Results 201 to 210 of about 72,600 (267)

Measurement of Phase Velocity and Ellipticity of Multi‐Mode Surface Waves by Beamforming Multi‐Component Ambient Seismic Noise

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract Conventional beamforming of multi‐component ambient seismic noise typically utilizes only the vertical‐vertical (ZZ) component to extract Rayleigh wave dispersion curves or the transverse‐transverse (TT) component for Love waves. In this study, we extend weighted and modified beamforming to cross‐correlation functions between different ...
Tongwei Qin, Youyuan Zhang, Shanshan Jia, Laiyu Lu   +3 more
wiley   +1 more source

Publisher Correction: Optimizing the early-stage of composting process emissions - artificial intelligence primary tests. [PDF]

Sci Rep
Rosik J, Karczewski M, Stegenta-Dąbrowska S.   +2 more
europepmc   +1 more source

Evaluating Seismic Ambient Noise Techniques for Imaging Lava Tubes on the Moon

Journal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Detecting and characterizing lava tubes is a key objective of upcoming lunar missions. While evidence for their presence exists, their precise dimensions and depths remain uncertain. This study evaluates the potential of seismic ambient noise methods, such as seismic interferometry, H/V spectral ratios, distributed acoustic sensing (DAS), and ...
Sabrina Keil, Rok Sesko, Martin Schimmel, Heiner Igel, Philipp Reiss   +4 more
wiley   +1 more source

A Review on UAS Trajectory Estimation Using Decentralized Multi-Sensor Systems Based on Robotic Total Stations. [PDF]

Sensors (Basel)
Dammert L, Thalmann T, Monetti D, Neuner HB, Mandlburger G.   +4 more
europepmc   +1 more source

Global Detection and Morphological Characterization of Seamounts With Weakly Supervised Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Seamounts are submarine volcanic features that record the tectonic and magmatic evolution of Earth's interior, yet their global distribution remains poorly resolved due to sparse high‐resolution bathymetric coverage. We present a weakly supervised deep learning framework that integrates gravity and bathymetric data to enable global‐scale ...
Zhengfa Bi, Xinming Wu, Xiaohua Xu, Nori Nakata   +3 more
wiley   +1 more source

Research note: Dietary curcumin cocrystals enhance egg quality and lipid metabolism in laying hens. [PDF]

Poult Sci
Kong L, Zhang Q, Wang Z, Okasha H, Song Z.   +4 more
europepmc   +1 more source

Principled Fourier Neural Operators for High‐Resolution Regional Ocean Modeling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Reliable and computationally efficient ocean state forecasts are essential for climate resilience, maritime safety, and science‐to‐decision applications. Growing demand has stimulated interest in machine learning approaches as scalable complements to traditional numerical models.
Vahidreza Jahanmard, Robinson Hordoir, Ali Ramezani‐Kebrya, Artu Ellmann, Nicole Delpeche‐Ellmann   +4 more
wiley   +1 more source

Automated Building Monitoring System Based on Reflectorless Measurements: A Case Study of the IMSGeo System. [PDF]

Sensors (Basel)
Kowalska ME, Zaczek-Peplinska J, Łapiński S, Piasta Ł.   +3 more
europepmc   +1 more source

A High‐Accuracy TEC Model for Low‐Mid Latitudes Using a BWO‐Optimized CNN‐xLSTM Hybrid Model With Multi‐Instrument Data Fusion

Space Weather, Volume 24, Issue 4, April 2026.
Abstract The total electron content (TEC) in the ionosphere is strongly affected by solar activity and geomagnetic disturbances in mid‐ and low‐latitude regions, making it a major source of error in GNSS navigation and communication systems. To improve the prediction accuracy of ionospheric TEC, this study proposes a deep learning model—Beluga Whale ...
Wang Li, Jitong Li, Jiale Li, Guanyu Chen, Dongsheng Zhao, Longjiang Li, Xiaoqing Zuo, Kefei Zhang   +7 more
wiley   +1 more source