Zobrazeno 1 - 10
of 1 386
pro vyhledávání: '"Boré, A."'
Multibeam echo-sounder (MBES) is the de-facto sensor for bathymetry mapping. In recent years, cheaper MBES sensors and global mapping initiatives have led to exponential growth of available data. However, raw MBES data contains 1-25% of noise that re
Externí odkaz:
http://arxiv.org/abs/2409.13143
Deep learning has shown promising results for multiple 3D point cloud registration datasets. However, in the underwater domain, most registration of multibeam echo-sounder (MBES) point cloud data are still performed using classical methods in the ite
Externí odkaz:
http://arxiv.org/abs/2405.06279
Implicit neural representations and neural rendering have gained increasing attention for bathymetry estimation from sidescan sonar (SSS). These methods incorporate multiple observations of the same place from SSS data to constrain the elevation esti
Externí odkaz:
http://arxiv.org/abs/2405.05807
Publikováno v:
IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 9, NO. 9, SEPTEMBER 2024
This research addresses the challenge of estimating bathymetry from imaging sonars where the state-of-the-art works have primarily relied on either supervised learning with ground-truth labels or surface rendering based on the Lambertian assumption.
Externí odkaz:
http://arxiv.org/abs/2404.14819
Autor:
Zhuoshi Huang, Jicui Cui, Abdoulaye Boré, Wenchao Ma, Ziyi Zhang, Zhi Qiao, Ziyang Lou, Johann Fellner
Publikováno v:
Eco-Environment & Health, Vol 3, Iss 3, Pp 338-346 (2024)
This study examined the potential health risks posed by the operation of 96 waste-to-energy (WtE) plants in 30 cities in the Bohai Rim of China. Utilizing a sophisticated simulation approach, the Weather Research and Forecasting (WRF) model coupled w
Externí odkaz:
https://doaj.org/article/554707c96aa74f04a39010bab4fe71e9
Autor:
Zeng, Jinzhe, Zhang, Duo, Lu, Denghui, Mo, Pinghui, Li, Zeyu, Chen, Yixiao, Rynik, Marián, Huang, Li'ang, Li, Ziyao, Shi, Shaochen, Wang, Yingze, Ye, Haotian, Tuo, Ping, Yang, Jiabin, Ding, Ye, Li, Yifan, Tisi, Davide, Zeng, Qiyu, Bao, Han, Xia, Yu, Huang, Jiameng, Muraoka, Koki, Wang, Yibo, Chang, Junhan, Yuan, Fengbo, Bore, Sigbjørn Løland, Cai, Chun, Lin, Yinnian, Wang, Bo, Xu, Jiayan, Zhu, Jia-Xin, Luo, Chenxing, Zhang, Yuzhi, Goodall, Rhys E. A., Liang, Wenshuo, Singh, Anurag Kumar, Yao, Sikai, Zhang, Jingchao, Wentzcovitch, Renata, Han, Jiequn, Liu, Jie, Jia, Weile, York, Darrin M., E, Weinan, Car, Roberto, Zhang, Linfeng, Wang, Han
Publikováno v:
J. Chem. Phys. 159, 054801 (2023)
DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the f
Externí odkaz:
http://arxiv.org/abs/2304.09409
Hybrid particle-field molecular dynamics is a molecular simulation strategy wherein particles couple to a density field instead of through ordinary pair potentials. Traditionally considered a mean-field theory, a momentum and energy-conserving hybrid
Externí odkaz:
http://arxiv.org/abs/2302.01004
Publikováno v:
Journal of Geotechnical and Geoenvironmental Engineering, Volume 149, Issue 3 (2023)
This study presents physical observations and insights into particle migration characteristics throughout the suffusion process. Using a purpose-built coaxial permeameter cell, suffusion experiments were conducted on idealised internally unstable gap
Externí odkaz:
http://arxiv.org/abs/2212.12834
Autor:
Annapareddy, V. S. Ramakrishna, Sufian, Adnan, Bore, Thierry, Bajodek, Mathieu, Scheuermann, Alexander
Publikováno v:
Geotechnique Letters, Volume 12, Issue 1 (2022)
This paper proposes semi-analytical methods to obtain the local permeability for granular soils based on indirect measurements of the local porosity profile in a large coaxial cell permeameter using spatial time-domain reflectometry. The porosity pro
Externí odkaz:
http://arxiv.org/abs/2212.12681
Autor:
Edwards, Blair, Fraccaro, Paolo, Stoyanov, Nikola, Bore, Nelson, Kuehnert, Julian, Weldemariam, Kommy, Jones, Anne
The application of models to assess the risk of the physical impacts of weather and climate and their subsequent consequences for society and business is of the utmost importance in our changing climate. The operation of such models is historically b
Externí odkaz:
http://arxiv.org/abs/2209.12080