Zobrazeno 1 - 10
of 260
pro vyhledávání: '"Guofa Li"'
Publikováno v:
Shiyou shiyan dizhi, Vol 46, Iss 1, Pp 64-74 (2024)
The sedimentary tuff in the second member of Permian Wujiaping Formation in the northern Fuling area of Chongqing is a new type of organic-rich source rock, which is a new field of unconventional gas reservoir exploration. Clarifying the distribution
Externí odkaz:
https://doaj.org/article/7407632bf871484e92c5f2995a1b01b2
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 12, Pp 1669-1681 (2022)
Abstract Intersections have been identified as the most complex and accident‐prone traffic scenarios on road. Making appropriate decisions at intersections for driving safety, efficiency, and comfort become a challenging task for autonomous vehicle
Externí odkaz:
https://doaj.org/article/f08c3b4b1b4449e494123bd7419122e9
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 12980 (2023)
High-resolution seismic processing involves the recovery of high-frequency components from seismic data with lower resolution. Traditional methods typically impose prior knowledge or predefined subsurface structures when modeling seismic high-resolut
Externí odkaz:
https://doaj.org/article/92b1735dccd14336bfba09c555323ed5
Autor:
Wenbo Li, Ruichen Tan, Yang Xing, Guofa Li, Shen Li, Guanzhong Zeng, Peizhi Wang, Bingbing Zhang, Xinyu Su, Dawei Pi, Gang Guo, Dongpu Cao
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-20 (2022)
Measurement(s) electroencephalogram measurement • driving behaviour measurement • face expression, body gesture and road scenario measurement • emotion and persionality Technology Type(s) electroencephalography (EEG) • driving simulator • v
Externí odkaz:
https://doaj.org/article/c99cc6e19f5f426083304c68aa9e4610
Autor:
Guofa Li
Publikováno v:
Boundary Value Problems, Vol 2022, Iss 1, Pp 1-17 (2022)
Abstract In this paper, by using a change of variable and the mountain-pass theorem, we show that the following quasilinear Schrödinger systems { − △ u + V 1 ( x ) u + κ 2 [ △ | u | 2 ] u = λ f ( x , u , v ) , x ∈ R N , − △ v + V 2 ( x
Externí odkaz:
https://doaj.org/article/5509369b2c6f4f85a2573bdfc7faf0cf
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
In this paper, we consider the non-existence and existence of solutions for a generalized quasilinear Schrödinger equation with a Kirchhoff-type perturbation. When the non-linearity h(u) shows critical or supercritical growth at infinity, the non-ex
Externí odkaz:
https://doaj.org/article/7d64761238d041249b5cf73bf3d1ea60
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 34, Iss 1, Pp 1-11 (2021)
Abstract To reduce the discrepancy between the source and target domains, a new multi-label adaptation network (ML-ANet) based on multiple kernel variants with maximum mean discrepancies is proposed in this paper. The hidden representations of the ta
Externí odkaz:
https://doaj.org/article/12cc745050c94342b21124b674f83197
Publikováno v:
Electronic Journal of Differential Equations, Vol 2020, Iss 56,, Pp 1-17 (2020)
In this article, we study the quasilinear Schrodinger equation $$ -\Delta u+V(x)u-\frac{\kappa}{2}[\Delta(1+u^2)^{1/2}]\frac{u}{(1+u^2)^{1/2}} =h(u),\quad x\in\mathbb{R}^N, $$ where $N\geq3$, $\kappa>0$ is a parameter, $V: \mathbb{R}^N\to\mathbb
Externí odkaz:
https://doaj.org/article/776cf8ec10d144fc834cc152fd8d9b6c
Publikováno v:
IEEE Access, Vol 8, Pp 43476-43481 (2020)
Intersections are the key joint points on arterials in urban transportation networks. Congestions at intersection areas significantly degrade human travel efficiency. Therefore, analyzing congestion and exploring congestion detection technologies to
Externí odkaz:
https://doaj.org/article/fb44d72076544fbcaa7c31de70fec621
Publikováno v:
IEEE Access, Vol 8, Pp 211164-211172 (2020)
Effectively detecting road objects in various environments would significantly improve driving safety for autonomous vehicles. However, small objects, low illumination, and blurred outline in images strongly limit the performance of current road obje
Externí odkaz:
https://doaj.org/article/a75b55dcf2be4c97927442a279e6ab61