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Found 4 papers, 0 papers with code
Gas Source Localization Using physics Guided Neural Networks
The proposed approach uses a Physics-Guided Neural Network to approximate the gas dispersion with the source location as an additional network input.
Reciprocal Visibility
Inspired by Helmholtz reciprocity, we introduce reciprocal visibility to determine the dual situation - the visibility of potential sampling position in the air from given points of interest on the ground.
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring
A Deep convolutional policy is proposed, that bases the decisions on the observation on the mean and variance of this model, by means of an information gain reward.
Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models
Motivated by the relative scarcity of formal tools for SBL in complex-valued models, this paper proposes a GSM model - the Bessel K model - that induces concave penalty functions for the estimation of complex sparse signals.
