Abstract: Hard-to-model, often nonlinear dynamics limit the tracking performance of physical-model-based feedforward control in medical interventional X-ray (IX) systems. In this article, these ...
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China ...
WASHINGTON, Oct 15 (Reuters) - U.S. government officials said on Wednesday that federal networks are being targeted by an unidentified "nation-state cyber threat actor" that's trying to exploit ...
This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...
Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Abstract: This paper proposes a day-ahead joint chance-constrained optimal scheduling method for distribution networks using a partial input convex neural network (PICNN). The PICNN serves as a ...
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