Zobrazeno 1 - 10
of 22 615
pro vyhledávání: '"Chen, Wang"'
Autor:
Chen, Wang, Hu, Mengli, Zong, Junyu, Xie, Xuedong, Ren, Wei, Meng, Qinghao, Yu, Fan, Tian, Qichao, Jin, Shaoen, Qiu, Xiaodong, Wang, Kaili, Wang, Can, Liu, Junwei, Li, Fang-Sen, Wang, Li, Zhang, Yi
The transition metal dichalcogenides (TMDCs) with a 1T' structural phase are predicted to be two-dimensional topological insulators at zero temperature. Although the quantized edge conductance of 1T'-WTe$_2$ has been confirmed to survive up to 100 K,
Externí odkaz:
http://arxiv.org/abs/2409.09698
The property of reversibility is quite meaningful for the classic theoretical computer science model, cellular automata. For the reversibility problem for a CA under null boundary conditions, while linear rules have been studied a lot, the non-linear
Externí odkaz:
http://arxiv.org/abs/2405.03609
On the convergence of conditional gradient method for unbounded multiobjective optimization problems
This paper focuses on developing a conditional gradient algorithm for multiobjective optimization problems with an unbounded feasible region. We employ the concept of recession cone to establish the well-defined nature of the algorithm. The asymptoti
Externí odkaz:
http://arxiv.org/abs/2403.02671
This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expensive in computation and storage, and depend on time-consuming prompt en
Externí odkaz:
http://arxiv.org/abs/2402.15823
This paper addresses an unconstrained multiobjective optimization problem where two or more continuously differentiable functions have to be minimized. We delve into the conjugate gradient methods proposed by Lucambio P\'{e}rez and Prudente (SIAM J O
Externí odkaz:
http://arxiv.org/abs/2312.02461
In this paper, we propose a simple yet efficient strategy for improving the multi-objective steepest descent method proposed by Fliege and Svaiter (Math Methods Oper Res, 2000, 3: 479--494). The core idea behind this strategy involves incorporating a
Externí odkaz:
http://arxiv.org/abs/2311.08109
Despite the promising benefits that ride-sharing offers, there has been a lack of research on the benefits of high-capacity ride-sharing services. Prior research has also overlooked the relationship between traffic volume and the degree of traffic co
Externí odkaz:
http://arxiv.org/abs/2308.10512
Autor:
Yue YU, Chen WANG, Jun SHI, Chongben TAO, Liang LI, Xinxin TANG, Liming ZHOU, Shunjun WEI, Xiaoling ZHANG
Publikováno v:
Leida xuebao, Vol 13, Iss 5, Pp 974-984 (2024)
The success of deep supervised learning in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) relies on a large number of labeled samples. However, label noise often exists in large-scale datasets, which highly influence network traini
Externí odkaz:
https://doaj.org/article/790cc1aee2044d59b52cdce16968cdaa
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 745-752 (2024)
Underwater concrete structure crack detection and structural health condition assessment based on image processing is a challenging task. The complex underwater environment and severe image degradation seriously affect the accuracy of crack detection
Externí odkaz:
https://doaj.org/article/f7895fc2d27346639c218f130334e771
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 621-626 (2024)
For the detection of ferritin, this work engineered an electrochemical immunosensor by functionalizing multi-walled carbon nanotubes (MWCNTs) and integrating them into a screen-printed carbon electrode (SPCE) platform. Under optimal conditions (pH 7.
Externí odkaz:
https://doaj.org/article/7c2a93653be04ad6beb11d61a6cc8730