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Ground fissure susceptibility map** based on factor optimization and support vector machines
For the purpose of batter evaluating ground fissure susceptibility (GFS), this study developed a hybrid model based on factor optimization and...
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Support Vector Machines (SVM)
The concept of SVM is introduced. The algorithm to compute the optimal hyperplane for classification and implementation is discussed. The...
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Integrating Support Vector Machines with Different Ensemble Learners for Improving Streamflow Simulation in an Ungauged Watershed
Streamflow simulation, particularly in ungauged watersheds, poses a significant challenge in surface water hydrology. The estimation of natural river...
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A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in the Ziveh Aquifer–West Azerbaijan, NW Iran
In many parts of the world, especially where surface water resources are rare or not available, groundwater as the largest source of freshwater is...
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Hybrid Approach for Streamflow Prediction: LASSO-Hampel Filter Integration with Support Vector Machines, Artificial Neural Networks, and Autoregressive Distributed Lag Models
The generation of streamflow is linked with different factors such as water level, rainfall intensity, meteorological variables, and many more. In...
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Classification of the equatorial plasma bubbles using convolutional neural network and support vector machine techniques
Equatorial plasma bubble (EPB) is a phenomenon characterized by depletions in ionospheric plasma density being formed during post-sunset hours. The...
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Support vector machine (SVM) model development for prediction of fecal coliform of Upper Green River Watershed, Kentucky, USA
The classification and prediction of water quality parameters (WQPs) such as Fecal Coliform in river waters are crucial for develo** a Decision...
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Streamflow prediction using support vector regression machine learning model for Tehri Dam
Accurate and reliable streamflow prediction is critical for optimising water resource management, reservoir flood operations, watershed management,...
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Application of Support Vector Machine (SVM) Method in Reservoir Lithology Classification in Sichuan Basin
Reservoir evaluation is essential for the scientific and rational design of geological exploration plans, and reservoir evaluation relies on...
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Weight Analysis of Impact Factors of Interbedded Anti-Inclined Slopes Block-Flexure Toppling Based on Support Vector Regression
Block-flexure toppling failure is frequently encountered in interbedded anti-inclined rock (IAR) slopes, and seriously threatens the construction of...
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A case study of tunnel boring machines advance rate prediction using meta-heuristic techniques
The advance rate (AR) of tunnel boring machines (TBMs) plays a pivotal role in evaluating their efficiency in tunnel engineering projects. This study...
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Compressive strength prediction of ternary blended geopolymer concrete using artificial neural networks and support vector regression
The development of ternary blended geopolymers is one of the recent advancements in geopolymer concrete technology, which utilizes different source...
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Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques
The selection of important factors in machine learning-based susceptibility assessments is crucial to obtain reliable susceptibility results. In this...
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Hydrological drought class early warning using support vector machines and rough sets
Prediction of drought severity class/state can provide useful insight into preparedness actions. In this study, hydrological drought class, as...
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Improving Drought Prediction Accuracy: A Hybrid EEMD and Support Vector Machine Approach with Standardized Precipitation Index
This work combines the Support Vector Machine (SVM) model with Ensemble Empirical Mode Decomposition (EEMD) to present a novel method for drought...
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A Novel Runoff Prediction Model Based on Support Vector Machine and Gate Recurrent unit with Secondary Mode Decomposition
Predicting runoff, one of the fundamental operations in hydrology, is crucial for directing the complete exploitation and use of local water...
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Estimation and predicting of soil water characteristic curve using the support vector machine method
In this paper, we measured, in low suction region, the water-retention curves of undisturbed loess soil samples covering different soil textures and...
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Toward the reliable prediction of reservoir landslide displacement using earthworm optimization algorithm-optimized support vector regression (EOA-SVR)
Reliable prediction of reservoir displacement is essential for practical applications. Machine learning offers an attractive and accessible set of...
