DIU Institutional Repository: Recent submissions

  • Dengue Fever Prediction Using Machine Learning Approaches 
    Suchita, Ishrat (Daffodil International University, 2024-01-29)
    Dengue fever, also a viral infection spread by mosquitoes, is still a major global health concern, impacting millions of people each year. By applying a carefully controlled dataset of 521 entries and 23 variables, this ...
  • Bulkpulses - Ecommerce Website For Pulses Wholesale 
    Nag, Shovon Kumar (Daffodil International University, 2024-02-04)
    The goal of this project is to create an internet store that specializes in selling pulses. The website attempts to give users an easy-to-use and simple way to browse, choose, and buy a large range of pulses from the ...
  • Machine Learning and Deep Learning Approaches to Predict Early Stage of Diabetes 
    Baidya, Sonnet (Daffodil International University, 2024-01-29)
    This study offers a thorough methodology that makes use of a variety of deep learning and machine learning algorithms to predict early stage of diabetes. Recurrent neural networks (RNN), Feedforward Neural Networks (FNN), ...
  • Local Pothole detection using deep learning techniques 
    Tanvir., Md. Rakib (Daffodil International University, 2024-01-29)
    Potholes are surface irregularities on roads that are deeper than 20 mm and extend more than 75 mm horizontally. They can be caused by a number of circumstances, including poor construction, water buildup during the rainy ...
  • Utilizing Novel Convolutional Neural Networks for The Detection of Brain Tumors in MRI Images 
    Ahmed, Md. Tanvir (Daffodil International University, 2024-02-04)
    Embarking on a critical exploration of brain tumor detection, our research delves into the intricacies of this field, acknowledging the vital need for precise diagnostics. Employing custom Convolutional Neural Network ...
  • A Comparative Study Of Lung Cancer Detection Using Deep Transfer Learning With Keras Tuner 
    Datta, Sajeeb (Daffodil International University, 2024-02-04)
    Lung cancer is a type of cancer that begins in the cells of the lungs. It is one of the most common forms of cancer worldwide and is a leading cause of cancer-related deaths. Lung cancer usually develops in the cells ...
  • A Hybrid CNN and RNN Variant Model for Music Classification 
    Ashraf, Mohsin; Abid, Fazeel; Uddin, Ikram; Rasheed, Jawad; Yesiltepe, Mirsat; Yeo, Sook Fern; Erso, Merve T. (MDPI, 2023-01-22)
    Music genre classification has a significant role in information retrieval for the organization of growing collections of music. It is challenging to classify music with reliable accuracy. Many methods have utilized ...
  • Predictive Precision: An In-Depth Examination Of Machine Learning Approaches For Heart Attack Prognosis 
    Raj, Md Rakibul Islam (Daffodil International University, 2024-01-29)
    Currently several diseases have become epidemic in Bangladesh, one of them is heart attack. Anyone can suffer a heart attack at any age. Generally, older people and men are more prone to it. However, women are also at ...
  • House Capital Prediction Using Machine Learning in Python 
    Bone, Golam Ahmed (Daffodil International University, 2024-01-29)
    In this work, I explore the use of a machine-learning system to forecast whether the Home will be our asset or Liability after buying it. While there are certainly many factors to consider while buying a home, the house ...
  • A Hidden Markov Model-based Approach for Weather Prediction in Bangladesh 
    Chowdhury, M.R.Z.; Rahman, M.M.; Tanny, N.T.; Bushra, T.A. (Institute of Electrical and Electronics Engineers Inc., 2023-12-15)
    In the context of Bangladesh, a country prone to diverse and often unpredictable weather patterns, reliable weather forecasts are critical for making informed decisions and mitigating the impact of extreme weather events. ...
  • A Harmful Disorder: Predictive and Comparative Analysis for fetal Anemia Disease by Using Different Machine Learning Approaches 
    Hasan, Mahadi; Tahosin, Mst. Sazia; Farjana, Afia; Sheakh, Md. Alif; Hasan, Md Maruf (IEEE, 2023)
    Anemia is a major issue for public health with significant implications for national development, it remains a largely neglected health problem in many developing countries. Iron deficiency is responsible for at least 50% ...
  • A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming 
    Natesan, P.; Sathishkumar, V. E.; Mathivanan, Sandeep Kumar; Jayagopal, Prabhu; Allayear, Shaikh Muhammad (HINDAWI, 2023-02-01)
    With the advancement of Internet technologies and the rapid increase of World Wide Web applications, there has been tremendous growth in the volume of digital data. This takes the digital world into a new era of big data. ...
  • A Deep Learning Based Poisonous Frog Detection System 
    Jahan, Mushrat; Samia, Ismot Jahan; Younus, Saima Binta; Hakim, Md. Azizul; Jahan, Mushrat (IEEE, 2023-11-23)
    Frog species across the world are vulnerable and in decline, despite the fact that frogs are an integral part of biological systems. Within this enchanting world, we encounter two intriguing groups: non-poisonous and ...
  • A Deep Learning Approach to Detect and Classification of Lung Cancer 
    Khatun, Mst. Farhana; Ajmain, Moshfiqur Rahman; Assaduzzaman, Md. (IEEE, 2023-01-26)
    Cancer is a name of fear to people in the world. Ev- ery year millions of people dead of cancer in the world and lung cancer is one of them. Lung cancer is classified by our research. Non-small cell lung cancer (NSCLC) ...
  • A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal 
    Sangeetha, S. K. B.; Mathivanan, Sandeep Kumar; Muthukumaran, V.; Pughazendi, N.; Jayagopal, Prabhu; Uddin, Md Salah (HINDAWI, 2023-02-16)
    Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness behind the wheel. Using EEG technology for driving fatigue detection still presents challenges in extracting informative elements ...
  • A Deep Learning Approach to Detect Breast Cancer Disease from Mammogram Images 
    Sohel, Amir; Hossain, Shahed; Hasan, Md Umaid; Islam, Onamika; Das, Utpal Chandra; Rahman, Md. Mahfuzur (IEEE, 2023-12-15)
    Breast cancer is a significant cause of mortality among women. Breast cancer is regarded as the most severe concern among women. The early detection of breast cancer can potentially impact mortality rates significantly. ...
  • A Deep Learning Approach for Bengali News Headline Categorization 
    Bandan, Sheikh Sadi; Sunve, Sabid Ahmed; Romel, Shaklian Mostak (IEEE, 2023-08-08)
    A huge amount of information and data is now available in seconds through the internet. Due to the availability of internet in the world, as the amount of online news is increasing on the one hand, people are interested ...
  • A Data-Driven Approach to Forecasting Bangladesh Next-Generation Economy 
    Shohug, Md. Mahfuj Hasan; Bitto, Abu Kowshir; Rubi, Maksuda Akter; Bijoy, Md. Hasan Imam; Rahaman, Ashikur (Springer, 2023-05-16)
    Bangladesh is the most populous country on the planet. We recognized Bangladesh as an independent sovereign country, yet despite its large population, Bangladesh lags far behind the world’s wealthiest nations. In the ...
  • A Critical Review on the Potency of Phytoconstituents in the Management of COVID-19 
    Raman, Kannan; Rajagopal, Kalirajan; Swaminathan, Gomathi; Jupudi, Srikanth; Dhama, Kuldeep; Barua, Rashu; Emran, Talha Bin; Osman, Hamid; Khandaker, Mayeen Uddin (JPAM, 2023-09-02)
    Natural products and their derivatives have traditionally been used as a source of therapeutic agents. Their beneficial properties are due to large varieties in their chemical structures and biochemical actions. The discovery ...
  • A Convolutional Neural Network Based Potato Leaf Diseases Detection Using Sequential Model 
    Bonik, Choyon Chandra; Akter, Flora; Rashid, Md. Harunur; Sattar, Abdus (IEEE, 2023-04-03)
    One of Bangladesh’s primary agricultural products is the potato. In recent decades, Bangladesh has seen a surge in the popularity of potato farms. Nonetheless, farmer’s expenses in potato production are rising as a result ...

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