Application of machine learning in water resources management: A systematic literature review
In accordance with the rapid proliferation of machine learning (ML) and data management,
ML applications have evolved to encompass all engineering disciplines. Owing to the …
ML applications have evolved to encompass all engineering disciplines. Owing to the …
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …
the field of dam engineering. Authored by research engineers specializing in civil …
Advanced machine learning techniques to improve hydrological prediction: A comparative analysis of streamflow prediction models
The management of water resources depends heavily on hydrological prediction, and
advances in machine learning (ML) present prospects for improving predictive modelling …
advances in machine learning (ML) present prospects for improving predictive modelling …
Develo** bearing capacity model for geogrid-reinforced stone columns improved soft clay utilizing MARS-EBS hybrid method
Because of the complicated geometry and a lack of knowledge about the parameters that
impact it, estimating the ultimate bearing capacity (q rs) of a geogrid-reinforced sandy bed …
impact it, estimating the ultimate bearing capacity (q rs) of a geogrid-reinforced sandy bed …
An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical …
Reliable runoff prediction plays a significant role in reservoir scheduling, water resources
management, and efficient utilization of water resources. To effectively enhance the …
management, and efficient utilization of water resources. To effectively enhance the …
A research landscape bibliometric analysis on climate change for last decades: Evidence from applications of machine learning
Climate change (CC) is one of the greatest threats to human health, safety, and the
environment. Given its current and future impacts, numerous studies have employed …
environment. Given its current and future impacts, numerous studies have employed …
An inclusive survey on marine predators algorithm: Variants and applications
Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …
management. Therefore, the present study aimed to analyze and predict the water quality …
Several tree-based solutions for predicting flyrock distance due to mine blasting
Blasting operations involve some undesirable environmental issues that may cause damage
to equipment and surrounding areas. One of them, and probably the most important one, is …
to equipment and surrounding areas. One of them, and probably the most important one, is …
Data-driven optimized artificial neural network technique for prediction of flyrock induced by boulder blasting
One of the most undesirable consequences induced by blasting in open-pit mines and civil
activities is flyrock. Furthermore, the production of oversize boulders creates many problems …
activities is flyrock. Furthermore, the production of oversize boulders creates many problems …