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Browsing Articles by Author "Zahan, Nusrat"

Browsing Articles by Author "Zahan, Nusrat"

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  • 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 ...
  • 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 ...
  • Integrated Use of Rough Sets and Artificial Neural Network for Skin Cancer Disease Classification 
    Hasan, Md. Zahid; Shoumik, Shadman; Zahan, Nusrat (5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019, IEEE, 2019)
    The aim of this study is to build a classifier for predicting a disease existence by learning a least conventional set of features extracted from the clinical dataset. Rough set, indiscernibility relation method along with ...

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