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A city-based PM2. 5 forecasting framework using Spatially Attentive Cluster-based Graph Neural Network model
Urban environments globally are under threat due to recent climate changes caused by a
variety of factors such as growing industrialization, rapid migration, increasing traffic flow …
variety of factors such as growing industrialization, rapid migration, increasing traffic flow …
[HTML][HTML] Assessment of long-term trends and map** of drought events in Tunisia
MAEH Mohamed, FI Moursy, MH Darrag… - Scientific African, 2023 - Elsevier
Drought is one of the most common natural disasters, affecting ecosystems, agricultural
production, and water supplies. This study presents the trend analysis of annual rainfall and …
production, and water supplies. This study presents the trend analysis of annual rainfall and …
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 …
[책][B] Boat-based recreational fishing in Western Australia 2020/21
KL Ryan, CB Smallwood, EK Lai - 2022 - researchgate.net
Recreational fishing is a popular activity in Western Australia, providing important social and
economic benefits to the State's population. The number of recreational fishers has …
economic benefits to the State's population. The number of recreational fishers has …
Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation
Missing data is a common problem in real-world data sets and it is amongst the most
complex topics in computer science and many other research domains. The common ways …
complex topics in computer science and many other research domains. The common ways …
Assessing the impact of land use and climate change on surface runoff response using gridded observations and swat+
P Kiprotich, X Wei, Z Zhang, T Ngigi, F Qiu, L Wang - Hydrology, 2021 - mdpi.com
The Anthropocene period is characterised by a general demographic shift from rural
communities to urban centres that transform the predominantly wild global landscape into …
communities to urban centres that transform the predominantly wild global landscape into …
Towards missing electric power data imputation for energy management systems
MC Wang, CF Tsai, WC Lin - Expert Systems with Applications, 2021 - Elsevier
Demand for electricity is gradually increasing in many countries. Efforts in related studies
have been made for the application of data mining techniques over related electric power …
have been made for the application of data mining techniques over related electric power …
Comparing single and multiple imputation approaches for missing values in univariate and multivariate water level data
Missing values in water level data is a persistent problem in data modelling and especially
common in develo** countries. Data imputation has received considerable research …
common in develo** countries. Data imputation has received considerable research …
[HTML][HTML] Transformer network for data imputation in electricity demand data
Load forecasting necessitates a significant amount of smart meter data. Several elements in
this process, including device malfunctions and signal transmission issues, produce missing …
this process, including device malfunctions and signal transmission issues, produce missing …
[HTML][HTML] A comparative analysis of missing data imputation techniques on sedimentation data
Sediment data pertains to various hydrological variables with complex sediment
hydrodynamics such as sedimentation rates which are often incompletely presented. Thus …
hydrodynamics such as sedimentation rates which are often incompletely presented. Thus …