This thesis project introduces a clustering method using the heat and wave equations along with eigenvalues and eigenvectors. This approach is capable of clustering graphs into two partitions with a ...
Abstract: Deep learning is one of the most widely used modeling approach for spatio-temporal prediction. Traditional deep learning models get discrete features or hidden states from discrete data.
Abstract: The prediction of multivariate time series (MTS) has increasingly captured substantial interest in practical domains such as chemical process flow and data analysis, which representing a ...
This is the repository of our accepted AAAI 2022 paper "Graph Neural Controlled Differential Equations for Traffic Forecasting". Paper is available on arxiv. @inproceedings{choi2022STGNCDE, ...
Optimal control theory for differential equations is a pivotal discipline that combines rigorous mathematical analysis with practical applications in engineering, economics, and the natural sciences.
The immune ability of the elderly is not strong, and the functions of the body are in a stage of degeneration, the ability to clear PM2.5 is reduced, and the cardiopulmonary system is easily affected.
We have often heard remarks such as “We can plot graphs from the mathematical equations”, including equations of lines, equations of curves, and equations of invisible and visible objects. Actually, ...
1 Department of Business Administration, Julius Nyéréré University, Kankan, Guinea. 2 Department of Mathematics, Julius Nyéré University, Kankan, Guinea. Its law of evolution. A system can be in ...
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