DSpace at My University: Recent submissions

  • Development and Performance Analysis of Machine Learning Methods for Predicting Depression Among Menopausal Women 
    Shopnil Akash; Baeza, Javiera; Mahmood, Sajjat; Mukerjee, Nobendu; Subramaniyan, Vetriselvan; Islam, Md. Rezaul; Gupta, Gaurav; Rajakumari, Vinibha; Chinni, Suresh V.; Ramachawolran, Gobinath; Saleh, Fayez M.; Albadrani, Ghadeer M.; Sayed, Amany A.; Abdel-Daim, Mohamed M. (Frontier Scientific Publishing, 2023-07-11)
    The Lassa virus (LASV), an RNA virus prevalent in West and Central Africa, causes severe hemorrhagic fever with a high fatality rate. However, no FDA-approved treatments or vaccines exist. Two crucial proteins, LASV ...
  • Design and development of web application on project management system 
    Islam, Iftekhairul (Daffodil International University, 2024-01-01)
    In this project report, we outline a distinctive approach that focuses on the creation of a centralized Project Management System tailored specifically for a designated organization. This innovative solution is introduced ...
  • E-commerce Web Site with Modern Technology 
    Uddin, Mesbah (Daffodil International University, 2024-01-01)
    This Project delves into the transformative impact of modern technologies on the landscape of e-commerce websites. In the fast-paced digital era, the integration of cutting-edge technologies has become paramount for ...
  • Development and Performance Analysis of Machine Learning Methods for Predicting Depression Among Menopausal Women 
    Ali, Md. Mamun; Ali, Hussein; Algashamy, A.; Alzidi, Enas; Ahmed, Kawsar; Bui, Francis M.; Patel, Shobhit K.; Azam, Sami; Abdulrazak, Lway Faisal; Moni, Mohammad Ali (Elsevier, 2023-05-25)
    Menopause is an obligatory phenomenon in a woman’s life. Some women face mental and physical issues during their menopausal period. Depression is one of the issues some women struggle with during their menopausal period. ...
  • Developing an Energy Cost Calculator for Solar 
    Rahat, Md. Sabik Alam; Banik, Plabon; Rafe, Md. Abid Hasan; Reza, Dr. Ahmed Wasif (Springer, 2023-10-21)
    One of the most important variables affecting a country’s socioeconomic maturity is access to electricity. Bangladesh is now suffering from a severe electricity shortage. Around 65% of people do not have access to power, ...
  • Developing a Transaction System in Blockchain 
    Meem, Afsana Nur; Nodi, Lamya Ishrat; Islam, Efte Kharul; Tomal, Minhazul Amin; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2023-12-20)
    Blockchain technology is advancing quickly and does not appear to be slowing down. Many things that looked inconceivable in the last few decades—like excessive transaction costs, double spending, net fraud, recovering lost ...
  • Developing a Tool to Classify Different Types of Fruits Using Deep Learning and VGG16 
    Ahsan, Mobassir; Yousuf, Mahfuza; Rahman, Md. Saifur; Proma, Farhana Islam; Imam, Omar Tawhid; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2022-10-21)
    In this paper, we present two methods for the classification of fruits of Bangladesh from image processing techniques. We have used deep learning convolutional neural network in our model and VGG16 in another model. From ...
  • Developing a Multimodal Transportation Model for China to Minimize Travel Time and Cost under Belt and Road Initiative 
    Anam, Sayedul; Mohapatra, Srikanta Kumar; Babu, Md. Ashraful; Mohanty, Jayashree (IEEE, 2023-08-15)
    China exports several goods to other countries or cities and to shift these goods has to use different ways such as road, air, and water for their shipment irrespective of air pollution. Recently China invests in Pakistan ...
  • Developing a Classification CNN Model to Classify Different Types of Fish 
    Ahmed, Farhan; Basak, Bijoy; Chakraborty, Simonta; Karmokar, Tumpa; Reza, Ahmed Wasif; Imam, Omar Tawhid; Arefin, Mohammad Shamsul (Springer, 2023-07-01)
    Identifying any fish type can be difficult for people who are not familiar with fish. Implementation of a fish classification machine learning model can become helpful in this scope. The purpose of this paper is to build ...
  • Determination of Bioavailable Arsenic Threshold and Validation of Modeled Permissible Total Arsenic in Paddy Soil Using Machine Learning 
    Mandal, Jajati; Jain, Vinay; Sengupta, Sudip; Rahman, Md. Aminur; Bhattacharyya, Kallol; Rahman, Mohammad Mahmudur; Golui, Debasis; Wood, Michael D.; Monda, Debapriya (Wiley Periodicals LLC on behalf of American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America., 2023-02-11)
    Minimizing arsenic intake from food consumption is a key aspect of the public health response in arsenic (As)-contaminated regions. In many of these regions, rice is the predominant staple food. Here, we present a validated ...
  • Determinants of Women’s Entrepreneurial Performance: Evidence From Bangladesh 
    Akhter, Ayeasha; Ali, Mohammed Julfikar; Tanchi, Khadiza Rahman; Latif, Wasib Bin; Karim, Md. Mobarak (Business Perspectives Publications, 2023-03-14)
    Women entrepreneurship has been gaining a prominent awareness among policymak- ers in contemporary economics, as it can hasten the rate of technological advancement and economic progress. The objective of this study is to ...
  • Determinants of Financial Inclusion in South Asia 
    Hossain, Md. Kamrul; Mahfuz, Tajmary; Latif, Subhenur; Hossain, Mohamed Emran (Emerald Publishing Limited, 2022-03-17)
    To identify the financial stress and associate factors of tertiary level student. Design/methodology/approach To identify the financial stress and associate factors, a structured questionnaire was developed to collect ...
  • Smart Online Nursery 
    Ali, Md. Asif; Anik, Md. Tanvir Jubayed (Daffodil International University, 2024-01-26)
    The Smart Online Nursery System is a comprehensive web-based platform called Smart Nursery BD that aims to revolutionize the way people buy and maintain plants for their indoor and outdoor nurseries. The project's main ...
  • Machine Learning Approach for Insomnia Early Diagnosis in Perspective of Bangladesh 
    Tasfia, Orin (Daffodil International University, 2024-01-01)
    This research addresses the early detection of insomnia in Bangladesh, focusing on young adults affected by extensive phone and social media use. Using machine learning techniques like Logistic Regression, SVM, Decision ...
  • ফিলিস্তিনের ৫০ ছাত্রী কে বিনা খরচে পড়াবে ড্যাফোডিল ইউনিভার্সিটির্সি 
    আলো, প্রথম (প্রথম আলো, 2024-05-06)
    ফিলিস্তিনের গাজার ৫০ ছাত্রীকে বিনা খরচে পড়ানোর ঘোষণা দিয়েছে ঢাকার সাভারে অবস্থিত বেসরকারি ড্যাফোডিল ইন্টারন্যাশনাল ইউনিভার্সিটির্সি (ডিআইইউ) কর্তৃপর্তৃ ক্ষ। আজ রোববার সাভারে ড্যাফোডিল ইন্টারন্যাশনাল ইউনিভার্সিটির্সি পরিদর্শন ...
  • DIU Counseling Hour Management System: A web application 
    Rahman, Ziuar (Daffodil International University, 2024-02-01)
    The main focus of this outstanding paper is the "Online Education Management and Information System." It delves into crucial aspects of online control and communication between educational authorities and students. The ...
  • Graph based Automatic Breast Tumor Classification Through Ultrasound Images by Radiomics Features 
    Hossain, Md. Shakhawat (Daffodil International University, 2024-01-01)
    Breast tumor a common and devastating cancer in women, poses significant challenges in both diagnosis and prognostication. In this study, we aim to enhance the classification of breast tumor by breast ultrasound image ...
  • Development of the web application property listing for real state for digital transformation 
    Razzak, Anfal Bin (Daffodil International University, 2024-01-01)
    The Real Estate is a comprehensive web application designed to streamline property transactions, enhance user experience, and facilitate efficient management for real estate professionals. The system employs robust ...
  • Developing a Machine Learning-Based Predictive Model for Early Sepsis Diagnosis Using Electronic Health Records 
    Ghosh, Chayon (Daffodil International University, 2023-12-01)
    Sepsis is a potentially fatal illness that needs to be identified quickly in order to enhance patient outcomes. Unfortunately, because of its non-specific symptoms, early detection can be difficult. Predictive models for ...
  • Real-Time Citrus Leaf Disease Detection Using Deep Learning Approach 
    Ashar, Nur Salek (Daffodil International University, 2024-01-01)
    The spectre of devastating citrus diseases looms large over global agriculture, threatening yields and food security. Early and precise detection is crucial to mitigate crop losses and ensure food security. This research ...

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