Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mengxia Tang"'
Autor:
Mengxia Tang, Qiang Ren, Mingcai Hou, Zhilin Li, Wen Du, Anqing Chen, Hanting Zhong, Jicheng Wang, Peng Ti
Publikováno v:
Geosystems and Geoenvironment, Vol 3, Iss 2, Pp 100127- (2024)
Paleogeographic reconstruction studies the evolution of the earth's surface tectonic process, the pattern of land and sea, climate, and biology in time and space in geological history. With the advent of the big data era, the accuracy of the digital
Externí odkaz:
https://doaj.org/article/43360cd260944e4b871e74a93c966865
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9924 (2023)
The semantic segmentation of outdoor images is the cornerstone of scene understanding and plays a crucial role in the autonomous navigation of robots. Although RGB–D images can provide additional depth information for improving the performance of s
Externí odkaz:
https://doaj.org/article/bdcbaaf33e514fec94f0b6c45fefa415
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Acorn remains are reported from prehistoric sites across the world. Acorn is argued to have been an important food resource for human beings in prehistory. However, relevant research is still limited and it is often difficult to recognize archaeologi
Externí odkaz:
https://doaj.org/article/e0f7c239ee4a4878a0075eb0cc36042c
Publikováno v:
IEEE Access, Vol 9, Pp 22640-22650 (2021)
We address the problem of depth estimation from a single monocular image in the paper. Depth estimation from a single image is an ill-posed and inherently ambiguous problem. In the paper, we propose an encoder-decoder structure with the feature pyram
Externí odkaz:
https://doaj.org/article/1e8106baf5c946328a4fb1f0d3794bd4
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2906 (2022)
Monocular depth estimation is a fundamental yet challenging task in computer vision as depth information will be lost when 3D scenes are mapped to 2D images. Although deep learning-based methods have led to considerable improvements for this task in
Externí odkaz:
https://doaj.org/article/68ac5193e6d84aad87b4780efd5f2668
Autor:
Junming Xu, Mengxia Tang, Zhengming Hu, Xiaoping Hu, Tao Zhou, Kaixin Song, Jun Wu, Jipeng Cheng
Publikováno v:
Nanomaterials, Vol 11, Iss 7, p 1662 (2021)
For conventional synthesis of Ni(OH)2/graphene hybrids, oxygen-containing functional groups should be firstly introduced on graphene to serve as active sites for the anchoring of Ni(OH)2. In this work, a method for growing Ni(OH)2 nanosheets on multi
Externí odkaz:
https://doaj.org/article/025c336869b74391891629211ee0e9d7
Publikováno v:
Sensors, Vol 19, Iss 3, p 667 (2019)
Predicting depth from a monocular image is an ill-posed and inherently ambiguous issue in computer vision. In this paper, we propose a pyramidal third-streamed network (PTSN) that recovers the depth information using a single given RGB image. PTSN us
Externí odkaz:
https://doaj.org/article/3cfa26a65d6441db90ce508b8b3a295b
Publikováno v:
Geomicrobiology Journal. 40:203-212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b0847fd15ac14cb5ad5dffd6d1f3973
https://doi.org/10.1080/01490451.2022.2137604
https://doi.org/10.1080/01490451.2022.2137604
Deep-time geographic maps are the setting base of geological research and integrated windows for looking the past earth. Reconstructing paleogeography involves the evolution of the earth’s surface tectonic process, the pattern of land and sea, clim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::572baab7131dab47caa015dda6926359
https://doi.org/10.5194/egusphere-egu23-17011
https://doi.org/10.5194/egusphere-egu23-17011
Ag-Doped CuO Microflowers on Multilayer Graphene for a Highly Sensitive Non-Enzymatic Glucose Sensor
Autor:
Junming Xu, Mengxia Tang, Shuling Liu, Jijun Zhou, Weiqin Sheng, Tao Zhou, Jun Wu, Kaixin Song, Xinchang Wang, J. P. Cheng
Publikováno v:
Journal of Electronic Materials. 51:995-1003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b83d983578f65a496e5bc1a63eedd3e
https://doi.org/10.1007/s11664-021-09387-5
https://doi.org/10.1007/s11664-021-09387-5