Search Results for author:
Found 3 papers, 1 papers with code
Enhancing Demand Prediction in Open Systems by Cartogram-aided Deep Learning
In this study, we propose a deep learning framework to predict rental and return patterns by leveraging cartogram approaches.
Invasion and Interaction Determine Population Composition in an Open Evolving System
It is well-known that interactions between species determine the population composition in an ecosystem.
Power-grid stability predictions using transferable machine learning
We test three different machine learning algorithms -- random forest, support vector machine, and artificial neural network -- training them with two different types of synthetic power grids consisting of homogeneous and heterogeneous input-power distribution, respectively.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
