Results 261 to 270 of about 137,368 (329)

Impact of Earthquakes During COVID-19 Lockdown on the Pediatric Injury Pattern in the Zagreb Urban Area. [PDF]

J Clin Med
Bobovec D, Žigman T, Lovaković J, Augustin G, Antabak A, Dobrić I.   +5 more
europepmc   +1 more source

Spatial-temporal modeling of urban resilience and risk to earthquakes. [PDF]

Sci Rep
Rahimi F, Sadeghi-Niaraki A, Ghodousi M, Choi SM.   +3 more
europepmc   +1 more source

Feasibility Study of Signal Processing Techniques for Vibration-Based Structural Health Monitoring in Residential Buildings. [PDF]

Sensors (Basel)
Ali F, Donyaparastlivari L, Ghorshi S, Zabihollah A, Alghamaz M, Ibrahim A.   +5 more
europepmc   +1 more source

Modeling peak ground acceleration for earthquake hazard safety evaluation. [PDF]

Sci Rep
Khalid F, Razbin M.
europepmc   +1 more source

What was the source of the nonseismic tsunami that occurred in Toyama Bay during the 2024 Noto Peninsula earthquake. [PDF]

Sci Rep
Yanagisawa H, Abe I, Baba T.
europepmc   +1 more source

Slope assisted Physics‐informed neural networks for seismic signal separation with applications on ground roll removal and interpolation

Geophysical Prospecting, EarlyView.
Abstract The knowledge of the local slope field of prestack seismic data is essential in several seismic signal processing tasks. Building on our previous slope‐assisted, physics‐informed seismic interpolation framework, dubbed PINNslope, we introduce a series of enhancements that elevate the framework's versatility.
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah   +2 more
wiley   +1 more source

Challenges in the food supply chain following the great earthquake disaster in Turkey: A study of the regions of Malatya, Adıyaman and Kahramanmaraş. [PDF]

J Educ Health Promot
Alataş H, Arslan N.
europepmc   +1 more source

Improving generalization performance of deep learning–based seismic data interpolation

Geophysical Prospecting, EarlyView.
Abstract Seismic data interpolation techniques are vital for preprocessing, as spatial undersampling in seismic data presents processing challenges. Recently, multiple deep learning–based interpolation techniques have emerged, each catering to distinct missing data scenarios, including regular, irregular or large gaps.
Jiho Park, Sooyoon Kim, Soon Jee Seol, Joongmoo Byun   +3 more
wiley   +1 more source

Abnormal low-magnitude seismicity preceding large-magnitude earthquakes. [PDF]

Nat Commun
Girona T, Drymoni K.
europepmc   +1 more source

Understanding and predicting animal movements and distributions in the Anthropocene

Journal of Animal Ecology, EarlyView.
This review provides a framework to better understand and predict animal movements and distributions in human‐modified environments. Bridging the gap between movement models and management/conservation policy is challenging. Here, the recommendations presented highlight the exciting opportunities now available to advance the field of movement ecology ...
Sara Gomez, Holly M. English, Vanesa Bejarano Alegre, Paul G. Blackwell, Anna M. Bracken, Eloise Bray, Luke C. Evans, Jelaine L. Gan, W. James Grecian, Catherine Gutmann Roberts, Seth M. Harju, Pavla Hejcmanová, Lucie Lelotte, Benjamin Michael Marshall, Jason Matthiopoulos, AichiMkunde Josephat Mnenge, Bernardo Brandao Niebuhr, Zaida Ortega, Christopher J. Pollock, Jonathan R. Potts, Charlie J. G. Russell, Christian Rutz, Navinder J. Singh, Katherine F. Whyte, Luca Börger   +24 more
wiley   +1 more source