Ms. Duaiy e Amina

Designation

Lecturer

Department

Specialization

Python, Web Development, Database Management, SDLC

Qualifications

MS (Computer Science), DHA SUFFA University

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    Teaching Experience

    Salim Habib University
    Lecturer
    June 2025 – Present

    DHACSS
    Faculty Member
    Feb 2021 – May 2025

    Research Interest

    1, Artificial Intelligence
    2, Machine Learning
    3, Deep learning

    Selected Publications

    26/04/2025

    ECZEMA CLASSIFICATION USING MODIFIED CONVOLUTIONAL NEURAL NETWORK RESNET

    Skin disorders are serious health issues that impact people of all ages, and many of them still lack a proven treatment. The diagnosis and classification of skin diseases could be greatly enhanced by recent developments in artificial intelligence (AI), especially through deep learning techniques. Early diagnosis made possible by these methods can improve patient outcomes and survival rates. Deep learning models are more effective and possibly more accurate than traditional machine learning techniques since they require less operator involvement for feature extraction. Common inflammatory skin conditions like eczema are typified by dry, itchy, and irritated skin areas. Although the precise etiology of eczema is still unknown, a mix of environmental and genetic factors are thought to be responsible.

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