Results 1 to 10 of about 11,082,968 (347)

Learning-Based Seismic Velocity Inversion with Synthetic and Field Data [PDF]

Sensors, 2023
Building accurate acoustic subsurface velocity models is essential for successful industrial exploration projects. Traditional inversion methods from field-recorded seismograms struggle in regions with complex geology. While deep learning (DL) presents a
Stuart Farris, Robert Clapp, Mauricio Araya-Polo   +2 more
doaj   +2 more sources

Robust and Explainable Semi-Supervised Deep Learning Model for Anomaly Detection in Aviation

Aerospace, 2022
Identifying safety anomalies and vulnerabilities in the aviation domain is a very expensive and time-consuming task. Currently, it is accomplished via manual forensic reviews by subject matter experts (SMEs).
Milad Memarzadeh, Ata Akbari Asanjan, Bryan Matthews   +2 more
doaj   +1 more source

Simulation of bridge pier scour depth base on geometric characteristics and field data using support vector machine algorithm [PDF]

Journal of Applied Research in Water and Wastewater, 2020
In this paper, two groups of datasets including Froehlich (1988) and USGS were implemented to simulate scour depth for bridge piers of three shapes (circular, sharp-nose and rectangular) using support vector machine (SVM) algorithm.
Mahdi Majedi-Asl, Rasoul Daneshfaraz, Mehdi Fuladipanah, John Abraham, Mohammad Bagherzadeh   +4 more
doaj   +1 more source

Using long-term field data to quantify water potential regulation in response to VPD and soil moisture in a conifer tree. [PDF]

New Phytol
Bourbia I, Yates LA, Brodribb TJ.
europepmc   +3 more sources

A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia

Remote Sensing, 2022
To study global and regional environment protection and sustainable development and also to optimize mapping methods, it is of great significance to compare three existing 10 m resolution global land cover products in terms of accuracy: FROM-GLC10, the ...
Yaxin Ding, Xiaomei Yang, Zhihua Wang, Dongjie Fu, He Li, Dan Meng, Xiaowei Zeng, Junyao Zhang   +7 more
doaj   +1 more source

Influence of SARS-CoV-2 surveillance outputs produced by the UK health security agency (UKHSA) outbreak surveillance team on decision-making by local stakeholders

BMC Public Health, 2023
Background The UK Health Security Agency (UKHSA) COVID-19 Outbreak Surveillance Team (OST) was established in June 2020 to provide Local Authorities (LAs) in England with surveillance intelligence to aid their response to the SARS-CoV-2 epidemic. Reports
Katriina Willgert, Jo Hardstaff, Stephanie Shadwell, Alex Bhattacharya, Paula Blomquist, Roberto Vivancos, Ian Simms   +6 more
doaj   +1 more source

Application of Iterative Virtual Events Internal Multiple Suppression Technique: A Case of Southwest Depression Area of Tarim, China

Applied Sciences, 2023
The seismic records in the Cambrian southwest depression of the Tarim Basin exhibit discrepancies when compared to the actual geological setting, which is caused by the presence of multiples.
Mingtu Xiao, Junfa Xie, Weihong Wang, Wenqing Liu, Jiaqing Sun, Baozhong Jin, Tao Zhang, Yuhe Zhao, Yihui Wang   +8 more
doaj   +1 more source

Unsupervised Anomaly Detection in Flight Data Using Convolutional Variational Auto-Encoder

Aerospace, 2020
The modern National Airspace System (NAS) is an extremely safe system and the aviation industry has experienced a steady decrease in fatalities over the years.
Milad Memarzadeh, Bryan Matthews, Ilya Avrekh   +2 more
doaj   +1 more source

A Conventional Cruise and Felled-Tree Validation of Individual Tree Diameter, Height and Volume Derived from Airborne Laser Scanning Data of a Loblolly Pine (P. taeda) Stand in Eastern Texas

Remote Sensing, 2022
Globally, remotely sensed data and, in particular, Airborne Laser Scanning (ALS), are being assessed by the forestry industry for their ability to acquire accurate forest inventories at an individual-tree level.
Mark V. Corrao, Aaron M. Sparks, Alistair M. S. Smith   +2 more
doaj   +1 more source

Gas Emission Craters and Mound-Predecessors in the North of West Siberia, Similarities and Differences

Remote Sensing, 2020
Detailed analysis of five gas emission craters (GEC) found in the north of West Siberia is presented. Remote sensing data used in the study is verified by field surveys. Previous studies show that all of the GECs were preceded by mounds 2 to 6 m high and
Alexander Kizyakov, Marina Leibman, Mikhail Zimin, Anton Sonyushkin, Yury Dvornikov, Artem Khomutov, Damien Dhont, Eric Cauquil, Vladimir Pushkarev, Yulia Stanilovskaya   +9 more
doaj   +1 more source