DIU Institutional Repository: Recent submissions

  • Bengali news clustering using k-means clustering based on LSA 
    Zilani, Rashedul Alam (Daffodil International University, 2024-01-25)
    Effective information retrieval and organization have become increasingly important, especially in contexts involving diverse cultural backgrounds, as the continued growth of digital content has demonstrated. The subject ...
  • Skin disease classification using deep learning 
    Remel, Mahinoor Islam (Daffodil International University, 2024-01-24)
    This study presents an in-depth study of the development of Skin Disease Classification using Deep Learning. The dataset was carefully selected to ensure that it was representative of the skin Disease of various kinds: ...
  • Plant leaf disease detection using deep learning algorithms 
    Labib, Raunak Muhtasim (Daffodil International University, 2024-01-25)
    In the agricultural landscape of Bangladesh, where farming plays a crucial role in the country's economy, the well-being of plants is vital for ensuring food security. The process of photosynthesis, occurring in the ...
  • StackDPP: Stacking-Based Explainable Classifier for Depression Prediction and Finding the Risk Factors Among Clinicians 
    Al-Zahrani, Fahad Ahmed; Abdulrazak, Lway Faisal; Ali, Md Mamun; Islam, Md Nazrul; Ahmed, Kawsar (MDPI Publications, 2023-08-20)
    Mental health is a major concern for all classes of people, but especially physicians in the present world. A challenging task is to identify the significant risk factors that are responsible for depression among physicians. ...
  • Stability of Perovskite Solar Cells: Issues and Prospects 
    Chowdhury, Tanzi Ahmed; Zafar, Md. Arafat Bin; Islam, Md. Sajjad-Ul; Shahinuzzaman, M.; Islam, Mohammad Aminul; Khandaker, Mayeen Uddin (The Royal Society of Chemistry, 2023-01-09)
    Even though power conversion efficiency has already reached 25.8%, poor stability is one of the major challenges hindering the commercialization of perovskite solar cells (PSCs). Several initiatives, such as structural ...
  • Spinal Cord Injury Immunosensor: Sensitive Detection of S100β on Interdigitated Electrode Sensor 
    Zhang, Hao; Gopinath, Subash C.B.; Hu, Yajun (Elsevier, 2023-08-22)
    A spinal cord injury is damage to the nerves and cells that receive and provide a signal from the brain to the rest of the body. Spinal injury causes changes in movement, sensation, and strength, affect the body functions ...
  • Spin Coated Multi-Walled Carbon Nanotube Patch Antenna for Breast Cancer Detection 
    Hasan, Raja Rashidul; Jasmine, Jasika; Saleque, Ahmed Mortuza; Eshan, Sumit Hassan; Tusher, Raja Tariqul Hasan; Zabin, Sadia; Nowshin, Nadia; Rahman, Md. Abdur; Tsang, Yuen Hong (John Wiley and Sons, 2023-10-27)
    Early detection of breast cancer can be a life-saving measure for many patients. The inaccessibility of X-rays, magnetic resonance imaging (MRI), and other medical facilities in many resource-constrained areas hinders the ...
  • Special Issue on Current Concepts and Challenges in Oral Health: Implications for the Global Population 
    Alam, Mohammad Khursheed; Kamal, Mohammad Amjad; Srivastava, Kumar Chandan (MDPI Publications, 2023-02-28)
    Oral health is an important dimension in the overall health of an individual. Its association with systemic health is a well-known concept. Most systemic diseases, such as diabetes mellitus and chronic renal failure, ...
  • Spatiotemporal Trends and Characteristics of Microplastic Contamination in a Large River-Dominated Estuary 
    Rakib, Md. Refat Jahan; Al Nahian, Sultan; Madadi, Reyhane; Haider, Sayeed Mahmood Belal; De-la-Torre, Gabriel Enrique; Walker, Tony R.; Jonathan, M. P.; Cowger, Win; Khandaker, Mayeen Uddin; Idris, Abubakr M. (The Royal Society of Chemistry, 2023-03-20)
    Microplastic (MP) pollution is a major global issue that poses serious threats to aquatic organisms. Although research on MP pollution has been extensive, the relationship between MPs and water quality parameters in estuarine ...
  • Spatiotemporal Analysis and Predicting Rainfall Trends in a Tropical Monsoon-Dominated Country Using Makesens and Machine Learning Techniques 
    Monir, Md. Moniruzzaman; Rokonuzzaman, Md.; Sarker, Subaran Chandra; Alam, Edris; Islam, Md. Kamrul; Islam, Abu Reza Md. Towfiqul (Springer Nature, 2023-08-25)
    Spatiotemporal rainfall trend analysis as an indicator of climatic change provides critical information for improved water resource planning. However, the spatiotemporal changing behavior of rainfall is much less understood ...
  • Spatio-Temporal Assessment of Water Quality of a Tropical Decaying River in India for Drinking Purposes and Human Health Risk Characterization 
    Hoque, Md. Mofizul; Islam, Aznarul; Islam, Abu Reza Md Towfiqul; Das, Balai Chandra; Pal, Subodh Chandra; Arabameri, Alireza; Khan, Rituparna (Springer Nature, 2023-09-01)
    River water pollution and water-related health problems are common issues across the world. The present study aims to examine the Jalangi River’s water quality to assess its suitability for drinking purposes and associated ...
  • Spatial-Temporal Variability and Probabilistic Health Risk Assessment of Fluoride From Lentic Ecosystem, Türkiye 
    Tokatlıa, Cem; Onur, Şirin Güner; Dindar, Mediha Büyükgöze; Malafaia, Guilherme; Islam, Abu Reza Md Towfiqul; Muhammad, Said (Taylor & Francis Group, 2023-04-17)
    Thrace Region is a part of the Marmara Region of Türkiye. There are many natural and artificial stagnant water habitats in the region that are used for irrigation and drinking water supply. This study is intended to determine ...
  • An advanced deep learning approach for predicting liver cirrhosis 
    Sohag, Sohanur Rahman (Daffodil International University, 2024-01-26)
    This study provides an advanced deep learning method for predicting liver cirrhosis using a Kaggle dataset of 615 entries with a target attribute "Liver Cirrhosis Status" that classifies answers as 'Yes' (75 cases) or ...
  • Soil Contamination and Health Risk Assessment at Coastal Upazilas of the Bangladesh: A Case Study 
    Arafina, Sk. Abdul Kader; Merazb, Md Musfike; Abdoc, Hazem Ghassan; Sobuzd, Md. Habibur Rahman; Merazd, Md Montaseer; Abedine, Md. Joynal; Ferdousf, J.; Hoqueg, Fazlul; Almohamadh, Hussein; Al Dughairih, Ahmed Abdullah; Albanaii, Jasem A. (Taylor & Francis Group, 2023-09-04)
    The present study analyzed soil samples from flood-prone Unions in two Coastal Upazilas of Bangladesh using Proton Induced X-Ray Emission (PIXE) techniques with Van de Graaff Accelerator for detecting heavy trace elements ...
  • Sodium Alginate/Hydroxyapatite/Nanocellulose Composites: Synthesis and Potentials for Bone Tissue Engineering 
    Iswarya, S.; Theivasanthi, T.; Gopinath, Subash C.B. (Elsevier, 2023-12-15)
    Sodium alginate/hydroxyapatite/Nano cellulose (SA/HA/NC) nanocomposite films that possess good biocompatibility for bone tissue engineering are prepared by a simple solution casting. HA is one of the most frequently used ...
  • Automated trash detection system using image processing 
    Yeakub, Md (Daffodil International University, 2024-01-25)
    In this modern world any type of detection is an important task. The reason is that in this 20th century anything can be easily found through detection. Among the several types of identification, trash detection is one ...
  • Blockchain security assessment : a review base assessment 
    Asraful, Md. (Daffodil International University, 2024-01-25)
    Blockchain technology, distinguished by its decentralized and irreversible design, has gained rapid adoption across sectors, offering heightened security and transparency. Despite its promises, the rising usage of ...
  • Thesis on Lung and Colon Cancer prediction and detection using deep learning 
    Dibosh, Arnob Ghosh (Daffodil International University, 2024-01-25)
    Classification of medical images is essential to the diagnosis of many diseases. This paper presents a thorough analysis of multimodal deep learning fusion methods for problems involving the classification of medical ...
  • Dengue fever anticipation: insights from advanced ml and deep learning models 
    Siam, A. K. M Fazlul Kobir (Daffodil International University, 2024-01-25)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including dengue disease, drawing considerable attention due to its impact on a large population. The severity of the illness can ...
  • Social Vulnerability, Impacts and Adaptations Strategies in the Face of Natural Hazards 
    Hossain, Babul; Shi, Guoqing; Ajiang, Chen; Sohel, Md. Salman; Yijun, Liu (Springer Nature, 2023-09-06)
    Background Bangladesh is one of the countries at risk of natural disasters due to climate change. In particular, inhabitants of its riverine islands (char) confront ongoing climatic events that heighten their vulnerability. ...

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