Artificial intelligence for suspended sediment load prediction: a review
The estimation of sediment yield concentration is crucial for the development of stream
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
SBHS Asadollah, A Sharafati, D Motta… - Journal of environmental …, 2021 - Elsevier
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …
water quality. This study introduces a new ensemble machine learning model called Extra …
Prediction of water quality indexes with ensemble learners: Bagging and boosting
One of the most crucial jobs to improve water resources management plans is the
assessment of river water quality. A water quality index (WQI) takes multiple water quality …
assessment of river water quality. A water quality index (WQI) takes multiple water quality …
Density-weighted support vector machines for binary class imbalance learning
BB Hazarika, D Gupta - Neural Computing and Applications, 2021 - Springer
In real-world binary classification problems, the entirety of samples belonging to each class
varies. These types of problems where the majority class is notably bigger than the minority …
varies. These types of problems where the majority class is notably bigger than the minority …
An intuitionistic fuzzy kernel ridge regression classifier for binary classification
Kernel ridge regression (KRR) is a widely accepted efficient machine learning paradigm that
has been fruitfully implemented for solving both classification and regression problems. KRR …
has been fruitfully implemented for solving both classification and regression problems. KRR …
Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study
The impact of the suspended sediment load (SSL) on environmental health, agricultural
operations, and water resources planning, is significant. The deposit of SSL restricts the …
operations, and water resources planning, is significant. The deposit of SSL restricts the …
Water quality management using hybrid machine learning and data mining algorithms: An indexing approach
One of the key functions of global water resource management authorities is river water
quality (WQ) assessment. A water quality index (WQI) is developed for water assessments …
quality (WQ) assessment. A water quality index (WQI) is developed for water assessments …
[HTML][HTML] Evolutionary and ensemble machine learning predictive models for evaluation of water quality
Abstract Study region Bisham Qilla and Doyian stations, Indus River Basin of Pakistan Study
focus Water pollution is an international concern that impedes human health, ecological …
focus Water pollution is an international concern that impedes human health, ecological …
[HTML][HTML] Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)
Technological advancement encourages the usage of electronic appliances in daily life and
makes it possible for users to switch to more advanced devices very easily and at a …
makes it possible for users to switch to more advanced devices very easily and at a …
Monitoring the Industrial waste polluted stream-Integrated analytics and machine learning for water quality index assessment
Abstract The Water Quality Index (WQI) is a primary metric used to evaluate and categorize
surface water quality which plays a crucial role in the management of fresh water resources …
surface water quality which plays a crucial role in the management of fresh water resources …