STM Journals Peer-reviewed research from Consortium e-Learning Network

2 publications

  • Published Subscription Original Research

    Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach

    By Malik Hyder Ali, Harsh Kumar

    Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …

    Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article

  • Published Subscription Review Article

    Hybrid DL-ML Approach for Android Malware Detection

    By Harsh Kumar, Rashid Rafiq Shah, Zubair Fayaz

    Abstract: The widespread growth of Android malware has become a significant mobile security threat during the past few years thus requiring the development of strong detection solutions. The primary tool applied in this research for Android malware detection consists of app permissions. The main indicator in the dataset for identifying malicious and benign applications functions through displaying application permission information. The evaluation of particular permission relationships with malware behavior leads to …

    Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 18–25 Read article

Support