Zobrazeno 1 - 10
of 148
pro vyhledávání: '"ShuaiJun Wang"'
Autor:
Yixuan Wang, Yang Liu, Lingling Wang, Silambarasan Perumal, Hongdan Wang, Hyun Ko, Chung-Li Dong, Panpan Zhang, Shuaijun Wang, Ta Thi Thuy Nga, Young Dok Kim, Yujing Ji, Shufang Zhao, Ji-Hee Kim, Dong-Yub Yee, Yosep Hwang, Jinqiang Zhang, Min Gyu Kim, Hyoyoung Lee
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Currently, conventional dimethoxymethane synthesis methods are environmentally unfriendly. Here, we report a photo-redox catalysis system to generate dimethoxymethane using a silver and tungsten co-modified blue titanium dioxide catalyst (Ag
Externí odkaz:
https://doaj.org/article/551a4cc3184b44fb8040815f5bb9e7b2
Autor:
Jiajia Song, Shuaijun Wang, Yonghong Duan, Xiuwei Ye, Zuoyong Lv, Liang Wang, Baofeng Liu, Xianghui Song, Guoliang Cheng, Mingming Ruan
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
This study presents an interpretation of a deep seismic sounding (DSS) profile that carried out along the Cathaysia Block in southeast china, aiming to explore the crustal velocity structure. Data used in the survey were obtained from three controlle
Externí odkaz:
https://doaj.org/article/292b82bc659b46d9aa99a5ca00bb594b
Autor:
Huaizhou Li, Shupei Wen, Sen Li, Hong Wang, Xin Geng, Shuaijun Wang, Jinlong Zhai, Wenhua Zhang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Infrared thermal imaging camera as a non-contact monitoring of the object to be measured is widely used in fire detection, driving assistance and so on. Although there are many related studies, there is a lack of research on the influence of
Externí odkaz:
https://doaj.org/article/3972890edc7e4024aa0c4cc0f88686f1
Publikováno v:
Fire, Vol 7, Iss 6, p 192 (2024)
Obtaining thermal infrared images with prominent details, high contrast, and minimal background noise has always been a focal point of infrared technology research. To address issues such as the blurriness of details and low contrast in thermal infra
Externí odkaz:
https://doaj.org/article/a990db566f6649fc9f3e999395059232
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
In this paper, we propose a deep reinforcement learning-based framework that enables adaptive and continuous control of a robot to push unseen objects from random positions to the target position. Our approach takes into account contact information i
Externí odkaz:
https://doaj.org/article/4904c863292e470783bd205a54def1b2
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
The basin effects alter the frequency content, amplitude and duration of seismic waves with different depth and shape basin. In this paper, we selected 2-D geophysical profiles spanning the Weihe Basin with large area and the Luoquanli Basin with sma
Externí odkaz:
https://doaj.org/article/e3cfe921a2f943ee946a53710d7f9460
Publikováno v:
Sensors, Vol 23, Iss 17, p 7372 (2023)
Thermal infrared imaging is less affected by lighting conditions and smoke compared to visible light imaging. However, thermal infrared images often have lower resolution and lack rich texture details, making them unsuitable for stereo matching and 3
Externí odkaz:
https://doaj.org/article/4fc67f998a684b0db3d467e5017f0dc6
Autor:
Shuaijun Wang, Maximilian Meixner, Lushuang Yu, Ling Zhuo, Lisa Karmann, Uli Kazmaier, Angelika M. Vollmar, Iris Antes, Stefan Zahler
Publikováno v:
ACS Omega, Vol 6, Iss 34, Pp 22165-22172 (2021)
Externí odkaz:
https://doaj.org/article/1071bdb5fd344309a744b618707f6820
Publikováno v:
Nanomaterials, Vol 13, Iss 3, p 499 (2023)
Photocatalysis plays a vital role in sustainable energy conversion and environmental remediation because of its economic, eco-friendly, and effective characteristics. Nitrogen-rich graphitic carbon nitride (g-C3N5) has received worldwide interest owi
Externí odkaz:
https://doaj.org/article/e7beed0573c849dd930902f71ef07383
Publikováno v:
Geodesy and Geodynamics, Vol 9, Iss 4, Pp 320-327 (2018)
As a relatively new method of processing non-stationary signal with high time-frequency resolution, S transform can be used to analyze the time-frequency characteristics of seismic signals. It has the following characteristics: its time-frequency res
Externí odkaz:
https://doaj.org/article/097d2a2db0f14d5c91d4a7764cd715e6