DIU Institutional Repository: Recent submissions

  • Deep Learning Approach for Detecting and Localizing Brain Tumor From Magnetic Resonance Imaging Images 
    Arefin, Abu Shahed Shah Md. Nazmul; Ishti, Shah Mohd Ishtiaque Ahammed Khan; Akter, Mst. Marium; Jahan, Nusrat (Institute of Advanced Engineering and Science (IAES), 2023-03-15)
    Brain is the most important part of the nervous system. Brain tumor is mainly a mass or growth of abnormal tissues in a brain. Early detection of brain tumor can reduce complex treatment process. Magnetic resonance images ...
  • Deep Neural Network-Based Approach to Identify the Paddy Leaf Disease using ResNet50-V2 
    Islam, M.A.; Rahman, M.M.; Shohan, A.A.; Pulok, R.A.; Akter, S.; Ahmed, M.T. (Elsevier, 2023-10-21)
    South Asian countries especially Bangladesh, India, and Srilanka are very involved in paddy cultivation. In Bangladesh and India, one of the key producing crops is paddy. Worldwide more than 40 percent of the world's ...
  • Deep Learning-Based Left Ventricular Ejection Fraction Estimation from Echocardiographic Videos 
    S., Rahman; B.D., Parameshachari; Haque R.; Swapno, Masfequier Rahman; S.M.N., Nobel; M., Babul Islam (Elsevier, 2023-10-21)
    Heart failure (HF) is a prevalent and life-threatening medical condition afflicting millions of people worldwide. A critical parameter in assessing cardiac function and detecting HF is the left ventricular ejection fraction ...
  • 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 ...
  • TLCommerce : An online shopping application 
    Khan, Md.Shibli-Uz-Zaman (Daffodil International University, 2024-01-01)
    TLCommerce is an innovative online shopping application created to promote a thriving shopping community where people can effortlessly order their beloved items. Shopping Lovers and others are continuously looking for ...
  • Face Recognition Based Attendance System Using Deep Learning Algorithm 
    Ferdous, Razayonoor Rahman (Daffodil International University, 2024-01-01)
    The Face Recognition Based Attendance System is an innovative advancement in attendance tracking, combining cutting-edge facial recognition technology with previously established methods. This system provides an effortless, ...
  • Determinants of Financial Inclusion in South Asia: The Moderating and Mediating Roles of Internal Conflict Settlement 
    Murshed, Muntasir; Ahmed, Rizwan; Al-Tal, Raad Mahmoud; Kumpamool, Chamaiporn; Vetchagool, Witchulada; Avarado, Rafael (IEEE, 2023-01-09)
    Financial inclusion is recognized as a key enabler of the 2030 Sustainable Development Goals agenda of the United Nations. Hence, this study investigates the impacts of internal conflicts, economic growth, information and ...
  • Determinants of Electric Car Patronage Intention 
    Aravindan, Kalisri Logeswaran; Izzat, Muhammad Aiman; Ramayah, Thurasamy; Chen, Thing Soong; Choong, Yap Voon; Annamalah, Sanmugam; Ilhavenil, Narinasamy; Ahmad, Arman Bin (Institute of Electrical and Electronics Engineers Inc., 2023-10-31)
    "Electric vehicles have been popularized as an environmentally friendly alternative to fuel-based transportation. The Malaysian government and vehicle manufacturers have encouraged the adoption of electric cars, yet ...
  • Determinants and Predictors of Mental Health During and After COVID-19 Lockdown Among University Students in Malaysia 
    Zakaria, Muhammad; Islam, Muhammad Aminul; Islam, Md Khadimul; Begum, Aklima; Poly, Nahida Akter; Cheng, Feng; Xu, Junfang (Frontier Scientific Publishing, 2023-05-02)
    "Objectives The aims are to explore the factors influencing Bangladeshi patients' decision-making process and their satisfaction level toward medical tourism in India. Methods The study used a quantitative research approach ...
  • Determinants and Predictors of Mental Health During and After COVID-19 Lockdown Among University Students in Malaysia 
    Mir, Imtiyaz Ali; Ng, Shang Kuan; Jamali, Muhammad Noh Zulfikri Mohd; Jabbar, Mohammed AbdulRazzaq; Humayra, Syeda (PLOS ONE, 2023-01-20)
    "Background: Young adults, particularly university students might be at greater risk of developing psychological distress, and exhibiting symptoms of anxiety and depression during the COVID-19 pandemic. The primary objective ...
  • Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier 
    Mahmud, S M Hasan; Ali, Md Mamun; Shahriar, Mohammad Fahim; Al-Zahrani, Fahad Ahmed; Ahmed, Kawsar; Nandi, Dip; Bui, Francis M. (Tech Science Press, 2023-10-08)
    Alzheimer’s disease (AD) is a neurodevelopmental impairment that results in a person’s behavior, thinking, and memory loss. The most common symptoms of AD are losing memory and early aging. In addition to these, there ...
  • Detection and Counter Measure of Packet Misrouting by GPS-Free Positioning of Ad-Hoc Nodes 
    Sathianesan, Godfrey Winster; S. Gnanavel; R. Salini; V. Raji; Anand, R. Vijay; Uddin, Md Salah (Hindawi Publications, 2023-04-19)
    The ad-hoc networks are a developing area of research with a large and wide variety of applications and related requirements. The nodes participating in an ad-hoc network use different routing protocols to send their packets ...
  • Classification of bird species using deep learning 
    Apu, Md Sharifuzzaman (Daffodil International University, 2024-01-01)
    Many bird species are rare to find these days, and even when they are, it might be difficult to classify them. For example, birds have different sizes, shapes, and colors depending on the situation, and they also have ...
  • Iot based fish farming and monitoring system 
    Summum, Reafat (Daffodil International University, 2024-01-01)
    Current human population is 7.8 million and the growth rate is around 1.05% per year hence food demand is also increasing accordingly. Globally 155 million tons of fish production is consumed by humans. Fish for human ...
  • Smart e-commerce shop 
    Panday, Biljeynedra Prosad (Daffodil International University, 2023-12-01)
    Revolutionizing the landscape of online retail, this e-commerce venture sets itself apart by redefining the very essence of digital product selling. Offering a sophisticated platform, it seamlessly integrates cutting-edge ...
  • Detecting Tomato Leaf Diseases by Image Processing Through Deep Convolutional Neural Networks 
    Hossain, Md. Iqbal; Jahan, Sohely; Asif, Md. Rashid Al; Samsuddoha, Md.; Ahmed, Kawsar (Elsevier, 2023-08-22)
    Machine Learning (ML) and Deep Learning (DL) have already brought unprecedented success in the detection of various diseases of plant leaves, fruits, buds, flowers, etc. Besides, computer science and related field researchers ...

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