A city-based PM2. 5 forecasting framework using Spatially Attentive Cluster-based Graph Neural Network model

S Mandal, M Thakur - Journal of Cleaner Production, 2023 - Elsevier
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 …

[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 …

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 …

[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 …

Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation

AH Alamoodi, BB Zaidan, AA Zaidan, OS Albahri… - Chaos, Solitons & …, 2021 - Elsevier
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 …

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 …

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 …

Comparing single and multiple imputation approaches for missing values in univariate and multivariate water level data

N Umar, A Gray - Water, 2023 - mdpi.com
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 …

[HTML][HTML] Transformer network for data imputation in electricity demand data

A Lotfipoor, S Patidar, DP Jenkins - Energy and buildings, 2023 - Elsevier
Load forecasting necessitates a significant amount of smart meter data. Several elements in
this process, including device malfunctions and signal transmission issues, produce missing …

[HTML][HTML] A comparative analysis of missing data imputation techniques on sedimentation data

WS Loh, L Ling, RJ Chin, SH Lai, KK Loo… - Ain Shams Engineering …, 2024 - Elsevier
Sediment data pertains to various hydrological variables with complex sediment
hydrodynamics such as sedimentation rates which are often incompletely presented. Thus …