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Browsing by Author "Hasan, Md Zahid"

Browsing by Author "Hasan, Md Zahid"

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  • Automated Breast Tumor Ultrasound Image Segmentation With Hybrid UNet and Classification Using Fine-Tuned CNN Model 
    Hossain, Shahed; Azam, Sami; Montaha, Sidratul; Karim, Asif; Chowa, Sadia Sultana; Mondol, Chaity; Hasan, Md Zahid; Jonkman, Mirjam (Elsevier, 2023-10-20)
    Introduction Breast cancer stands as the second most deadly form of cancer among women worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose The study aims to classify breast ...
  • Automated Prediction of Heart Disease Patients Using Sparse Discriminant Analysis 
    Hasan, K. M. Zubair; Datta, Shourob; Hasan, Md Zahid; Zahan, Nusrat (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-02-09)
    Linear Discriminant Analysis (LDA) is an easy and efficient method for pattern classification, while it is also broadly utilized for the initial discovery of diseases using Electronic Health Records (EHR) data. Nonetheless, ...
  • Automated Prediction of Phishing Websites Using Deep Convolutional Neural Network 
    Hasan, K. M. Zubair; Hasan, Md Zahid; Zahan, Nusrat (5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IEEE, 2019-07-12)
    Phishing is one of the ruinous issues encountered by the World Wide Web (WWW) and steers to the financial catastrophes for individuals and businesses. It has been perpetually a perplexing issue to identify phishing attacks ...
  • Content Based Document Classification Using Soft Cosine Measure 
    Hasan, Md Zahid; Hossain, Shakhawat; Rizvee, Md. Arif; Rana, Md. Shohel (International Journal of Advanced Computer Science and Applications, 2019)
    Abstract: Document classification is a deep-rooted issue in information retrieval and assumed to be an imperative part of an assortment of applications for effective management of text documents and substantial volumes of ...
  • A Crop Pest Classification Model Using Deep Learning Techniques 
    Malek, Md Abdul; Reya, Sanjida Sultana; Hasan, Md Zahid; Hossain, Shakhawat (IEEE, 2021-01)
    This paper provides a pest identification system to classify crops' beneficial and harmful pests. For that purpose, the paper first provides a detailed description of the available pests-identification techniques along ...
  • A Crop Pest Classification Model Using Deep Learning Techniques 
    Malek, Md Abdul; Reya, Sanjida Sultana; Hasan, Md Zahid; Hossain, Shakhawat (Scopus, 2021)
    This paper provides a pest identification system to classify crops' beneficial and harmful pests. For that purpose, the paper first provides a detailed description of the available pests-identification techniques along ...
  • A Deep Learning-based Approach for Edible, Inedible and Poisonous Mushroom Classification 
    Zahan, Nusrat; Hasan, Md Zahid; Malek, Md Abdul; Reya, Sanjida Sultana (2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), IEEE, 2021-04-12)
    Mushroom is one of the fungi types' food that has the most powerful nutrients on the plant. Nevertheless, the identification of edible, inedible and poisonous mushrooms among its existing species is a must due to its high ...
  • Development of an Automated Optimal Distance Feature-Based Decision System for Diagnosing Knee Osteoarthritis Using Segmented X-Ray Images 
    Fatema, Kaniz; Rony, Md Awlad Hossen; Azam, Sami; Mukta, Md Saddam Hossain; Karim, Asif; Hasan, Md Zahid; Jonkman, Mirjam (Elsevier, 2023-11-03)
    Knee Osteoarthritis (KOA) is a leading cause of disability and physical inactivity. It is a degenerative joint disease that affects the cartilage, cushions the bones, and protects them from rubbing against each other during ...
  • Handwritten Changma Numerals Recognition Using Capsule Networks 
    Hasan, Md Zahid; Hasan, K. M. Zubair; Hossain, Shakhawat; Al Mamun, Abdullah; Assaduzzaman, Md (2019 5th International Conference on Advances in Electrical Engineering, IEEE, 2019-09-28)
    Handwritten digit recognition is assumed to be a huge part in numerous authentication applications in the state-of-art technologies. As the manually written digits are not always found in similar size, thickness, style and ...
  • A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques 
    Hasan, Md Zahid (IEEE, 2021-01)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques 
    Hasan, Md Zahid; Zeba, Nahid; Malek, Md. Abdul; Reya, Sanjida Sultana (Scopus, 2021)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • A Novel Approach for Client Side Encryption in Cloud Computing 
    Islam, Md. Mahidul; Hasan, Md Zahid; Shaon, Rifat Ali (Scopus, 2020)
    Cloud computing has become the latest technological computing area providing a large number of advantage to the different organization with its different business model at low cost. Nevertheless, there is always a security ...

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