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Found 6 papers, 1 papers with code
A LiDAR-Aided Channel Model for Vehicular Intelligent Sensing-Communication Integration
The proposed LA-GBSM is accurately parameterized under high, medium, and low vehicular traffic density (VTD) conditions via a sensing-communication simulation dataset with LiDAR point clouds and scatterer information for the first time.
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models
Counterfactual reasoning is often used in clinical settings to explain decisions or weigh alternatives.
Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines
Currently, some research efforts have been devoted to exploring multi-modal sensing-communication integration but still lack a comprehensive review.
M$^3$SC: A Generic Dataset for Mixed Multi-Modal (MMM) Sensing and Communication Integration
A comprehensive dataset is a prerequisite for 6G integrated sensing-communication research.
DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive Regularizer Learning
The task of grasp pattern recognition aims to derive the applicable grasp types of an object according to the visual information.
Estimating smooth and sparse neural receptive fields with a flexible spline basis
Spatio-temporal receptive field (STRF) models are frequently used to approximate the computation implemented by a sensory neuron.
