Mining
Non-Newtonian Flows
Non-Newtonian Fluids in Mining
Non-Newtonian fluids, unlike their more predictable Newtonian counterparts, exhibit behaviours that vary with shear rate...
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Big Data Machine Learning & AI
Bayesian Parameter Estimation
Often, we want to describe a process using a model. Having collected some data, we...
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Big Data Machine Learning & AI
Enhancing Oil Processing Efficiency with Kalman Filter-based Middlings Interface Detection
The separation process in the oil sands industry involves extracting bitumen from ore that is...
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Big Data Machine Learning & AI
Kalman Filter
This post was originally published in two parts which have been combined below. Part 1...
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Mining
Rheology
Rheology for Mining
Rheology, the scientific study of material flow and deformation, plays a pivotal role in the...
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Big Data Machine Learning & AI
Building Anomaly Detection using XGBoost
As the demand for sustainable building practices continues to rise, understanding and managing energy consumption...
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Mathematical Modeling
Directed Acyclic Graphs (DAGs)
Directed acyclic graphs (DAGs) are visual representations used in causal modelling and many other fields....
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Big Data Machine Learning & AI
Methods for Anomaly Detection
There are many instances where you might want to identify anomalies in data, from quality...
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Physical Modeling
Tailings
Fluid Fine Tailings (FFT) Withdrawal Modeling
Coanda’s leader, Clara Gomez recently presented a study on the Modeling of Fluid Fine Tailings...
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Big Data Machine Learning & AI
Leak Detection Analysis
Detecting leaks in pipes is crucial for damage prevention and resource conservation. Traditional leak detection...
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Big Data Machine Learning & AI
No Free Lunch Theorem
The “No Free Lunch Theorem” is often referenced in the context of Machine Learning (ML)...
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Big Data Machine Learning & AI
Trees vs. Neural Network
Tree-based algorithms or neural networks for time series data Neural networks and tree-based models are...
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