Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before.
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Manchester team builds ML models for stable molecular simulations at high heat
Researchers at The University of Manchester have built a machine-learning model that prevents simulated molecules from flying ...
The bipedal wheel-legged robot combines the high energy efficiency of wheeled movement with the terrain adaptability of legged locomotion. However, achieving a smooth transition between these two ...
Gaussian Process-Based Learning Model Predictive Control With Application to Flywheel Battery System
Abstract: The flywheel battery system is extremely sensitive to its own time-varying nonlinear characteristics and random disturbances in actual operating conditions. The traditional model predictive ...
Gov. Ron DeSantis has released a $117 billion budget proposal. Here's what Floridians need to know about what comes next. Gov. Ron DeSantis has released a $117 billion budget proposal. It's around $2 ...
Abstract: Robot interaction control with variable impedance parameters may conform to task requirements during continuous interaction with dynamic environments. Iterative learning (IL) is effective to ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
Spatiotemporal Gaussian process modeling for environmental data: non-stationary PDE prior, deep kernels, multi-fidelity fusion, and A-optimal sampling.非稳态 PDE ...
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