Estimation of monthly rainfall missing data in Southwestern Colombia: comparing different methods
Historical rainfall records are relevant in hydrometeorological studies because they provide
information on the spatial features, frequency, and amount of precipitated water in a specific …
information on the spatial features, frequency, and amount of precipitated water in a specific …
Climate change impacts on sea level rise to flood depth and extent of Sarawak River
This study focuses on the impact of climate change on Sarawak River flow due to heavy
rainfall and the backflow of sea level. The sea level around Sarawak is expected to rise at …
rainfall and the backflow of sea level. The sea level around Sarawak is expected to rise at …
[PDF][PDF] A particle swarm optimization levy flight algorithm for imputation of missing creatinine dataset
Acute Kidney Injury (AKI) is a sudden episode of abrupt loss of kidney failure within a few
hours and or a few days. A well-described definition by Kidney Disease Improving Global …
hours and or a few days. A well-described definition by Kidney Disease Improving Global …
Utilization of Machine Learning Approaches for Rainfall Data Imputation: A Systematic Literature Review
Incomplete data is a frequent issue in rainfall observation data records which can affect the
results of analysis or modeling using rainfall data. Incompleteness of rainfall data can occur …
results of analysis or modeling using rainfall data. Incompleteness of rainfall data can occur …
[PDF][PDF] International Journal of Advanced Trends in Computer Science and Engineering
AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah… - International …, 2019 - arxiv.org
Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …
lot of the researchers' attention in the recent few years. As a proven powerful machine …
[HTML][HTML] Green Roof Performance for Stormwater Management in Equatorial Urban Areas Using Storm Water Management Model (SWMM)
Many Low Impact Developments (LIDs) have recently been developed as a sustainable
integrated strategy for managing the quantity and quality of stormwater and surrounding …
integrated strategy for managing the quantity and quality of stormwater and surrounding …
Time Series Imputation using VAR-IM (Case Study: Weather Data in Meteorological Station of CITEKO)
Univariate imputation methods are defined as imputation methods that only use the
information of the target variable to estimate missing values. While univariate imputation …
information of the target variable to estimate missing values. While univariate imputation …
CUCKOO SEARCH OPTIMIZATION NEURAL NETWORK MODELS FOR FORECASTING LONG-TERM PRECIPITATION
It is more crucial than ever to make quantitative prediction patterns of precipitation due to
climate change and global warming concerns. The foundation for many climate change …
climate change and global warming concerns. The foundation for many climate change …
[PDF][PDF] Metaheuristic Algorithms to Enhance the Performance of a Feedforward Neural Network in Addressing Missing Hourly Precipitation
This research study investigates the implementation of three metaheuristic algorithms,
namely, Grey wolf optimizer (GWO), Multi-verse optimizer (MVO), and Moth-flame …
namely, Grey wolf optimizer (GWO), Multi-verse optimizer (MVO), and Moth-flame …
PENERAPAN KNNIMPUTER DALAM MENGOLAH DATA MISSING VALUE UNTUK MEMBANTU MENINGKATKAN AKURASI SUPPORT VECTOR MACHINE …
Thyroid is a condition of abnormalities in a person due to thyroid disorders. Based on data
from the ministry of health in the world, the prevalence of thyroid is still relatively high, if five …
from the ministry of health in the world, the prevalence of thyroid is still relatively high, if five …