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Found 11 papers, 2 papers with code
Multi-user beamforming in RIS-aided communications and experimental validations
To generate the reflection coefficients with the aim of maximizing the spectral efficiency, we propose a quadratic transform-based low-rank multi-user beamforming (QTLM) algorithm.
Dense Voxel 3D Reconstruction Using a Monocular Event Camera
Our preliminary results demonstrate that the proposed method can produce visually distinguishable dense 3D reconstructions directly without requiring pipelines like those used by existing methods.
Prototyping and real-world field trials of RIS-aided wireless communications
In the office and corridor scenarios, the 5. 8 GHz RIS provided a 10-20 dB power gain at the receiver.
RIS with insufficient phase shifting capability: Modeling, beamforming, and experimental validations
The performance gains of the proposed algorithm are confirmed in simulations.
RIS-aided Wireless Communications: Can RIS Beat Metal Plate?
Reconfigurable Intelligent Surface (RIS) has recently been regarded as a paradigm-shifting technology beyond 5G, for its flexibility on smartly adjusting the response to the impinging electromagnetic (EM) waves.
Region-enhanced Deep Graph Convolutional Networks for Rumor Detection
Specifically, a novel region-enhanced deep graph convolutional network (RDGCN) that enhances the propagation features of rumors by learning regionalized propagation patterns and trains to learn the propagation patterns by unsupervised learning is proposed.
Multimodal Dual Emotion with Fusion of Visual Sentiment for Rumor Detection
In recent years, rumors have had a devastating impact on society, making rumor detection a significant challenge.
Leveraging Reaction-aware Substructures for Retrosynthesis Analysis
In this paper, we propose a substructure-level decoding model, where the substructures are reaction-aware and can be automatically extracted with a fully data-driven approach.
Optimal Decision Making in High-Throughput Virtual Screening Pipelines
The need for efficient computational screening of molecular candidates that possess desired properties frequently arises in various scientific and engineering problems, including drug discovery and materials design.
Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow.
3D Virtual Garment Modeling from RGB Images
The predicted landmarks are used for estimating sizing information of the garment.
