Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Shanghua, Gao"'
Autor:
Yan Zhang, Zhongliang Wu, Fabio Romanelli, Franco Vaccari, Changsheng Jiang, Shanghua Gao, Jiawei Li, Vladimir G. Kossobokov, Giuliano F. Panza
Publikováno v:
Geosciences, Vol 11, Iss 11, p 473 (2021)
In this paper, we discuss a possible combination of Earthquake Early Warning (EEW) and Neo-deterministic Seismic Hazard Assessment (NDSHA), and propose a new warning model, EEW2.0. The aim is to provide a differentiated warning alert to various end-u
Externí odkaz:
https://doaj.org/article/90ed78ec2e75450e8273c482e127d71f
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3895 (2021)
The Baihetan hydropower station is the second largest hydropower station worldwide. It began to store water in April 2021. We conducted a dense hybrid gravity and GNSS survey at 223 stations, obtained the free-air and Bouguer gravity anomalies, inver
Externí odkaz:
https://doaj.org/article/a03beba582e7453392c054c68d20fea7
Autor:
Yan Zhang, Zhongliang Wu, Fabio Romanelli, Franco Vaccari, Changsheng Jiang, Shanghua Gao, Jiawei Li, Vladimir G. Kossobokov, Giuliano F. Panza
For the concept of next-generation Early Earthquake Warning (EEW), the core idea is to combine EEW with seismic hazard assessment. In other words, to perform rapidly the computation of seismic hazard after the occurrence of an earthquake is detected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca0963ecdbc3700d135feb5741bf251b
https://doi.org/10.5194/egusphere-egu22-13334
https://doi.org/10.5194/egusphere-egu22-13334
Autor:
Tahmeed M. Al-Hussaini, Giorgio Altin, Bogdan Felix Apostol, N. Seth Carpenter, Sudipta Chakraborty, Ishika N. Chowdhury, Gian Paolo Cimellaro, Carmen Ortanza Cioflan, Maria Rosaria Costanzo, Mattia Crespi, Melissa De Iuliis, Benedetto De Vivo, Zhifeng Ding, Elena Dumova-Jovanoska, Mohamed N. Elgabry, Lihua Fang, Hasan al Faysal, Shanghua Gao, Mariano García-Fernández, Alexander Gorshkov, Hany M. Hassan, Hesham Hussein, Maurizio Indirli, Irwandi Irwandi, Junbo Jia, Changsheng Jiang, María-José Jiménez, Jens-Uwe Klügel, Vladimir Kossobokov, Mihaela Kouteva-Guentcheva, Efraim Laor, Andrea Magrin, Elena Florinela Manea, Sebastiano Marasco, Sokol Marku, Kristina Milkova, Lalliana Mualchin, Concettina Nunziata, Rapo Ormeni, Giuliano F. Panza, Imtiyaz A. Parvez, Ivanka Paskaleva, Antonella Peresan, Habib Rahimi, Mehdi Rastgoo, Giuseppe Rolandi, Fabio Romanelli, Leontina Romashkova, Paolo Rugarli, Farhana Sarwar, Alexander Soloviev, Franco Vaccari, Zhenming Wang, Edward W. Woolery, Zhongliang Wu, Yan Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01766a7d8e4fd834eefbdb424798f0a6
https://doi.org/10.1016/b978-0-12-823503-4.01002-2
https://doi.org/10.1016/b978-0-12-823503-4.01002-2
Publikováno v:
In Geodesy and Geodynamics August 2011 2(3):42-49
Empowered by large datasets, e.g., ImageNet, unsupervised learning on large-scale data has enabled significant advances for classification tasks. However, whether the large-scale unsupervised semantic segmentation can be achieved remains unknown. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16cc0bf4f6a1e5324073f944d17b25bf
http://arxiv.org/abs/2106.03149
http://arxiv.org/abs/2106.03149
Publikováno v:
Journal of Asian Earth Sciences. 179:56-64
The Longquan Shan fault zone (LQSF) locates in the Sichuan Basin of China, parallel to the well-known Longmen Shan fault zone. Different models for the LQSF indicate different understanding of the geological evolution of the Tibetan Plateau. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::495b91ca04f1654805a8df838a6956fe
https://doi.org/10.1016/j.jseaes.2019.04.004
https://doi.org/10.1016/j.jseaes.2019.04.004
Publikováno v:
IEEE Wireless Communications. 26:100-107
As the traditional resources (frequency, time, space, etc.) are efficiently utilized, it becomes more and more challenging to satisfy the ever-lasting capacity-growing and users-boosting demand in wireless networks. Recently, the electromagnetic (EM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aff6daa59e09426281ca9490ab819a54
https://doi.org/10.1109/mwc.2017.1700370
https://doi.org/10.1109/mwc.2017.1700370
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585389
ECCV (6)
ECCV (6)
Salient object detection models often demand a considerable amount of computation cost to make precise prediction for each pixel, making them hardly applicable on low-power devices. In this paper, we aim to relieve the contradiction between computati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64ebde6cbaf0636f271a39d7d855309e
https://doi.org/10.1007/978-3-030-58539-6_42
https://doi.org/10.1007/978-3-030-58539-6_42