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Abstract: A data-efficient artificial neural network based 3D VLP system using Gaussian process regression is proposed and experimentally demonstrated.
Abstract. A data-efficient artificial neural network based 3D VLP system using Gaussian process regression is proposed and experimentally demonstrated.
A data-efficient artificial neural network based 3D VLP system using Gaussian process regression is proposed and experimentally demonstrated.
Data-Efficient Artificial Neural Networks with Gaussian. Process Regression for 3D Visible Light Positioning. Weikang Zeng1, Huayang Chen1, Jiajia Chen1,2 ...
Jan 19, 2024 · Data-Efficient Artificial Neural Networks with Gaussian Process Regression for 3D Visible Light Positioning. Conference Paper. Jan 2021.
[7] H. Zhang et al., “High-precision indoor visible light positioning using deep neural network based on the Bayesian regularization with sparse training point ...
May 19, 2017 · Hi folks, I've coded up a model for doing a Gaussian Process regression where you have some numeric variable X whose influence on Y you want ...
Weikang Zeng, Huayang Chen, Jiajia Chen, Xuezhi Hong: Data-Efficient Artificial Neural Networks with Gaussian Process Regression for 3D Visible Light ...
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We propose and present the first demonstration of a 3-D visible-light-positioning (VLP) utilizing Two-Stage-Neural-Network (TSNN) and Signal-Strength- ...
Oct 15, 2021 · We present a method to accurately predict the Helmholtz harmonic free energies of molecular crystals in high-throughput settings.