Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction
Advanced deep learning methods have been widely adopted in stock movement prediction
with technical analysis (TA), while researchers prefer technical indicators to technical charts …
with technical analysis (TA), while researchers prefer technical indicators to technical charts …
Synthetic photoplethysmogram generation using two Gaussian functions
Evaluating the performance of photoplethysmogram (PPG) event detection algorithms
requires a large number of PPG signals with different noise levels and sampling …
requires a large number of PPG signals with different noise levels and sampling …
Short-term forecasting for energy consumption through stacking heterogeneous ensemble learning model
In the real-life, time-series data comprise a complicated pattern, hence it may be challenging
to increase prediction accuracy rates by using machine learning and conventional statistical …
to increase prediction accuracy rates by using machine learning and conventional statistical …
Correlation analysis of different measurement places of galvanic skin response in test groups facing pleasant and unpleasant stimuli
The galvanic skin response (GSR; also widely known as electrodermal activity (EDA)) is a
signal for stress-related studies. Given the sparsity of studies related to the GSR and the …
signal for stress-related studies. Given the sparsity of studies related to the GSR and the …
Visual approaches for exploratory data analysis: A survey of the visual assessment of clustering tendency (vat) family of algorithms
Exploratory data analysis (EDA) using data clustering is extremely important for
understanding the basic characteristics of a novel data set before develo** complex …
understanding the basic characteristics of a novel data set before develo** complex …
Wearables and the quantified self: Systematic benchmarking of physiological sensors
Wearable sensors are increasingly used in research, as well as for personal and private
purposes. A variety of scientific studies are based on physiological measurements from such …
purposes. A variety of scientific studies are based on physiological measurements from such …
Becalm: Intelligent Monitoring of Respiratory Patients
The Becalm project is an open and low-cost solution for the remote monitoring of respiratory
support therapies like the ones used in COVID-19 patients. Becalm combines a decision …
support therapies like the ones used in COVID-19 patients. Becalm combines a decision …
A data quality assessment framework for drinking water distribution system water quality time series datasets
K Gleeson, S Husband, J Gaffney… - … , Ecosystems and Society, 2023 - iwaponline.com
The derivation of information from monitoring drinking water quality at high spatiotemporal
resolution as it passes through complex, ageing distribution systems is limited by the …
resolution as it passes through complex, ageing distribution systems is limited by the …
Deep LSTM recurrent neural networks for arterial traffic volume data imputation
This research investigates the performance of deep learning to perform traffic data
imputation using Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) layers …
imputation using Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) layers …
Research on correlation analysis method of time series features based on dynamic time war** algorithm
Rich datasets related to the Earth have been obtained because of the rapid development of
Earth observation technologies. A broad range of prior research has investigated how to …
Earth observation technologies. A broad range of prior research has investigated how to …