Results 81 to 90 of about 14,119 (174)
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 +3 more
wiley +1 more source
Geodetic analysis of Skylab altimetry preliminary data - SL/2 EREP pass 9 [PDF]
The author has identified the following significant results. The analysis was based on a time series intrinsic relationship between the satellite ephemeris, altimeter measured ranges, and the corresponding a priori values of subsatellite geoidal heights.
Fubara, D. M. J., Mourad, A. G.
core +1 more source
Principled Fourier Neural Operators for High‐Resolution Regional Ocean Modeling
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 +4 more
wiley +1 more source
The application of Skylab altimetry to marine geoid determination [PDF]
The author had identified the following significant results. The major results can be divided broadly into two groups. One group is concerned with the effects of errors inherent in the various input data, such as the orbit emphemeris, a priori geoid etc.
Fubara, D. M. +3 more
core +1 more source
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 +7 more
wiley +1 more source
Monitoring Groundwater Pumping Using Time‐Lapse Tomography From Ambient Seismic Noise
Abstract Management of water resources will be of critical importance as the effects of climate change accelerate. This implies the need to monitor water resources with high spatial and temporal resolution. One way to meet this need could be passive seismic methods using ambient seismic noise. In this study, we present a novel approach using time‐lapse
Richard Kramer +5 more
wiley +1 more source
A Bayesian perspective on orientation estimation in cryo‐EM is presented, with the minimum mean‐square error estimator outperforming standard cross‐correlation‐based approaches, particularly under challenging low signal‐to‐noise conditions. We demonstrate that improved orientation estimation has a decisive impact on 3D reconstruction quality and ...
Sheng Xu +3 more
wiley +1 more source
ABSTRACT This study examines plot divisions and units of measurement in regular medieval new towns in Central Europe, with a particular focus on historical Silesia. By applying the cosine quantogram method alongside GIS‐referenced cartographic sources and modular analysis, the research reconstructs the spatial organization of urban layouts. The results
Maria Legut‐Pintal +3 more
wiley +1 more source
Rethinking network embeddedness in international business: A review and view in space and time
Abstract Conceptual and empirical contributions to network embeddedness have flourished in the last decades within the field of international business (IB). Scholars have used the concept to explain IB phenomena through the lens of business actors’ network relationships and positions in their networks.
Giulia Galizzi +2 more
wiley +1 more source
ABSTRACT Among the various theories of categorization, Eleanor Rosch's prototype theory stands out as both influential and contested. In contrast to the classical theory of concepts, prototype theory posits that humans conceptualize the world using category structures where exemplars vary in their degree of membership.
Zilong Liu +5 more
wiley +1 more source

