Abstract: This paper proposes a machine learning model based on the co-existence of static features for Android malware detection. The proposed model assumes that Android malware requests an abnormal ...

Abstract: Phishing website detection has been widely explored, yet most existing surveys focus on detection algorithms or general cybersecurity methods, offering only a brief treatment of feature ...

This project aims to detect and classify types of chest cancer using CT-scan images. It uses a combination of traditional machine learning methods and deep learning approaches to achieve high accuracy ...

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The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails ...

In a recent review published in the Life Journal, a group of authors reviewed image-processing techniques in machine learning (ML) for skin cancer detection using clinical images, evaluating their ...

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