Results 121 to 130 of about 900,404 (268)

Neural Operators for Continuous Bias Correction of Water Level Forecast Guidance

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract The National Oceanic and Atmospheric Administration's (NOAA) Global Two‐Dimensional Surge and Tide Operational Forecast System (STOFS‐2D‐Global) provides global operational tidal, subtidal, and total water level forecast guidance with a 7.5‐day horizon.
Atieh Alipour, Fariborz Daneshvar, Soroosh Mani, Gregory Seroka, Lei Shi, Zizang Yang, Yuji Funakoshi, Georgios Britzolakis, Edward Payson Myers, Kamyar Azizzadenesheli, Saeed Moghimi   +10 more
wiley   +1 more source

FMLD: A Vertical Federated Learning Framework for Privacy‐Preserving Multimodal Landslide Detection

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Landslides are among the most severe global geohazards posing a significant threat to human life and infrastructure. To support landslide detection and prediction, various geohazard monitoring approaches have been developed, such as optical remote sensing imagery, light detection and ranging, and ground‐based sensors, generating vast volumes ...
Xiaochuan Tang, Zhong Lu, Xuanmei Fan, Xiaochuang Yan, Huailiang Li, Shui‐Hua Jiang, Sansar Raj Meena, Dongfen Li, Kushanav Bhuyan, Alessandro Novellino, Hongjun Li, Filippo Catani   +11 more
wiley   +1 more source

SEISMIC DESIGN FOR RESILIENT SOCIETY

SEISMIC DESIGN FOR RESILIENT SOCIETY
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Should all Noises Be Treated Equally: Impact of Input Noise Variability on Neural Network Robustness

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Geophysical data collected from active field sites are often contaminated by complex and heterogeneous noise, obscuring weak seismic events, and complicating automated interpretation. Although deep learning offers promising solutions for seismic processing, its performance is highly sensitive to the nature of training noise, especially under ...
S. Alsinan, M. Makarenko, S. Liu, A. Aldawood, I. Hoteit   +4 more
wiley   +1 more source

The power of the past: materializing collective memory at early medieval lordly centres

Early Medieval Europe, Volume 34, Issue 1, Page 34-69, February 2026.
The repurposing of earlier sites and monuments is an enduringly popular theme in early medieval archaeology, but in England it has attracted little interest among Late Saxon and early post‐Conquest studies. From the tenth century, however, an increasingly prevalent pattern is discernible of secular lords locating their power centres in relation to ...
Duncan W. Wright, Oliver H. Creighton, David Gould, Scott Chaussée, Tim Kinnaird, Michael Shapland, Aayush Srivastava, Sam Turner   +7 more
wiley   +1 more source

On the Seismic Resilience

Journal of Geological Resource and Engineering, 2019
openaire   +1 more source

Forest Loss Influences Biomass Distribution Across Trophic Groups of Amazonian Stream Insects

Freshwater Biology, Volume 71, Issue 2, February 2026.
ABSTRACT Changes in resource availability caused by deforestation can negatively impact freshwater ecosystems, with implications for trophic chains. We investigated both the direct and indirect effects of forest cover and allochthonous resource availability on the biomass distribution of larvae of aquatic insects (Ephemeroptera, Plecoptera, Trichoptera
Gabriel Martins Cruz, Josinete Sampaio Monteles, Joás Silva Brito, Bethânia Oliveira Resende, Neusa Hamada, Renato Tavares Martins, Francisco Valente‐Neto, Ana Paula Justino Faria, Leandro Juen   +8 more
wiley   +1 more source

Building Seismic Resilience : A Review of the Croatian Regulatory Framework for Seismic Resilience

Regulating seismic resilience is essential for Croatia to protect lives, minimize physical damage, and support sustainable development. Although earthquakes occur less frequently than other hazards, they pose significant risks to communities and infrastructure.
openaire   +1 more source

A ModEx Framework for Watershed Subsurface Investigation With Limited Geophysical Data Using Machine Learning and Hydrologic Modeling

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Subsurface heterogeneity influences watershed hydrology strongly but remains difficult to characterize at catchment scales with sparse and costly field data. Geophysical surveys such as electromagnetic induction (EMI) provide local spatial subsurface images yet scaling them to watershed scales and converting EMI‐derived resistivity into ...
Hang Chen, Robin Thibaut, Chunwei Chou, Chen Xiong, Yuxin Wu   +4 more
wiley   +1 more source

Seismic resilience of urban networks: dataset for infrastructure visualization and vulnerability assessment. [PDF]

Sci Data
Civera M, Aloschi F, Di Maio GM, Fierro Carrasco JP, Miano A, Chiaia B, Prota A.   +6 more
europepmc   +1 more source