As software for avionics, cyber-physical, and autonomous systems becomes increasingly complex, the cost to assure these and other mission- and safety-critical systems is growing. Software attributes ...

This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

22/08/2023 - New full distribution files available for release v1.6.1; Changes for v1.6.1 include: Minor updates to supporting use in Python, including virtual environments; Minor tweaks to fish ...

Learn basic MATLAB: Variables, scripts, functions, plotting, basic math, logical operations. Introduction to Simulink: Understanding blocks, signals, parameters ...

The software inside vehicles today is more complex than ever. With modern cars running 100+ million lines of code, the push toward electric, autonomous, and connected vehicles demands faster, safer, ...

This study aims to explore the temporal dynamics of brain networks involved in self-generated affective states, specifically focusing on modulating these states in both positive and negative valences.

The number of scientific publications reporting cutting-edge third-generation photovoltaic devices is increasing rapidly, owing to the pressing need to develop renewable-energy technologies that ...

In any field of materials discovery, the ability to auto-generate materials property databases in a domain independent manner would be highly beneficial. It would enable researchers to quickly and ...

Many modern neural simulators focus on the simulation of networks of spiking neurons on parallel hardware. Another important framework in computational neuroscience, rate-coded neural networks, is ...