1. The dataset is randomly split into a training set and a test set, both assumed to contain outliers. 2. Isolation Forest is trained on the training set fixed at 1000 samples.

FOREST HILLS, Mich. — With rough winter weather keeping many West Michigan residents indoors, mental health professionals are seeing the emotional impact firsthand. Mental health researchers estimate ...

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...

ABSTRACT: Modern Security Operations Centers (SOCs) face the dual challenge of identifying zero-day threats in high-throughput network streams and mitigating analyst alert fatigue. This paper proposes ...

Cell sorting, essential for diagnostics and early intervention, has evolved from conventional methods to sophisticated microfluidic approaches. These miniaturized systems leverage precise hydrodynamic ...

Loneliness has become a defining challenge of our time. One in three adult Americans says they have experienced loneliness at least once a week over the past year. With the evolution of online ...