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Found 11 papers, 2 papers with code
RIS-Enabled Integrated Sensing and Communication for 6G Systems
Therefore, this work proposes a localization algorithm tailored for the integrated sensing and communications RIS-aided architecture, which is capable of uniquely positioning targets within the scene.
Synchrophasor Data Anomaly Detection on Grid Edge by 5G Communication and Adjacent Compute
The fifth-generation mobile communication (5G) technology offers opportunities to enhance the real-time monitoring of grids.
A 5G Enabled Adaptive Computing Workflow for Greener Power Grid
5G wireless technology can deliver higher data speeds, ultra low latency, more reliability, massive network capacity, increased availability, and a more uniform user experience to users.
CCMB: A Large-scale Chinese Cross-modal Benchmark
In this work, we build a large-scale high-quality Chinese Cross-Modal Benchmark named CCMB for the research community, which contains the currently largest public pre-training dataset Zero and five human-annotated fine-tuning datasets for downstream tasks.
Ranked #3 on
Image Retrieval
on Flickr30k-CN
Efficient Cluster-Based k-Nearest-Neighbor Machine Translation
k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently proposed as a non-parametric solution for domain adaptation in neural machine translation (NMT).
Efficient Topology Assessment for Integrated Transmission and Distribution Network with 10,000+ Inverter-based Resources
The renewable energy proliferation calls upon the grid operators and planners to systematically evaluate the potential impacts of distributed energy resources (DERs).
Harmonic Modeling, Data Generation, and Analysis of Power Electronics-Interfaced Residential Loads
Integration of electronics-based residential appliances and distributed energy resources in homes is expected to rise with grid decarbonization.
Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding
In this paper, we propose an object-level visual context modeling framework (OVC) to efficiently capture and explore visual information for multimodal machine translation.
SGDN: Segmentation-Based Grasp Detection Network For Unsymmetrical Three-Finger Gripper
In this paper, we present Segmentation-Based Grasp Detection Network (SGDN) to predict a feasible robotic grasping for a unsymmetrical three-finger robotic gripper using RGB images.
Robotics
Research on dynamic target detection and tracking system of hexapod robot
In order to explore its application value in the field of mobile robot, a dynamic target detection and tracking system is designed based on hexapod robot.
