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Browsing by Author "Hasan, K. M. Zubair"

Browsing by Author "Hasan, K. M. Zubair"

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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 ...
  • 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 ...
  • Performance Evaluation of Ensemble-based Machine Learning Techniques for Prediction of Chronic Kidney Disease 
    Hasan, K. M. Zubair; Hasan, Md. Zahid (Advances in Intelligent Systems and Computing, Springer, 2019-05-03)
    Chronic kidney disease (CKD) is widespread and related with enhanced risk of cardiovascular disease and end-stage renal disease, which are possibly escapable through early detection and treatment of individuals at risk. ...
  • Recognition of Jute Diseases by Leaf Image Classification Using Convolutional Neural Network 
    Hasan, Md. Zahid; Ahamed, Md. Sazzadur; Rakshit, Aniruddha; Hasan, K. M. Zubair (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    As Convolutional Neural Network (CNN) is achieving the state-of-the-art in the field of image classification, this research work focuses on the finding prominent accuracy of the jute leaf image diseases using deep learning ...

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