Abstract: Classification of motor imagery electroencephalograph signals is a fundamental problem in brain–computer interface (BCI) systems. We propose in this paper a classification framework based on ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR ... which offers a novel technological support for tree species classification in forestry resource management.

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory ... and real-time anomaly detection, exposing results ...

An ARIMA-LSTM Hybrid Model for Stock Market Prediction Using Live Data. Journal of Engineering Science and Technology Review, ... Stock Price Prediction, Machine Learning, Time-Series Forecasting, ...

Low-rate Distributed Denial of Service (LDDoS) attacks are complex and common security issues, which disrupt the essential services of the varied and emerging networks. However, the traditional ...