IEEE

SimAD: A Simple Dissimilarity-Based Approach for Time-Series Anomaly Detection

Abstract: Despite the prevalence of reconstruction-based deep learning methods, time-series anomaly detection (TSAD) remains a tremendous challenge. Existing approaches often struggle with limited ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
The Chosun Ilbo on MSN

LG Chem Leverages AI, Drones for Anomaly Detection

LG Chem is accelerating efforts to enhance customer value by pursuing an "Artificial Intelligence Transformation (AX)" across ...

Cylerity Raises $4M Seed Round and Secures Up to $24M Debt Facility to Fix Healthcare’s Slow Pay Problem

Cylerity, a healthcare fintech company that helps providers access capital faster, today announced it has raised $4 million ...

How AI Detects Unusual Transactions And Phishing Attacks On Crypto Exchanges?

AI is revolutionizing security in crypto exchanges by detecting unusual transactions and phishing attacks effectively.
IEEE

Machine Learning Techniques for Intrusion Detection in Malware-Infected Android Devices

Abstract: With the proliferation of mobile devices especially Android smartphones malware infections have grown. By use of Decision Trees (DT), Support Vector Machines (SVMs), Random Forest (RFs), and ...