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On the use of machine learning for damage assessment in composite structures: a review
Composite materials are those formed by combining two or more different materials to take
advantage of the best characteristics of each one. However, due to this heterogeneity …
advantage of the best characteristics of each one. However, due to this heterogeneity …
Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations
The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …
type mining method, which directly affects whether workers can be provided with a safe and …
Review of rock-mass rating and tunneling quality index systems for tunnel design: Development, refinement, application and limitation
Although rock-mass rating (RMR) and tunneling quality index (Q) systems are used in
different rock engineering projects as empirical design tools, their application in tunnel …
different rock engineering projects as empirical design tools, their application in tunnel …
Sentiment analysis of twitter data related to Rinca Island development using Doc2Vec and SVM and logistic regression as classifier
Abstract Development on Rinca Island by the Indonesian Government has received a lot of
reaction from the community. Masses expressed their opinion through social media …
reaction from the community. Masses expressed their opinion through social media …
[HTML][HTML] Machine learning models for prediction and classification of tool wear in sustainable milling of additively manufactured 316 stainless steel
Abstract Machine learning (ML) is a subfield of Artificial Intelligence (AI) that uses data,
learns the hidden pattern from the data, and makes predictions for future instances with …
learns the hidden pattern from the data, and makes predictions for future instances with …
[HTML][HTML] Application of machine learning in epileptic seizure detection
Epileptic seizure is a neurological condition caused by short and unexpectedly occurring
electrical disruptions in the brain. It is estimated that roughly 60 million individuals worldwide …
electrical disruptions in the brain. It is estimated that roughly 60 million individuals worldwide …
Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models
Unless adequate measures are taken for waste litter, the ecological balance may deteriorate
over time. The wastes disposed of the trash can be divided into two classes that are organic …
over time. The wastes disposed of the trash can be divided into two classes that are organic …
[HTML][HTML] Stability prediction of underground entry-type excavations based on particle swarm optimization and gradient boosting decision tree
The stability of underground entry-type excavations will directly affect the working
environment and the safety of staff. Empirical critical span graphs and traditional statistics …
environment and the safety of staff. Empirical critical span graphs and traditional statistics …
[HTML][HTML] An enhanced stability evaluation system for entry-type excavations: Utilizing a hybrid bagging-SVM model, GP and kriging techniques
S Huang, J Zhou - Journal of Rock Mechanics and Geotechnical …, 2024 - Elsevier
In underground mining, especially in entry-type excavations, the instability of surrounding
rock structures can lead to incalculable losses. As a crucial tool for stability analysis in entry …
rock structures can lead to incalculable losses. As a crucial tool for stability analysis in entry …
Phase prediction in high entropy alloys by various machine learning modules using thermodynamic and configurational parameters
The purpose of this investigation is to predict the different phases present in various high
entropy alloys and subsequently classify their crystal structure by various machine learning …
entropy alloys and subsequently classify their crystal structure by various machine learning …