and Blynk application 
    Emon, Mohammad Nurul Islam (Daffodil International University, 2024-01-22)
    Plant monitoring is seen as one of the most important tasks in any farming or agriculture based environment. This paper automates plant monitoring and smart gardening using IoT in the NodeMCU system platform. The main ...
  • Accidental prone area detection in Dhaka Metropolitan City using machine learning models 
    Jerin, Foyjunnesa (Daffodil International University, 2024-01-01)
    Dhaka, known for its status as one of the world's most densely populated areas, grapples with numerous challenges associated with urbanization and safety. This study focuses on identifying accident-prone zones within the ...
  • Forecasting house rents in Dhaka city with machine learning 
    Fahad, Dewan Abdullah (Daffodil International University, 2024-01-25)
    Bangladesh's capital city of Dhaka is become increasingly congested due to daily migration. They come to Dhaka for reasons like they have no money, looking for work, or sometimes because their families want them to shift ...
  • Sentiment analysis of comments on the israel-palestine conflict and showing geopolitical stance distribution 
    Sharkar, Md. Emon (Daffodil International University, 2024-01-25)
    Sentiment analysis has kept its landmark in Natural Language Processing by analyzing the text to extract sentimental value. The result usually goes with positive, negative, or neutral sentiment with necessary data ...
  • Bangladeshi local fish detection using deep learning techniques 
    Samiu, Asrafilil (Daffodil International University, 2024-01-01)
    This study uses deep learning techniques to provide a novel method for local fish understanding in Bangladesh. The following six native fish species are represented in the extensive dataset that was painstakingly gathered: ...
  • Spam text detection by using ML Algorithms 
    Sumiya (Daffodil International University, 2024-01-01)
    Nowadays,the number of mobile users is always increasing. SMS stands for "short messaging service," which lets the users send and receive short text messages on regular phones as well as smartphones. The quantity of SMS ...
  • Novel Computational and Drug Design Strategies for Inhibition of Monkeypox Virus and Babesia microti: Molecular Docking, Molecular Dynamic Simulation and Drug Design Approach by Natural Compounds 
    Akash, Shopnil; Mir, Showkat Ahmad; Mahmood, Sajjat; Hossain, Saddam; Islam, Md. Rezaul; Mukerjee, Nobendu; Nayak, Binata; Nafidi, Hiba-Allah; Jardan, Yousef A. Bin; Mekonnen, Amare; Bourhia, Mohammed (Frontier Scientific Publishing, 2023-07-19)
    "Background: The alarming increase in tick-borne pathogens such as human Babesia microti is an existential threat to global public health. It is a protozoan parasitic infection transmitted by numerous species of the genus ...
  • Identifying different types of roses using deep learning approaches 
    Kha, Partha (Daffodil International University, 2024-01-26)
    In horticulture, botanical study, and landscaping, accurate rose identification is critical. The ability to tell the difference between red, yellow, and white rose varieties benefits in the creation of visually pleasing ...
  • Project Management Information System using Laravel Framework 
    Hosen, Md. Shanto (Daffodil International University, 2024-01-22)
    I have been working on a web-based project called "Project Management Information System (PMIS)". The aim of this website is to facilitate the final year defense process for students. With the help of this website, ...
  • The moderating role of market turbulence beyond the Covid-19 pandemic and Russia-Ukraine crisis on the relationship between intellectual capital and business sustainability 
    AlQershi, Nagwan; Saufi, Roselina Binti Ahmad; Ismail, Noor Azizi; Mohamad, Mohd Rosli Bin; Ramayah, T.; Muhammad, Nik Maheran Nik; Yusoff, Mohd Nor Hakimin Bin (Daffodil International University, 2023-01)
    This paper examines the role of Intellectual Capital (IC) and its contribution to Business Sustainability (BS) among Large Manufacturing Firms (LMF) in Malaysia. It seeks to explain the relationship between them under ...
  • Stock price prediction and forecasting with machine Learning 
    Nodi, Shaila Hossain (2024-01-01)
    This project titled “STOCK PRICE PREDICTION AND FORECASTING WITH MACHINE LEARNING” which predict the price of stock for Bangladeshi data. Various methods such as analysis, time analysis and statistical analysis are used ...
  • Blood bd web-based blood donation platform 
    Limon, A. Y. M. Mahady Hasan (Daffodil International University, 2024-01-25)
    The "BloodBD" project is an innovative endeavor in the blood donation management space, designed to enhance the communication between healthcare facilities and donors. By addressing the intricate problems with the blood ...
  • Novel Computational and Drug Design Strategies for Inhibition of Human Papillomavirus-Associated Cervical Cancer and DNA Polymerase Theta Receptor by Apigenin Derivatives 
    Akash, Shopnil; Bayıl, Imren; Hossain, Md. Saddam; Islam, Md. Rezaul; Hosen, Md. Eram; Mekonnen, Amare Bitew; Nafidi, Hiba‑Allah; Jardan, Yousef A. Bin; Bourhia, Mohammed; Emran, Talha Bin (Springer Nature, 2023-10-03)
    The present study deals with the advanced in-silico analyses of several Apigenin derivatives to explore human papillomavirus-associated cervical cancer and DNA polymerase theta inhibitor properties by molecular docking, ...
  • Cyberbullying detection on Bangla social media comments 
    Bhuyain, Md. Arman (Daffodil International University, 2024-01-01)
    This study investigates the potential of machine learning algorithms in detecting signs of depression within Bengali text on social media platforms. As mental health concerns continue to rise globally, understanding ...
  • Parkinson disease detection using machine learning with Explainable AI 
    Ferdaous, Jannatul (Daffodil International University, 2024-01-26)
    Aside from its effects on the nervous system, Parkinson's disease also modifies the physiological functions that the nervous system regulates. The progressive nature of Parkinson's disease makes it a degenerative disorder. ...
  • Novel Benzothiazole Derivatives Synthesis and its Analysis as Diuretic Agents 
    Kemisetti, Durgaprasad; Amin, Ruhul; Alam, Faruk; Gacem, Amel; Emran, Talha Bin; Alsufyani, Taghreed; Alqahtani, Mohammed S.; Islam, Saiful; Matin, Mohammed Mahbubul; Jameel, Mohammed (Hindawi Publications, 2023-04-12)
    Benzothiazoles, an anticonvulsant, antiviral, antihypertensive, and cancer-fighting medication of the heterocyclic scaffold family, also acts as antibacterial and antiviral agents. There is much interest in this chemical’s ...
  • Novel Approaches for the Application of Herbs for Skin Care 
    Chopra, Hitesh; Tsagkaris, Christos; Matthews, Lauren; Gautam, Rupesh Kumar; Kamal, Mohammad Amjad (Bentham Science Publishers Ltd., 2023)
    Skin is the largest non-parenchymal organ of the human body. It constitutes a natural barrier against pathogens and harmful environmental exposures and contributes to the human body's homeostasis. Conditions affecting the ...
  • Norm in Cultivated Honey in Malaysia and Concomitant Effective Dose to Consumers 
    Khandaker, Mayeen U.; Zayadi, Nurul S B; Sani, Siti Fairus A.; Bradley, David A.; Osman, Hamid; Alzamil, Yasser; Almeshari, Meshari; Sayyed, M I; Sulieman, Abdelmoneim (Oxford University Press, 2023-11-03)
    Present study concerns the radiological character of Malaysian honey. A total of 18 samples (representative of the various most common types) were obtained from various honey bee farms throughout the country. Using a ...
  • Nigelladine a Among Selected Compounds From Nigella sativa Exhibits Propitious Interaction With Omicron Variant of SARS-CoV-2: An In Silico Study 
    Miraz, Md Mehedy Hasan; Ullah, Md Aff; Nayem, Abdullah Al; Chakrobortty, Brototi; Deb, Sanjoy; Laskar, Anee; Tithi, Nishita Umaya; Saha, Nilay; Chowdhury, Anita Rani; Alam, M. Khairul; Wahed, Tania Binte; Alam, Mohammad Khursheed; Kundu, Sukalyan Kumar (Hindawi Publications, 2023-02-20)
    COVID-19 has been a threat to the entire world for more than two years since its outbreak in December 2019 in Wuhan city of China. SARS-CoV-2, the causative agent, had been reported to mutate over time exposing new variants. ...

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