IEEE

LSTM and Isolation Forest integration for industrial motor failure prediction using vibration analysis

Abstract: This paper explores the integration of Long Short-Term Memory (LSTM) neural networks and Isolation Forest algorithms to predict failures in three-phase electric motors at a cement plant, ...
The New York Times

The Key to Understanding Russia Lies Deep in Its Forests

In “The Oak and the Larch,” Sophie Pinkham examines a vast history and culture through the branches of its ancient trees. By Joshua Hammer Joshua Hammer is the author of “The Mesopotamian Riddle: An ...
GitHub

RFX-Fuse: Breiman and Cutler's Random Forests as a Forest Unified Learning and Similarity Engine - Extended with Native Explainable Similarity

RFX-Fuse (Random Forests X [X=compression] — Forest Unified Learning and Similarity Engine) delivers Breiman and Cutler's complete vision for Random Forests as a Forests Unified Machine Learning and ...
IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

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 ...