Big Data Machine Learning & AI
Bayesian Optimization
Bayesian “methods” are becoming increasingly more popular for modelling and data analyses. They express things...
Read More...Catch up on our latest publications, conferences, projects, news and more.
You can use the search box or the filters function to narrow down results.
Find a publication
Big Data Machine Learning & AI
Machine Learning – Fluid Mechanics
This post was originally published in two parts which have been combined below. Part 1...
Read More...
Big Data Machine Learning & AI
Mining
Data Science – Predictive Maintenance Scheduling in Mining
Mining equipment maintenance is critical for sustained production. Each piece of equipment performs an important...
Read More...
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...
Read More...
Big Data Machine Learning & AI
Bayesian Parameter Estimation
Often, we want to describe a process using a model. Having collected some data, we...
Read More...
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...
Read More...
Big Data Machine Learning & AI
Kalman Filter
This post was originally published in two parts which have been combined below. Part 1...
Read More...
Mining
Rheology
Rheology for Mining
Rheology, the scientific study of material flow and deformation, plays a pivotal role in the...
Read More...
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...
Read More...
Mathematical Modeling
Directed Acyclic Graphs (DAGs)
Directed acyclic graphs (DAGs) are visual representations used in causal modelling and many other fields....
Read More...
Big Data Machine Learning & AI
Methods for Anomaly Detection
There are many instances where you might want to identify anomalies in data, from quality...
Read More...
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...
Read More...