Results 131 to 140 of about 6,503 (283)

Improved Tropical Cyclone Wind Estimation Using Dual‐Polarization C‐Band SAR and Machine Learning

Earth and Space Science
Tropical cyclones (TCs) characterized by extreme wind speeds present severe hazards to human life and infrastructure. Spaceborne synthetic aperture radar (SAR) has emerged as a critical observational tool for TCs, owing to its all‐weather, high ...
Chaogang Guo, Weihua Ai, Xianbin Zhao, Zhancai Liu, Hongwei Yang, Jiajia Tang   +5 more
doaj   +1 more source

Model-based comparisons of near-coincident TerraSAR-X and COSMO-SkyMed VV-polarized SAR measurements over sea surface with and without oil slicks

Geo-spatial Information Science
This paper contrasts predicted X-band sea surface backscattering from slick-free and oil-covered sea surfaces with actual measurements acquired by the X-band satellite TerraSAR-X and COSMO-SkyMed Synthetic Aperture Radar (SAR) missions.
Tingyu Meng, Ferdinando Nunziata, Xiaofeng Yang, Andrea Buono, Maurizio Migliaccio   +4 more
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Standard Deviation of Spatially-Averaged Surface Cross Section Data from the TRMM Precipitation Radar

, 2010
We investigate the spatial variability of the normalized radar cross section of the surface (NRCS or Sigma(sup 0)) derived from measurements of the TRMM Precipitation Radar (PR) for the period from 1998 to 2009.
Jones, Jeffrey A., Meneghini, Robert
core  

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Ka-Band Dual Copolarized Empirical Model for the Sea Surface Radar Cross Section

, 2017
This paper presents dual copolarized (PP) (VV and HH) Ka-band sea surface backscattering measurements taken from the Black Sea research platform at incidence angles ranging from 25 degrees to 65 degrees and in the wind speed range from 3 to 18 m/s. These
Yurovsky, Yury Yu, Grodsky, Semyon A., Kudryavtsev, Vladimir N., Chapron, Bertrand   +3 more
core   +1 more source

Concentric Rheostat Decoupled 3D Force‐Sensing Module for Smart Table Tennis Training

Advanced Intelligent Systems, EarlyView.
A 3D‐printed sensor array intrinsically decouples normal and shear forces through a unique concentric structural design. By integrating piezoresistive, sliding area‐varying capacitive, and concentric rheostat mechanisms, the 12‐sensor module achieves high‐resolution 3D force mapping without complex algorithms.
Zhe Liu, Kunlin Wu, Bingrui Sim, Wenjie Lai, Xingyu Chen, Jiajun Liu, Yifan Wang, Soo Jay Phee   +7 more
wiley   +1 more source

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

Advanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng, Wenfeng Fan, Feng Li, Jian Wu, Wei Quan   +4 more
wiley   +1 more source

Near-Nadiral Normalized Radar Cross Section of the SEA Surface at Ku, Ka, and W-Bands: Comparison of Measurements and Models

, 2012
Understanding the relationship between wind speed and direction and the near-nadiral normalized radar cross section (NRCS) of the sea surface is important in many oceanographic and atmospheric remote sensing applications: (1) wind speed retrievals in ...
Tanelli, Simone, Durden, Stephen, Johnson, Joel T., Majurec, Ninoslav   +3 more
core  

Tropical cyclone winds retrieved from c-band cross-polarized synthetic aperture radar

, 2015
This paper presents a geophysical model function (GMF) that has been developed to describe the relation of the ocean surface wind with the normalized radar cross section (NRCS) at C-band cross polarization (cross-pol).
Maresca, Salvatore, Graber, Hans C, Falchetti, Silvia, Graber, Hans C., Wackerman, Christopher, Caruso, Michael J, Caruso, Michael J., Horstmann, Jochen   +7 more
core   +1 more source