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An interpretable evolutionary extreme gradient boosting algorithm for rock slope stability assessment
Globally, slope failures cause severe disasters and substantial financial losses annually. Recent advancements in machine learning (ML) algorithms...
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Multi-plane Slope Stability Analysis Based on Dynamic Evolutionary Optimization
The stability analysis of slope is an important and fundamental problem in geotechnical engineering, which is attracting the attention of many...
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The double-feature extraction method based on slope entropy and symbolic dynamic entropy for the fault diagnosis of rolling bearing
This paper explores the application of slope entropy in fault diagnosis. In order to improve the recognition rate of faults, double-feature...
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Stability evaluation of dump slope using artificial neural network and multiple regression
The present paper focuses on designing an artificial neural network (ANN) model and a multiple regression analysis (MRA) that could be used to...
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A single-valued neutrosophic Gaussian process regression approach for stability prediction of open-pit mine slopes
The accurate prediction of the stability of open-pit mine slopes is usually one of the difficult problems faced by mining engineers and researchers,...
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Slope stability evaluation using neural network optimized by equilibrium optimization and vortex search algorithm
A dependable evaluation of the stability of slopes is a prerequisite in many construction projects. Although machine learning models have been...
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Comparing Stability and Sustainability in Agile Systems
The World Health Organization (WHO) highlights the significant threat that unsustainably long working hours pose to our mental and physical...
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Radome Effects on the Stability of Extended Trajectory Sha** Guidance
Effects of radome refraction error slope of radar seeker on the stability of extended trajectory sha** guidance (ETSG) are discussed in this paper....
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A method to recommend cloud manufacturing service based on the spectral clustering and improved Slope one algorithm
The booming growth of cloud manufacturing services provides users with more choices. However, cloud manufacturing service recommendation remains a...
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Impact of Optical Flow Cues and Slope Gradient on Risk Perception and Balance Ability of Older Adults
In an aging society, falls are an important cause of injury among older adults. This study aimed to investigate the perceived risk characteristics of...
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Assessment of Slope Instability in a Hilly Terrain: A Logistic Regression and Random Forest Based Approach
Landslides are one such spontaneous natural disaster which has the potential to effect human lives as well as economic property in any region. The...
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A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithm
In landslide susceptibility map** or evaluating slope stability, the shear strength parameters of rocks and soils and their effectiveness are...
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Stability of Mixed-Type Cluster Partitions for Determination of the Number of Clusters
For partitioning clustering methods, the number of clusters has to be determined in advance. One approach to deal with this issue are stability...
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Novel strength reduction numerical method to analyse the stability of a fractured rock slope from mesoscale failure
The strength reduction method is a suitable numerical method for analysing the stability of complex rock slopes. However, in the determination of the...
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Genetic algorithm hybridized with multilayer perceptron to have an economical slope stability design
The present work aimed to evaluate and optimize the design of an artificial neural network (ANN) combined with an optimization algorithm of genetic...
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Research on slope reliability analysis using multi-kernel relevance vector machine and advanced first-order second-moment method
To increase the efficiency and accuracy in slope stability analysis, a reliability analysis method based on machine learning and the advanced...
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Stability of accuracy for the training of DNNs via the uniform doubling condition
We study the stability of accuracy during the training of deep neural networks (DNNs). In this context, the training of a DNN is performed via the...
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Structure, Stability, Persistence and Entropy of Stock Networks During Financial Crises
We investigate the network structures of stocks in SET100, NASDAQ100, and FTSE100 from 2006 to 2022, using the correlation distance and the...
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The Identification of Slope Crack Based on Convolutional Neural Network
In the process of construction and operation of mountain roads, slope disasters such as landslide and collapse are often encountered, which seriously...
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Where to Forget: A New Attention Stability Metric for Continual Learning Evaluation
Continual learning aims to accumulate knowledge from data streams of multiple tasks, which may suffer catastrophic forgetting due to the data...