Abstract We propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques.In particular, Crafting Materials we utilized autoencoder-based deep learning models for unsupervised learning using only normal training vibration data.Datasets were generated from South Korean high-speed train data, and
Introduction: In recent years, a great part of the population has been affected by natural and man-caused disasters.Hence, evacuation planning has an important role in the reduction of the number of victims during a natural disaster.Objective: In order to contribute to current studies of operations research in disaster management, this paper addres
This article proposes a novel Direct Detection (DD) scheme for multiple-input multiple-output (MIMO) unmanned aerial vehicle (UAV) communications where tedious, slow, and computationally demanding channel state information (CSI) estimation and detection processes are Countertop Deep Fryers not required.The proposed detection scheme is achieved by e