The problem of time series segmentation (TSS) is to find a meaningful segmentation of a time series (TS) that captures a data-generating process with distinct states and transitions. We consider a ...

To encode the time-varying characteristics of a video, we explore the local phase quantization feature descriptor from three orthogonal planes (LPQ-TOP). The sparse autoencoder (SAE), an instance of ...

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...

Abstract: This article presents an innovative design method aimed at achieving a compact broadband true-time-delay (TTD) using the T-coil cascade approach. The proposed method utilizes matrix analysis ...