A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems” was published by researchers at University of Wisconsin ...
This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...
This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...
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 ...
ncnn-benchmark is a project to test the reasoning performance of neural network using ncnn framework, which includes many common target detection models and tests their reasoning time and accuracy ...
Abstract: To drive the gyroscope into a command vibration mode, and to simultaneously estimate the angular velocity, this paper proposes an improved fully adjusted neural network-based adaptive ...
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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