Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. A real-world dataset ...
Permeability is one of the most critical reservoir characteristics, and its prediction remains a fundamental challenge for both researchers and petroleum engineers. The complexity of predicting ...
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...