Search Results - "Aldrich, Chris"

Process Variable Importance Analysis by Use of Random Forests in a Shapley Regression Framework by Chris Aldrich

“…Linear regression is often used as a diagnostic tool to understand the relative contributions of operational variables to some key performance indicator or…”
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Interpretation of nonlinear relationships between process variables by use of random forests by Auret, Lidia, Aldrich, Chris

“…Variable importance measures derived from a random forest model of the throughput of a calcium carbide furnace depending on nine process variables. The dummy…”
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Monitoring of Mineral Processing Operations with Isolation Forests by Chris Aldrich, Xiu Liu

“…Reliable monitoring of mineral process systems is key to more efficient plant operation. Multivariate statistical process control based on principal component…”
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Deep Learning Approaches to Image Texture Analysis in Material Processing by Liu, Xiu, Aldrich, Chris

“…Texture analysis is key to better understanding of the relationships between the microstructures of the materials and their properties, as well as the use of…”
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Assessing the Influence of Operational Variables on Process Performance in Metallurgical Plants by Use of Shapley Value Regression by Liu, Xiu, Aldrich, Chris

“…Shapley value regression with machine learning models has recently emerged as an axiomatic approach to the development of diagnostic models. However, when…”
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Empirical comparison of tree ensemble variable importance measures by Auret, Lidia, Aldrich, Chris

“…Tree ensembles are becoming well-established as popular and powerful data modelling techniques. Tree ensemble models are essentially black box models, although…”
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Monitoring of Flotation Systems by Use of Multivariate Froth Image Analysis by Chris Aldrich, Xiu Liu

“…Froth image analysis has been considered widely in the identification of operational regimes in flotation circuits, the characterisation of froths in terms of…”
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Use of Decision Trees for the Development of Decision Support Systems for the Control of Grinding Circuits by Jacques Olivier, Chris Aldrich

“…Grinding circuits can exhibit strong nonlinear behaviour, which may make automatic supervisory control difficult and, as a result, operators still play an…”
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Recent Advances in Resting-State Electroencephalography Biomarkers for Autism Spectrum Disorder—A Review of Methodological and Clinical Challenges by Heunis, Tosca-Marie, PhD, Aldrich, Chris, DEng, PhD, de Vries, Petrus J., MBChB, MRCPsych, PhD

“…Abstract Background Electroencephalography (EEG) has been used for almost a century to identify seizure-related disorders in humans, typically through expert…”
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Dynamic Monitoring of Grinding Circuits by Use of Global Recurrence Plots and Convolutional Neural Networks by Jacques Olivier, Chris Aldrich

“…Reliable control of grinding circuits is critical to more efficient operation of concentrator plants. In many cases, operators still play a key role in the…”
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An Online Monitoring Approach of Carbon Steel Corrosion via the Use of Electrochemical Noise and Wavelet Analysis by Abdulmutaali, Ahmed, Hou, Yang, Aldrich, Chris, Lepkova, Katerina

“…In this study, carbon steel was examined under different corrosive conditions using electrochemical noise (EN) as the primary method of investigation. The…”
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A Review of Orebody Knowledge Enhancement Using Machine Learning on Open-Pit Mine Measure-While-Drilling Data by Goldstein, Daniel M., Aldrich, Chris, O’Connor, Louisa

“…Measure while drilling (MWD) refers to the acquisition of real-time data associated with the drilling process, including information related to the geological…”
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Froth image analysis by use of transfer learning and convolutional neural networks by Fu, Yihao, Aldrich, Chris

“…•Five algorithms were used to extract features from froth images.•Once of these made use of a deep neural network, known as AlexNet.•AlexNet was pretrained on…”
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Explaining anomalies in coal proximity and coal processing data with Shapley and tree-based models by Liu, Xiu, Aldrich, Chris

“…[Display omitted] •Isolation forests (IFs) are used to detect outliers in coal characterisation and processing data.•IFs detect outliers that were not visible…”
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Consumption of steel grinding media in mills – A review by Aldrich, Chris

“…•Consumption of grinding media in mills is an economically important problem.•Current understanding of factors influencing wear loss of steel balls in mills is…”
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Froth image based monitoring of platinum group metals flotation with vision transformers and convolutional neural networks by Liu, Xiu, Aldrich, Chris

“…•Features from flotation froth images were extracted by use of six different algorithms.•Pretrained deep learning algorithms for feature extraction were…”
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Multivariate image processing in minerals engineering with vision transformers by Liu, Xiu, Aldrich, Chris

“…•Recognition of fines in coal feed and particle sizes in hydrocyclone underflows was studied.•Two vision transformers (ViT-B16 and ViT-B32), and two…”
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Online particle size analysis on conveyor belts with dense convolutional neural networks by Fu, Yihao, Aldrich, Chris

“…•Online analysis of particulate feed in mineral processing is not well established.•Segmentation of images of densely packed particles is a challenging…”
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Recognition of flotation froth conditions with k-shot learning and convolutional neural networks by Liu, Xiu, Aldrich, Chris

“…In this study, previous work on k-shot learning in flotation froth image analysis using small sets of froth images, is extended. As before, image synthesis is…”
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Recent advances in flotation froth image analysis by Aldrich, Chris, Avelar, Erica, Liu, Xiu

“…[Display omitted] •Recent advances and future challenges and trends in flotation froth image analysis based on deep learning are reviewed.•Most advances are…”
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