Recent advances in reinforcement learning in finance
The rapid changes in the finance industry due to the increasing amount of data have
revolutionized the techniques on data processing and data analysis and brought new …
revolutionized the techniques on data processing and data analysis and brought new …
A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence
C Zhao - Journal of Process Control, 2022 - Elsevier
The development of the Internet of Things, cloud computing, and artificial intelligence has
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition
ÜÇ Büyükşahin, Ş Ertekin - Neurocomputing, 2019 - Elsevier
Many applications in different domains produce large amount of time series data. Making
accurate forecasting is critical for many decision makers. Various time series forecasting …
accurate forecasting is critical for many decision makers. Various time series forecasting …
Trading volume and realized volatility forecasting: Evidence from the China stock market
The existing contradictory findings on the contribution of trading volume to volatility
forecasting prompt us to seek new solutions to test the sequential information arrival …
forecasting prompt us to seek new solutions to test the sequential information arrival …
Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
Y Wei, MC Chen - Transportation Research Part C: Emerging …, 2012 - Elsevier
Short-term passenger flow forecasting is a vital component of transportation systems. The
forecasting results can be applied to support transportation system management such as …
forecasting results can be applied to support transportation system management such as …
A hybrid model for PM2. 5 forecasting based on ensemble empirical mode decomposition and a general regression neural network
Exposure to high concentrations of fine particulate matter (PM 2.5) can cause serious health
problems because PM 2.5 contains microscopic solid or liquid droplets that are sufficiently …
problems because PM 2.5 contains microscopic solid or liquid droplets that are sufficiently …
Feature extraction and recognition of ictal EEG using EMD and SVM
S Li, W Zhou, Q Yuan, S Geng, D Cai - Computers in biology and medicine, 2013 - Elsevier
Automatic seizure detection is significant for long-term monitoring of epilepsy, as well as for
diagnostics and rehabilitation, and can decrease the duration of work required when …
diagnostics and rehabilitation, and can decrease the duration of work required when …
Daily air quality index forecasting with hybrid models: A case in China
S Zhu, X Lian, H Liu, J Hu, Y Wang, J Che - Environmental pollution, 2017 - Elsevier
Air quality is closely related to quality of life. Air pollution forecasting plays a vital role in air
pollution warnings and controlling. However, it is difficult to attain accurate forecasts for air …
pollution warnings and controlling. However, it is difficult to attain accurate forecasts for air …
Classification of seizure based on the time-frequency image of EEG signals using HHT and SVM
K Fu, J Qu, Y Chai, Y Dong - Biomedical Signal Processing and Control, 2014 - Elsevier
The detection of seizure activity in electroencephalogram (EEG) signals is crucial for the
classification of epileptic seizures. However, epileptic seizures occur irregularly and …
classification of epileptic seizures. However, epileptic seizures occur irregularly and …