Michael E. Omeka
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View article: A Systematic Review On The Trends, Progresses, And Challenges In The Application Of Artificial Intelligence In Water Quality Assessment And Monitoring In Nigeria
A Systematic Review On The Trends, Progresses, And Challenges In The Application Of Artificial Intelligence In Water Quality Assessment And Monitoring In Nigeria Open
In recent decades, machine learning (ML) artificial intelligence has found wide application in water quality monitoring and prediction due to the increasing complexity of water quality data. This complexity has been attributed to the globa…
View article: Exploring the recent trends, progresses, and challenges in the application of Artificial intelligence in water quality assessment and monitoring in Nigeria: A systematic review
Exploring the recent trends, progresses, and challenges in the application of Artificial intelligence in water quality assessment and monitoring in Nigeria: A systematic review Open
In recent decades, machine learning (ML) artificial intelligence has found wide application in water quality monitoring and prediction due to the increasing complexity of water quality data. This complexity has been attributed to the globa…
View article: Irrigation suitability and health risk assessment of groundwater resources in the Firozabad industrial area of north-central India: An integrated indexical, statistical, and geospatial approach
Irrigation suitability and health risk assessment of groundwater resources in the Firozabad industrial area of north-central India: An integrated indexical, statistical, and geospatial approach Open
The recent global upsurge in anthropogenic activities has resulted in a decline in the quality of water. This by extension has resulted in increased ubiquity of water pollution in terms of sources. The application of traditional water qual…
View article: Application of GIS and feedforward back-propagated ANN models for predicting the ecological and health risk of potentially toxic elements in soils in Northwestern Nigeria
Application of GIS and feedforward back-propagated ANN models for predicting the ecological and health risk of potentially toxic elements in soils in Northwestern Nigeria Open
Potentially toxic elements occur naturally in most geologic materials. However, recent anthropogenic disturbances such as ore mining have contributed significantly to their enrichment in soils. Their occurrence in soil may portend a myriad…
View article: Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach
Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach Open
Poor irrigation water quality can mar agricultural productivity. Appraising the irrigation water quality requires the computation of various conventional quality parameters which are often time-consuming and associated with errors during s…
View article: Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils
Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils Open
Soft computing techniques, such as artificial neural network (ANN) and multiple linear regression (MLR), have been found useful in the predictive modeling of environmental hazard indicators, even in areas with data scarcity. The detachabil…