Time Series Data and Recent Imputation Techniques for Missing Data: A Review

A Zainuddin, MA Hairuddin, AIM Yassin… - … on Green Energy …, 2022 - ieeexplore.ieee.org
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 …

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 …

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 …

Selection of statistical technique for imputation of single site-univariate and multisite–multivariate methods for particulate pollutants time series data with long gaps and …

KS Shakya, P Kumar - Environmental Science and Pollution Research, 2023 - Springer
Monitoring air contaminants has become essential to exposure science, toxicology, and
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 …

Assessing the Multiple Imputation Approach for Univariate Time Series Data of Geomagnetic Disturbance Event in Solar Cycle 24

A Zainuddin, MA Hairuddin, MH Jusoh… - … IEEE Symposium on …, 2023 - ieeexplore.ieee.org
Space weather data frequently contains gaps and missing information due to factors such as
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 …

[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 …

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 …