361 citations · 1.7k across the 58 of their papers we have counts for
58 papers
Predicting extreme events from data using deep machine learning: when and where
Junjie Jiang, Zi-Gang Huang, Celso Grebogi +1
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…
Autocorrelation Invariance Property of Chaos for Wireless Communication
Hui-Ping Yin, Hai-Peng Ren, Celso Grebogi
A new feature of the chaotic signal generated by chaotic shape-forming filter (CSF) is uncovered in this work. We find that, the autocorrelation function (ACF) of the transmitting…
Mathematical model of brain tumour growth with drug resistance
José Trobia, Kun Tian, Antonio Marcos Batista +9
Brain tumours are masses of abnormal cells that can grow in an uncontrolled way in the brain. There are different types of malignant brain tumours. Gliomas are malignant brain tumo…
Machine learning prediction of critical transition and system collapse
Ling-Wei Kong, Hua-Wei Fan, Celso Grebogi +1
To predict a critical transition due to parameter drift without relying on model is an outstanding problem in nonlinear dynamics and applied fields. A closely related problem is to…
Rate-dependent bifurcation dodging in a thermoacoustic system driven by colored noise
Xiaoyu Zhang, Yong Xu, Qi Liu +2
Tipping in multistable systems occurs usually by varying the input slightly, resulting in the output switching to an often unsatisfactory state. This phenomenon is manifested in th…
Effects of drug resistance in the tumour-immune system with chemotherapy treatment
José Trobia, Enrique C Gabrick, Evandro G Seifert +10
Cancer is a term used to refer to a large set of diseases. The cancerous cells grow and divide and, as a result, they form tumours that grow in size. The immune system recognise th…