Time Series Data and Recent Imputation Techniques for Missing Data: A Review
The development of multisensory systems and the ongoing application of data collection
technologies have both contributed to the explosion of time series data. However, due to …
technologies have both contributed to the explosion of time series data. However, due to …
Observed warming trends at US Army basic combat training installations and implications for future recruit training
EM Patton, MW Doyle - Military Medicine, 2024 - academic.oup.com
Introduction Army recruits conducting BCT are among the most susceptible population of
military personnel to experience exertional heat illness, a concern expected to become …
military personnel to experience exertional heat illness, a concern expected to become …
Applying seasonal time series modeling to forecast marine fishery landings for six species in the Colombian Pacific Ocean
IF Benavides, JP Romero-Leiton, M Santacruz… - Regional Studies in …, 2022 - Elsevier
Marine fisheries are keystone components of the industrial and social development of
countries. Management of marine resources requires forecasting skills to support best …
countries. Management of marine resources requires forecasting skills to support best …
Selection of statistical technique for imputation of single site-univariate and multisite–multivariate methods for particulate pollutants time series data with long gaps and …
Monitoring air contaminants has become essential to exposure science, toxicology, and
public health research. However, missing values are common while monitoring air …
public health research. However, missing values are common while monitoring air …
Prediction of geomagnetically induced currents in low-latitude regions using deep learning.
A Zainuddin, MA Hairuddin… - Current Science …, 2024 - search.ebscohost.com
The present study proposes a geomagnetically induced currents (GICs) prediction model for
three low-latitude locations, Huancayo, Peru, Addis Ababa, Ethiopia and Guam, United …
three low-latitude locations, Huancayo, Peru, Addis Ababa, Ethiopia and Guam, United …
Assessing the Multiple Imputation Approach for Univariate Time Series Data of Geomagnetic Disturbance Event in Solar Cycle 24
Space weather data frequently contains gaps and missing information due to factors such as
the uneven distribution of monitoring equipment, interruptions in transmission, equipment …
the uneven distribution of monitoring equipment, interruptions in transmission, equipment …
Time Series Modeling to Ascertain Age in Fisheries Management
KS Kirch - 2024 - digitalcommons.odu.edu
The ability to assign accurate ages of fish is important to fisheries management. Accurate
ageing allows for the most reliable age-based models to be used to support sustainability …
ageing allows for the most reliable age-based models to be used to support sustainability …
[PDF][PDF] Application of the Known Sub-Sequence Algorithm to Select the Imputation Method for Time Series of Electric Energy Consumption
A Kowalska-Styczeń, A Sojda… - Zeszyty Naukowe …, 2023 - managementpapers.polsl.pl
Purpose: The key element of effective electricity management is to improve the accuracy of
forecasting its consumption. To create a forecast, data on customers' energy consumption in …
forecasting its consumption. To create a forecast, data on customers' energy consumption in …
Research on data missing filling of smart watt-hour meter based on variational self-encoder
X Li, F Zhang, Y Li, J Yang - Sixth International Conference on …, 2023 - spiedigitallibrary.org
The data of smart watt-hour meter has high-dimensional characteristics, and it is difficult to
represent, so it is impossible to ensure high-precision filling of missing data. Therefore, the …
represent, so it is impossible to ensure high-precision filling of missing data. Therefore, the …