State of art soft computing based simulation models for bearing capacity of pile foundation: a comparative study of hybrid ANNs and conventional models
Safety has been always challenging in geotechnical engineering owing to the inherently
variable nature of the soil. In pile foundations, conducting field tests is highly expensive and …
variable nature of the soil. In pile foundations, conducting field tests is highly expensive and …
[HTML][HTML] Models and explanatory variables in modelling failure for drinking water pipes to support asset management: a mixed literature review
E Forero-Ortiz, E Martinez-Gomariz… - Applied Water …, 2023 - Springer
There is an increasing demand to enhance infrastructure asset management within the
drinking water sector. A key factor for achieving this is improving the accuracy of pipe failure …
drinking water sector. A key factor for achieving this is improving the accuracy of pipe failure …
Appraisal of machine learning techniques for predicting emerging disinfection byproducts in small water distribution networks
Monitoring emerging disinfection byproducts (DBPs) is challenging for many small water
distribution networks (SWDNs), and machine learning-based predictive modeling could be …
distribution networks (SWDNs), and machine learning-based predictive modeling could be …
Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic
The challenging oil spill response in the Arctic calls for effective response decision support
tools. In this study, a framework comprising the development of various integrated fuzzy …
tools. In this study, a framework comprising the development of various integrated fuzzy …
Evaluation of machine learning techniques to select marine oil spill response methods under small-sized dataset conditions
Oil spill incidents can significantly impact marine ecosystems in Arctic/subarctic areas. Low
biodegradation rate, harsh environments, remoteness, and lack of sufficient response …
biodegradation rate, harsh environments, remoteness, and lack of sufficient response …
Efficacy of ANFIS-GOA technique in flood prediction: a case study of Mahanadi river basin in India
Accurateness in flood prediction is of utmost significance for mitigating catastrophes caused
by flood events. Flooding leads to severe civic and financial damage, particularly in large …
by flood events. Flooding leads to severe civic and financial damage, particularly in large …
[HTML][HTML] Sensitivity analysis for performance evaluation of a real water distribution system by a pressure driven analysis approach and artificial intelligence method
A Fiorini Morosini, S Shaffiee Haghshenas… - Water, 2021 - mdpi.com
Proper performance of water distribution networks (WDNs) plays a vital role in customer
satisfaction. The aim of this study is to conduct a sensitivity analysis to evaluate the behavior …
satisfaction. The aim of this study is to conduct a sensitivity analysis to evaluate the behavior …
Integrating spatial clustering with predictive modeling of pipe failures in water distribution systems
AA Abokifa, L Sela - Urban Water Journal, 2023 - Taylor & Francis
Pipe failures in water distribution infrastructure (WDI) have significant economic,
environmental and public health impacts. To alleviate these impacts, repair and replacement …
environmental and public health impacts. To alleviate these impacts, repair and replacement …
Effects of bottleneck blockage on the resilience of an urban stormwater drainage system
S Mohammadiun, J Yazdi, J Hager… - Hydrological …, 2020 - Taylor & Francis
Severe urban floods have frequently caused social and financial infrastructure problems due
to a lack of hydraulic capacity of urban drainage systems or the structural failure of network …
to a lack of hydraulic capacity of urban drainage systems or the structural failure of network …
A comparative study of total dissolved solids in water estimation models using Gaussian process regression with different kernel functions
S Zare Farjoudi, Z Alizadeh - Environmental Earth Sciences, 2021 - Springer
Total dissolved solids (TDS) concentration, as an essential variable in evaluating the quality
of drinking and agricultural water, represents water body salinity. In a river system, high TDS …
of drinking and agricultural water, represents water body salinity. In a river system, high TDS …