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26 papers · 1 filter
Magnetic Nanoparticles in Nanomedicine
Kai Wu, Diqing Su, Jinming Liu +2
Nanomaterials, in addition to their small size, possess unique physicochemical properties that differ from the bulk materials, making them ideal for a host of novel applications. M…
A Unified Adaptive Tensor Approximation Scheme to Accelerate Composite Convex Optimization
Bo Jiang, Tianyi Lin, Shuzhong Zhang
In this paper, we propose a unified two-phase scheme to accelerate any high-order regularized tensor approximation approach on the smooth part of a composite convex optimization mo…
Power Market Price Forecasting via Deep Learning
Yongli Zhu, Songtao Lu, Renchang Dai +2
A study on power market price forecasting by deep learning is presented. As one of the most successful deep learning frameworks, the LSTM (Long short-term memory) neural network is…
Data-driven identification of a thermal network in multi-zone building
Harish Doddi, Saurav Talukdar, Deepjyoti Deka +1
System identification of smart buildings is necessary for their optimal control and application in demand response. The thermal response of a building around an operating point can…
Science with an ngVLA: Radio Observations of Solar Flares
Dale E. Gary, Timothy S. Bastian, Bin Chen +2
Solar flares are due to the catastrophic release of magnetic energy in the Sun's corona, resulting in plasma heating, mass motions, particle acceleration, and radiation emitted fro…
Finite Horizon Backward Reachability Analysis and Control Synthesis for Uncertain Nonlinear Systems
He Yin, Andrew Packard, Murat Arcak +1
We present a method for synthesizing controllers to steer trajectories from an initial set to a target set on a finite time horizon. The proposed control synthesis problem is decom…