DIU Institutional Repository: Recent submissions

  • Improving the Accuracy of Heart Disease Prediction Approach of Machine Learning Algorithms 
    Hossain, Md. Belal; Uddin, Mohammed Nasir; Alvi, Syada Tasmia; Era, Chowdhury Abida Anjum (IEEE, 2023-05-23)
    The work is about forecasting heart disease. First and foremost, we gathered data from various sources and divided it into two portions, one of which is 80% and the other is 20%, where the first part is for training and ...
  • Improving Image Compression with Adjacent Attention and Refinement Block 
    Jeny, Afsana Ahsan; Islam, MD Baharul; Junayed, Masum Shah; Das, Debashish (IEEE, 2022-02-23)
    Recently, learned image compression algorithms have shown incredible performance compared to classic hand-crafted image codecs. Despite its considerable achievements, the fundamental disadvantage is not optimized for ...
  • A web-based Bangladesh Nearest on-spot car services 
    Munmun, Sabekunnahar (Daffodil International University, 2024-01-22)
    Generally, we go out in pursuit of life and livelihood. We have a goal and a destination. And we use a vehicle to reach our destination on time. Many time it is seen that the vehicle breaks down on the way. It is not ...
  • Improved Vision-Based Diagnosis of Multi-Plant Disease Using an Ensemble of Deep Learning Methods 
    Hridoy, Rashidul Hasan; Arni, Arindra Dey; Haque, Aminul (Institute of Advanced Engineering and Science (IAES), 2023-10-15)
    Farming and plants are crucial parts of the inward economy of a nation, which significantly boosts the economic growth of a country. Preserving plants from several disease infections at their early stage becomes cumbersome ...
  • A novel explainable AI-based approach: early-stage Thyroid disease classification 
    Nizhum, Md. (Daffodil International University, 2024-01-22)
    As of the most current information, thyroid illnesses remain widespread on a worldwide scale. The rate of hypothyroidism among Americans is around 4.6%, with a higher incidence seen in women and older individuals. ...
  • Improved Virtualization to Reduce e-Waste in Green Computing 
    -Ul-Mahmmud, Meharaj; Laskar, Md. Saif; Arafin, Mehrab; Molla, Md. Sajeeb; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer Nature, 2022-10-21)
    In this era of modern technologies, a huge amount of e-waste is being produced endlessly. The excessive production rate of e-waste is a great threat to our environment. Our work mainly focuses on the many ways of e-waste ...
  • Breast tumor detection using deep learning 
    Atikuzzaman, Md. (Daffodil International University, 2024-01-22)
    Finding tumor areas on breast ultrasonography pictures has long been a fascinating subject. The complex architecture of breast and the presence of noise in ultrasound images sometimes make it impossible for traditional ...
  • Improved Barnacle Mating Optimizer-Based Least Square Support Vector Machine to Predict COVID-19 Confirmed Cases with Total Vaccination 
    Ahmed, Marzia; Sulaiman, Mohd Herwan; Mohamad, Ahmad Johari (Association for Computing Machinery, 2023-03-01)
    Every country must have an accurate and efficient forecasting model to avoid and manage the epidemic. This paper suggests an upgrade to one of the evolutionary algorithms inspired by nature, the Barnacle Mating Optimizer ...
  • Bengali news clustering using k-means clustering based on LSA 
    Zilani, Rashedul Alam (Daffodil International University, 2024-01-24)
    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, 2024-01-01)
    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: ...
  • Impression Management and Employee Contextual Performance in Service Organizations (Enterprises) 
    Edeh, Friday Ogbu; Zayed, Nurul Mohammad; Darwish, Saad; Nitsenko, Vitalii; Hanechko, Iryna; Islam, K. M. Anwarul (Elsevier, 2023-04-14)
    This study aims to investigate the effect of impression management on employee contextual performance in service organizations using quantitative methods. The social influence theory, which explains the role of superior ...
  • Plant Leaf Disease Detection Using Deep Learning Algorithms 
    Labib, Raunak Muhtasim (Daffodil International University, 2024-01-01)
    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 ...
  • An advanced deep learning approach for predicting liver cirrhosis 
    Sohag, Sohanur Rahman (Daffodil International University, 2024-01-01)
    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 ...
  • Automated Trash Detection System Using Image Processing 
    Yeakub, Md (Daffodil International University, 2024-01-22)
    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 
    Haque, Md. Asraful (Daffodil International University, 2024-01-01)
    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, 2024-01-01)
    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 ...
  • Impacts of Renewable Energy on Output Elasticities and Implications for Factor Shares in European Countries 
    Das, Narasingha; Murshed, Muntasir; Gangopadhyay, Partha; Apergis, Nicholas (Springer Nature, 2022-08-08)
    The objective of this paper is to examine, for a panel of seven countries from the European Union, spanning the period 1986-2015, whether the use of renewable energy impacts their output elasticities of capital and labor ...
  • Impacts and Response Strategies of the COVID-19 Pandemic on the Construction Industry Using Structural Equation Modeling 
    Kassem, Mukhtar A.; Radzi, Afiqah R.; Pradeep, Asankha; Algahtany, Mohammed; Rahman, Rahimi A. (Elsevier, 2023-02-02)
    The COVID-19 pandemic is one of the most serious global health crises. It has had a massive impact on the global workforce and workplaces, causing enormous changes in the working environment and raising concerns among ...
  • If You Don’t Care, I Will Switch: Online Retailers’ Behaviour on Third-Party Logistics Services 
    Ngah, Abdul Hafaz; Thurasamy, Ramayah; Han, Heesup (Emerald Publishing Limited, 2023-05-04)
    Purpose The issue is which third-party logistics to engage, and escalating customer complaints about service quality of third-party logistics (3PL) enhances the tendency of online retailers to switch to another 3PL. The ...
  • Impact on Mental Health Due to COVID-19 Pandemic: A Cross-Sectional Study in Bangladesh 
    Pathan, Refat Khan; Biswas, Munmun; Yasmin, Suraiya; Uddin, Mohammad Amaz; Das, Anindya; Khandaker, Mayeen Uddin; Faruque, M.R.I.; Sarker, Moniruzzaman (Elsevier, 2023-07-20)
    The government of Bangladesh has implemented the “Stay Home” policy following the WHO recommendation to resist the community transmission of Covid-19. As a result, the routine activities of all government, semi-government ...

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