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Found 17 papers, 1 papers with code
Adaptive Hinge Balance Loss for Document-Level Relation Extraction
In this paper, we propose to downweight the easy negatives by utilizing a distance between the classification threshold and the predicted score of each relation.
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Relation Extraction
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Document-level Relation Extraction
Multi-Label Classification
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Resilient Clock Synchronization Architecture for Industrial Time-Sensitive Networking
Time-Sensitive Networking (TSN) is a promising industrial Internet of Things technology.
Bearing-Based Target Entrapping Control of Multiple Uncertain Agents With Arbitrary Maneuvers
With proper design of the leaders' trajectories and a geometric configuration, an affine matrix is determined so that the persistently exciting conditions of the inter-agent relative bearings can be satisfied since the bearing rates are related to different weighted combinations of the affine matrix vectors.
Hydrogen Supply Infrastructure Network Planning Approach towards Chicken-egg Conundrum
However, there is a strong causality between HFCVs and hydrogen refueling stations (HRSs): the planning decisions of HRSs could affect the hydrogen refueling demand of HFCVs, and the growth of demand would in turn stimulate the further investment in HRSs, which is also known as the ``chicken and egg'' conundrum.
Preserving Topology of Network Systems: Metric, Analysis, and Optimal Design
More importantly, we amend the noise design by introducing one-lag time dependence, achieving the zero state deviation and the non-zero topology inference error in the asymptotic sense simultaneously.
How to Share: Balancing Layer and Chain Sharing in Industrial Microservice Deployment
However, due to the limited resources of edge servers, it is difficult to meet the optimization goals of the two methods at the same time.
Distributionally Robust Day-ahead Scheduling for Power-traffic Network under a Potential Game Framework
In order to ensure the individual optimality of the two networks in a unified framework in day-ahead power scheduling, a two-stage distributionally robust centralized optimization model is established to carry out the equilibrium of power-transportation coupled network.
Opportunistic Wireless Control Over State-Dependent Fading Channels
This paper focuses on the controller design for the MAS to ensure the performance of WCS in the presence of WCS and MAS coupling.
SVR-based Observer Design for Unknown Linear Systems: Complexity and Performance
The variances of the estimation error and the fluctuations in performance are smaller with a properly-designed parameter $\gamma$ compared with the OLS methods.
Safety-Aware Optimal Control for Motion Planning with Low Computing Complexity
Simulations demonstrates that BRSCA has a higher probability of finding feasible solutions, reduces the computation time by about 17. 4% and the energy cost by about four times compared to other methods in the literature.
CANS: Communication Limited Camera Network Self-Configuration for Intelligent Industrial Surveillance
It postpones the completion time and degrades the accuracy of vision detection tasks.
Low-Latency Federated Learning over Wireless Channels with Differential Privacy
Then, we convert the MAMAB to a max-min bipartite matching problem at each communication round, by estimating rewards with the upper confidence bound (UCB) approach.
Distributed Urban Freeway Traffic Optimization Considering Congestion Propagation
Most exiting works develop traffic optimization strategies depending on the local traffic states of congested road segments, where the congestion propagation is neglected.
Topology Inference for Network Systems: Causality Perspective and Non-asymptotic Performance
Along with this line, we analyze the non-asymptotic inference performance of the proposed method by taking the OLS estimator as a reference, covering both asymptotically and marginally stable systems.
Decentralized Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems
In this paper, we investigate the problem of coor? dination between economic dispatch (ED) and demand response (DR) in multi-energy systems (MESs), aiming to improve the economic utility and reduce the waste of energy in MESs.
Joint Optimization of the Deployment and Resource Allocation of UAVs in Vehicular Edge Computing and Networks
With the development of smart vehicles, computing-intensive tasks are widely and rapidly generated.
Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network
Traffic prediction is a fundamental and vital task in Intelligence Transportation System (ITS), but it is very challenging to get high accuracy while containing low computational complexity due to the spatiotemporal characteristics of traffic flow, especially under the metropolitan circumstances.
