Expectiles are a coherent and elicitable alternative to commonly used market risk measures, but practical backtesting tools ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

Abstract: To reasonably allocate the energy of a Hybrid Energy Storage System (HESS) within the Automatic Generation Control (AGC) cycle and enhance the performance of the thermal– storage coordinated ...

A joint research team has reported for the first time that the resistive switching behavior of ion-motion-mediated volatile memristors, which are emerging as promising next-generation semiconductor ...

As e-commerce and logistics complexity grow, brands are turning to AI-driven simulation to forecast demand, test scenarios, ...

Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Manufacturing Technology Project is our Startup of the Month! It developed a platform to reduce errors in metal 3D printing.