Human Activity Recognition with Ensemble Learning
HV Dudukcu, M Taskiran, ZGC Taskiran… - … on Digital Signal …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) has become a subject of interest for researchers with the
rapid increase in the number of smart buildings and cities in recent years. The common …
rapid increase in the number of smart buildings and cities in recent years. The common …
Generalized Symbolic Dynamics Weighted Network Prediction of Chaotic Time Series
Chaotic systems are sensitive to initial conditions. The exponential divergence of nearby
trajectories limits the accuracy of the long-term prediction of a chaotic time series. Because …
trajectories limits the accuracy of the long-term prediction of a chaotic time series. Because …
State-of-The-Art Deep Learning Models are Superior for Time Series Forecasting and are Applied Optimally with Iterative Prediction Methods
N Du Bois, L Hollywood, D Coyle - 2023 - papers.ssrn.com
In recent years many new algorithms have been developed for applications in speech and
image processing which may be repurposed for time series prediction. This paper presents …
image processing which may be repurposed for time series prediction. This paper presents …