Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing
Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …
animals, and people. Over the last decades, gradual changes in drought indices have been …
Predicting water quality with artificial intelligence: A review of methods and applications
D Irwan, M Ali, AN Ahmed, G Jacky, A Nurhakim… - … Methods in Engineering, 2023 - Springer
The water is the main pivotal sources of irrigation in agricultural activities and affects human
daily activities such as drinking. The water quality has a significant impact on various …
daily activities such as drinking. The water quality has a significant impact on various …
[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques
Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …
classification schemes. Consequently, different methods provide a number of interpretations …
[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index
Coastal water quality assessment is an essential task to keep “good water quality” status for
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
[HTML][HTML] A sophisticated model for rating water quality
Here, we present the Irish Water Quality Index (IEWQI) model for assessing transitional and
coastal water quality in an effort to improve the method and develop a tool that can be used …
coastal water quality in an effort to improve the method and develop a tool that can be used …
[HTML][HTML] Assessing and forecasting water quality in the Danube River by using neural network approaches
The health and quality of the Danube River ecosystems is strongly affected by the nutrients
loads (N and P), degree of contamination with hazardous substances or with oxygen …
loads (N and P), degree of contamination with hazardous substances or with oxygen …
Water quality prediction using machine learning models based on grid search method
Water quality is very dominant for humans, animals, plants, industries, and the environment.
In the last decades, the quality of water has been impacted by contamination and pollution …
In the last decades, the quality of water has been impacted by contamination and pollution …
Water quality index classification based on machine learning: A case from the Langat River Basin model
Traditionally, water quality is evaluated using expensive laboratory and statistical
procedures, making real-time monitoring ineffective. Poor water quality requires a more …
procedures, making real-time monitoring ineffective. Poor water quality requires a more …
A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality's parameters: current trends and future directions
ZS Khudhair, SL Zubaidi, S Ortega-Martorell… - Environments, 2022 - mdpi.com
Water quality has a significant influence on human health. As a result, water quality
parameter modelling is one of the most challenging problems in the water sector. Therefore …
parameter modelling is one of the most challenging problems in the water sector. Therefore …
[PDF][PDF] Comparison of ensemble hybrid sampling with bagging and boosting machine learning approach for imbalanced data
NHA Malek, WFW Yaacob, YB Wah… - Indones. J. Elec. Eng …, 2023 - academia.edu
Training an imbalanced dataset can cause classifiers to overfit the majority class and
increase the possibility of information loss for the minority class. Moreover, accuracy may not …
increase the possibility of information loss for the minority class. Moreover, accuracy may not …