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pro vyhledávání: '"Zhang, Yunfeng"'
Autor:
Zhang, Yunfeng
To investigate concentration of Laplacian eigenfunctions on a compact manifold as the eigenvalue grows to infinity, an important route is to bound their restriction to submanifolds. In this paper we take the route in the setting of a compact Lie grou
Externí odkaz:
http://arxiv.org/abs/2402.03178
Monitoring propeller failures is vital to maintain the safe and reliable operation of quadrotor UAVs. The simulation-to-reality UAV fault diagnosis technique offer a secure and economical approach to identify faults in propellers. However, classifier
Externí odkaz:
http://arxiv.org/abs/2309.11897
Identifying the fault in propellers is important to keep quadrotors operating safely and efficiently. The simulation-to-reality (sim-to-real) UAV fault diagnosis methods provide a cost-effective and safe approach to detecting propeller faults. Howeve
Externí odkaz:
http://arxiv.org/abs/2302.08117
Accurate diagnosis of propeller faults is crucial for ensuring the safe and efficient operation of quadrotors. Training a fault classifier using simulated data and deploying it on a real quadrotor is a cost-effective and safe approach. However, the s
Externí odkaz:
http://arxiv.org/abs/2302.04410
Autor:
Zhang, Yunfeng
Publikováno v:
Nonlinear Analysis 199 (2020), 112052
We prove Strichartz estimates for the Schr\"odinger equation which are scale-invariant up to an $\varepsilon$-loss on products of odd-dimensional spheres. Namely, for any product of odd-dimensional spheres $M=\mathbb{S}^{d_1}\times\cdots\times\mathbb
Externí odkaz:
http://arxiv.org/abs/2301.02823
Denote by $SL_n(\mathbb R)$ the group of $n\times n$ real matrices with determinant one, $A$ the subgroup consisting of the diagonal matrices with positive entries, and $SL_n(\mathbb R)/A$ the manifold of left cosets $gA$, $g\in SL_n(\mathbb R)$. In
Externí odkaz:
http://arxiv.org/abs/2301.00529
Canonical correlation analysis (CCA) is a standard tool for studying associations between two data sources; however, it is not designed for data with count or proportion measurement types. In addition, while CCA uncovers common signals, it does not e
Externí odkaz:
http://arxiv.org/abs/2208.00048
Recent years have seen a surge of interest in the field of explainable AI (XAI), with a plethora of algorithms proposed in the literature. However, a lack of consensus on how to evaluate XAI hinders the advancement of the field. We highlight that XAI
Externí odkaz:
http://arxiv.org/abs/2206.10847
Publikováno v:
2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22), June 21--24, 2022, Seoul, Republic of Korea
When a model's performance differs across socially or culturally relevant groups--like race, gender, or the intersections of many such groups--it is often called "biased." While much of the work in algorithmic fairness over the last several years has
Externí odkaz:
http://arxiv.org/abs/2205.05770
Autor:
Chihiro Hosoda, Zhang YunFeng, Junji Watanabe, Kazushi Maruya, Rokuro Tabuchi, Kenchi Hosokawa, Takuto Matsuhashi
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionElucidating the enduring effects of childhood social capital is vital for shaping future well-being. Here, we investigate the impact of childhood social capital (SC) and parental engagement on adult psychological well-being and cognitive
Externí odkaz:
https://doaj.org/article/d98057843cc94d57a510d622332e3e58