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Found 4 papers, 0 papers with code
Predicting extreme events from data using deep machine learning: when and where
We develop a deep convolutional neural network (DCNN) based framework for model-free prediction of the occurrence of extreme events both in time ("when") and in space ("where") in nonlinear physical systems of spatial dimension two.
Mathematical model of brain tumour growth with drug resistance
Brain tumours are masses of abnormal cells that can grow in an uncontrolled way in the brain.
Machine learning prediction of critical transition and system collapse
Remarkably, for a parameter drift through the critical point, the machine with the input parameter channel is able to predict not only that the system will be in a transient state, but also the average transient time before the final collapse.
Effects of drug resistance in the tumour-immune system with chemotherapy treatment
The immune system is composed of resting cells that are converted to hunting cells to combat the cancer.
