In this paper, a novel method, relying on Markov Transition Fields (MTF) and deep learning,
is proposed to classify the vibration-events and measure vibration-frequency, for-OTDR …

In this paper, an unsupervised-learning method for events-identification in φ-OTDR fiber-
optic distributed vibration sensor is proposed. The different vibration-events including …

Financial time series data are inherently complex, encompassing various components such
as trends, seasonal patterns, and irregular fluctuations. This paper presents a …

This study presents a comprehensive framework for predicting crude oil prices by integrating
textual features extracted from news headlines into a time series forecasting model. The …

This article discusses topic-level sentiment analysis using machine learning techniques
such as topic modeling and Latent Dirichlet allocation (LDA). Topic modeling is an …