In this paper, we propose a new method for CT pathological image analysis of brain and chest to extract image features and classify images. Because the deep neural network needs a large number of ...

Anomalies could be the threats to the network that have ever/never happened. To protect networks against malicious access is always challenging even though it has been studied for a long time. Due to ...

Optimal Transport Networks in Spatial Equilibrium - MATLAB Toolbox MATLAB toolbox implementing the quantitative spatial economic model of: Fajgelbaum, P. D., & Schaal, E. (2020). Optimal transport ...

Currently in the test phase, researchers will now be tasked with figuring out how a machine learning tool as such can be implemented in real-time clinical practice.

SchNetPack is a toolbox for the development and application of deep neural networks to the prediction of potential energy surfaces and other quantum-chemical properties of molecules and materials. It ...