High granular and short term time series forecasting of air pollutant - a comparative review
Forecasting time series has acquired immense research importance and has vast
applications in the area of air pollution monitoring. This work attempts to investigate the …
applications in the area of air pollution monitoring. This work attempts to investigate the …
Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation
Low-rank matrix completion (LRMC) is a recently emerging technique which has achieved
promising performance in many real-world applications, such as traffic data imputation. In …
promising performance in many real-world applications, such as traffic data imputation. In …
Coupling of quantile regression into boosted regression trees (BRT) technique in forecasting emission model of PM10 concentration
Air pollution is currently becoming a significant global environmental issue. The sources of
air pollution in Malaysia are mobile or stationary. Motor vehicles are one of the mobile …
air pollution in Malaysia are mobile or stationary. Motor vehicles are one of the mobile …
Diabetes classification application with efficient missing and outliers data handling algorithms
Communication between sensors spread everywhere in healthcare systems may cause
some missing in the transferred features. Repairing the data problems of sensing devices by …
some missing in the transferred features. Repairing the data problems of sensing devices by …
Estimation of missing values in air pollution dataset by using various imputation methods
The aim of this study is to determine the best imputation method to fill in the various gaps of
missing values in air pollution dataset. Ten imputation methods such as Series Mean, Linear …
missing values in air pollution dataset. Ten imputation methods such as Series Mean, Linear …
Spatio-temporal changes in air quality of the urban area of Chongqing from 2015 to 2021 based on a missing-data-filled dataset
H Zhang, Y Nie, Q Deng, Y Liu, Q Lyu, B Zhang - Atmosphere, 2022 - mdpi.com
Air pollution is one of the severe environmental issues in Chongqing. Many measures made
by the government for improving air quality have been put into use these past few years …
by the government for improving air quality have been put into use these past few years …
[PDF][PDF] Days-ahead water level forecasting using artificial neural networks for watersheds
LC Velasco, JF Bongat, C Castillon… - Mathematical …, 2023 - aimspress.com
Watersheds of tropical countries having only dry and wet seasons exhibit contrasting water
level behaviour compared to countries having four seasons. With the changing climate, the …
level behaviour compared to countries having four seasons. With the changing climate, the …
A method for classification of missing values using data mining techniques
BS Panda, RK Adhikari - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
This paper is intended for research in the area of Data Mining. The classification accuracy is
improved by attributing the missing values of data. The effective attributing method model …
improved by attributing the missing values of data. The effective attributing method model …
A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration
The PM10 concentration is subject to significant changes brought on by both gaseous and
meteorological variables. The aim of this research was to explore the performance of a …
meteorological variables. The aim of this research was to explore the performance of a …
Data imputation methods for missing values in the context of clustering
Missing data is a common problem for data clustering quality. Most real-life datasets have
missing data, which in turn has some effect on clustering tasks. This chapter investigates the …
missing data, which in turn has some effect on clustering tasks. This chapter investigates the …