IEEE

Automated Detection of Phishing Website Using Machine Learning Techniques

Abstract: Phishing is a major online security issue where attackers trick individuals into revealing sensitive data by creating fake websites. Such attacks are most common in financial and e-commerce ...
Frontiers

Differential diagnosis of eczema and psoriasis using routine clinical data and machine learning: development of a web-based tool in a multicenter outpatient cohort

Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...
IEEE

Insider Threat Detection using Machine Learning Models for User Behavior Analysis

Abstract: Insider threats pose a serious threat to an organization's security in the current digital environment. The emergence of Bring Your Own Device (BYOD) and Cloud Computing has made the ...
Frontiers

HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers

1 Analytics Department, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India 2 Department of Data Science, School of Computer Science and Engineering ...
C&EN

Electrochemical “Super-Fingerprinting” in Combination with Machine Learning for the On-Site Detection of Illicit Drugs

Antwerp Engineering, Photoelectrochemistry and Sensing (A-PECS), Department of Bioscience Engineering, University of Antwerp, Antwerp 2020, Belgium ...
C&EN

Machine Learning-Enhanced Analysis of miRNA Biomarkers for Accurate Breast Cancer Diagnosis Using DNA Seagrass

Department of Laboratory Medicine, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Core Unit of National Clinical Research ...