The evaluation also confirmed the exceptional accuracy of PlanetiQ's data, which significantly outperforms other commercial radio occultation datasets assessed by independent researchers. PlanetiQ's ...
Earth's radiation budget is a core process of the Earth-atmosphere system, closely linked to global climate and environmental ...
The ESIS-II mission aims to capture high-speed “snapshot” images of the Sun’s transition region and corona. To achieve this, ...
Abstract: Spatio-temporal data like a Dynamically Weighted Directed Network (DWDN) are ubiquitous in bigdata applications like an intelligent recommender system. They commonly illustrate the complex ...
A research team led by Profs. Li Jing and Liu Qinhuo from the Aerospace Information Research Institute of the Chinese Academy ...
A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...
The Huang-Huai-Hai region is a major winter wheat production area in China. Achieving accurate yield estimation through high spatio-temporal resolution MODIS remote sensing combined with ...
Summary: New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia with high accuracy. By analyzing both the timing and frequency of ...
This study is led by Li Yiran, Dr. Li Qingyong, Dr. Geng Yangli-ao and Guo zhiqing from Beijing Jiaotong University, and Dr. Zheng Dong, Dr. Xu Liangtao, Yao wen and Dr. Lyu Weitao from Chinese ...
Abstract: Polarimetric SAR interferometric (PolInSAR) methods have proven effective for estimating canopy height using airborne data, yet their application with spaceborne sensors remains limited.
A new artificial intelligence (AI) model called Centaur can predict and simulate human thought and behavior better than any past models, opening the door for cutting-edge research applications. When ...
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