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Browsing by Author "Junayed, Masum Shah"

Browsing by Author "Junayed, Masum Shah"

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  • AcneNet - A deep CNN Based Classification Approach for Acne Classes 
    Junayed, Masum Shah; Jeny, Afsana Ahsan; Neehal, Nafis; Atik, Syeda Tanjila (Scopus, 2019)
    Skin diseases are very common and nowadays easy to get remedy from. But, sometimes properly diagnosing these diseases can be quite troublesome due to the stiff hard-to-discriminate nature of the symptoms they exhibit. Deep ...
  • 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 ...
  • A Comparative Study of Different CNN Models in City Detection Using Landmark Images 
    Junayed, Masum Shah; Jeny, Afsana Ahsan; Neehal, , Nafis; Atik, Syeda Tanjila (Scopus, 2020)
    Abstract Navigation assistance using different local Landmarks is an emerging research field now-a-days. Landmark images taken from different camera angles are being vividly used alongside the GPS (Global Positioning ...
  • Deep Learning Based Approach for Identification of Local Fish 
    Junayed, Masum Shah; Jeny, Afsana Ahsan; Jisan, Nazmus Sadat (Daffodil International University, 2018-12)
    Bangladesh is considered one of the most suitable area for fish culture with the world's largest climate wetland with thousands of rivers and ponds and being a fish-loving nation. Learning a classification of fish can ...
  • 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 ...
  • FoNet - Local Food Recognition Using Deep Residual Neural Networks 
    Jeny, Afsana Ahsan; Junayed, Masum Shah; Ahmed, Ikhtiar; Habib, Md. Tarek; Rahman, Md. Riazur (Proceedings - 2019 International Conference on Information Technology, IEEE, 2019-12-21)
    Food is an inseparable part of any culture of any country all over the world. Recognition ability for local foods reflects the cultural strength. Moreover, it would be so beneficial if some can come to know the information ...
  • Improving Image Compression with Adjacent Attention and Refinement Block 
    Jeny, Afsana Ahsan; Islam, MD Baharul; Junayed, Masum Shah; Das, Debashish (Daffodil International University, 2022-08-01)
    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 ...
  • 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 ...
  • Incept-N 
    Junayed, Masum Shah; Jeny, Afsana Ahsan; Neehal, Nafis; Ahmed, Eshtiak; Hossain, Syed Akhter (Communications in Computer and Information Science, Springer, 2019-07-16)
    Nationality of a human being is a well-known identifying characteristic used for every major authentication purpose in every country. Albeit advances in application of Artificial Intelligence and Computer Vision in different ...
  • A Model for Identifying Historical Landmarks of Bangladesh from Image Content Using a Depth-Wise Convolutional Neural Network 
    Jeny, Afsana Ahsan; Junayed, Masum Shah; Atik, Syeda Tanjila; Mahamd, Sazzad (Springer, 2019-04-12)
    At present, tourism is considered to be one of the key factors shaping the development of a country’s economy. Most of the tourists tend to explore places that they find fascinating after watching pictures of that places ...
  • PassNet - Country Identification by Classifying Passport Cover Using Deep Convolutional Neural Networks 
    Jeny, Afsana Ahsan; Junayed, Masum Shah; Atik, Syeda Tanjila (2018 21st International Conference of Computer and Information Technology, ICCIT 2018, IEEE, 2019-02-04)
    Globalization has enhanced the transportation system resulting in the increased mobility of the people all around the world. More people are now travelling outside their own border for self-refreshment or business purpose. ...
  • 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 ...
  • 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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