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Browsing by Author "Islam, Md Baharul"

Browsing by Author "Islam, Md Baharul"

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  • Automated Physical Distance Estimation and Crowd Monitoring Through Surveillance Video 
    Junayed, Masum Shah; Islam, Md Baharul (Springer Nature Limited, 2022-11-24)
    The contagious Corona Virus (COVID-19) transmission can be reduced by following and maintaining physical distancing (also known as COVID-19 social distance). The World Health Organisation (WHO) recommends preventing ...
  • Cataract Net 
    Junayed, Masum Shah; Islam, Md Baharul; Sadeghzadeh, Arezoo; Rahman, Saimunur (Scopus, 2021)
    Cataract is one of the most common eye disorders that causes vision distortion. Accurate and timely detection of cataracts is the best way to control the risk and avoid blindness. Recently, artificial intelligence-based ...
  • Deep Neural Network-Based Ensemble Model For Eye Diseases Detection And Classification 
    Jenny, Afsana Ahsan; Junayed, Masum Shah; Islam, Md Baharul (Institute of Advanced Engineering and Science (IAES), 2023-06-11)
    Fundus images are the principal tool for observing and recognizing a wide range of ophthalmological abnormalities. The automatic and robust methods based on color fundus images are urgently needed since few symptoms are ...
  • Eczemanet 
    Junayed, Masum Shah; Noman, Abu; Sakib, Md; Anjum, Nipa; Islam, Md Baharul; Jeny, Afsana Ahsan (2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), IEEE, 2021-02-01)
    Eczema is the most common among all types of skin diseases. A solution for this disease is very crucial for patients to have better treatment. Eczema is usually detected manually by doctors or dermatologists. It is tough ...
  • An Efficient End-to-End Deep Neural Network for Interstitial Lung Disease Recognition and Classification 
    Junayed, Masum Shah; Jeny, Afsana Ahsan; Islam, Md Baharul; Ahmed, Ikhtiar; Shah, A F M Shahen (Daffodil International University, 2022-10-21)
    The automated Interstitial Lung Diseases (ILDs) classification technique is essential for assisting clinicians during the diagnosis process. Detecting and classifying ILDs patterns is a challenging problem. This paper ...
  • Optimized Video Compression with Residual Split Attention and Swin-Block Artifact Contraction 
    Jeny, Afsana Ahsan; Islam, Md Baharul (Elsevier, 2023-02-04)
    Research in video compression has seen significant advancement in the last several years. However, the existing deep learning-based algorithms continue to be plagued by erroneous motion compression and ineffective motion ...
  • Real-time YOLO-based Heterogeneous Front Vehicles Detection 
    Junayed, Masum Shah; Islam, Md Baharul; Sadeghzadeh, Arezoo; Aydin, Tarkan (2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), IEEE, 2021-09-30)
    The perception of the complex road environment is a critical factor in autonomous driving, which has become the research focus in intelligent vehicles. In this paper, a real-time front vehicle detection system is proposed ...
  • SkNet 
    Jeny, Afsana Ahsan; Sakib, Abu Noman Md; Junayed, Masum Shah; Lima, Khadija Akter; Ahmed, Ikhtiar; Islam, Md Baharul (Scopus, 2020)
    Skin Cancer is one of the most common types of cancer. A solution for this globally recognized health problem is much required. Machine Learning techniques have brought revolutionary changes in the field of biomedical ...
  • Statistical and Spending Behavior based Fraud Detection of Card-based Payment System 
    Teh, Briant; Islam, Md Baharul; Kumar, Naresh; Islam, Md Kabirul; Eaganathan, Umapathy (IEEE, 2018-11-29)
    The occurrence of credit and debit card fraud has been a growing issue in the past years, not least due to the increased prevalence of card payments. This results in billions of dollars of lost revenue every year. The fraud ...
  • Stereoscopic Video Quality Measurement With Fine-Tuning 3D ResNets 
    Imani, Hassan; Islam, Md Baharul; Junayed, Masum Shah; Aydin, Tarkan; Arica, Nafiz (Springer, 22-08-12)
    Recently, Convolutional Neural Networks with 3D kernels (3D CNNs) have shown great superiority over 2D CNNs for video processing applications. In the field of Stereoscopic Video Quality Assessment (SVQA), 3D CNNs are ...

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