Zobrazeno 1 - 10
of 1 381
pro vyhledávání: '"An, Jindou"'
Hyperbolic graph convolutional networks (HGCNs) have demonstrated representational capabilities of modeling hierarchical-structured graphs. However, as in general GCNs, over-smoothing may occur as the number of model layers increases, limiting the re
Externí odkaz:
http://arxiv.org/abs/2412.03825
The well-known generalization problem hinders the application of artificial neural networks in continuous-time prediction tasks with varying latent dynamics. In sharp contrast, biological systems can neatly adapt to evolving environments benefiting f
Externí odkaz:
http://arxiv.org/abs/2410.10253
High-precision control for nonlinear systems is impeded by the low-fidelity dynamical model and external disturbance. Especially, the intricate coupling between internal uncertainty and external disturbance is usually difficult to be modeled explicit
Externí odkaz:
http://arxiv.org/abs/2407.13229
Game theory, as an analytical tool, is frequently utilized to analyze human behavior in social science research. With the high alignment between the behavior of Large Language Models (LLMs) and humans, a promising research direction is to employ LLMs
Externí odkaz:
http://arxiv.org/abs/2312.05488
Trajectory tracking control of autonomous vehicles based on event‐triggered model predictive control
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss S1, Pp 2856-2868 (2024)
Abstract This paper presents a lateral control scheme based on event‐triggered model predictive control for trajectory tracking of autonomous vehicles. Firstly, the augmentation system is constructed based on the known road curvature information, a
Externí odkaz:
https://doaj.org/article/abfaaa82bda8431a9e0147296f35d425
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 11, Pp 2097-2113 (2024)
Abstract In order to further improve the accuracy of short‐term traffic flow prediction on designated sections of highways, a combined prediction model is designed in this paper to predict the traffic flow on designated sections of highways. Firstl
Externí odkaz:
https://doaj.org/article/469ccf0847064dc6a5ad43e82db089d3
This paper presents an excitation operator based fault separation architecture for a quadrotor unmanned aerial vehicle (UAV) subject to loss of effectiveness (LoE) faults, actuator aging, and load uncertainty. The actuator fault dynamics is deeply ex
Externí odkaz:
http://arxiv.org/abs/2308.10217
Autor:
Wang, Geng, Iyer, Rishyashring R., Sorrells, Janet E., Aksamitiene, Edita, Chaney, Eric J., Renteria, Carlos A., Park, Jaena, Shi, Jindou, Sun, Yi, Boppart, Stephen A., Tu, Haohua
Quality control in molecular optical sectioning microscopy is indispensable for transforming acquired digital images from qualitative descriptions to quantitative data. Although numerous tools, metrics, and phantoms have been developed, accurate quan
Externí odkaz:
http://arxiv.org/abs/2307.04670
Broad and safe access to ultrafast laser technology has been hindered by the absence of optical fiber-delivered pulses with tunable central wavelength, pulse repetition rate, and pulse width in the picosecond-femtosecond regime. To address this long-
Externí odkaz:
http://arxiv.org/abs/2305.08266
Autor:
Shu Wu, Jindou Chen, Xueli Nie, Yong Wang, Xiancun Zhou, Linlin Lu, Wei Peng, Yao Nie, Waseef Menhaj
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Federated learning is a distributed machine learning paradigm where the goal is to collaboratively train a high quality global model while private training data remains local over distributed clients. However, heterogenous data distribution
Externí odkaz:
https://doaj.org/article/7b0a50966de24ef792be529b6802d567