Results 11 to 20 of about 1,997,899 (287)
Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm
Recently, convolutional neural networks (CNNs) have been successfully utilized in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. However, most CNN-based classification methods require a large number of
Wenqiang Hua +3 more
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The work is devoted to the development of a computing node for processing satellite and spatial data for earth sciences by the example of its implementation as part of the Information and Analytical Environment to support scientific research in geology of the Vernadsky State Geological Museum (SGM RAS).
V.V. Naumova, A.A. Zagumennov
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Network coding for reliable video distribution in multi-hop device-to-device communications
It is becoming more and more popular to share videos among multiple users. However, sharing video in traditional cellular networks will incur high expenses.
Lei Wang +5 more
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LD-SLAM: A Robust and Accurate GNSS-Aided Multi-Map Method for Long-Distance Visual SLAM
Continuous, robust, and precise localization is pivotal in enabling the autonomous operation of robots and aircraft in intricate environments, particularly in the absence of GNSS (global navigation satellite system) signals.
Dongdong Li +7 more
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Learning physical descriptors for materials science by compressed sensing [PDF]
The availability of big data in materials science offers new routes for analyzing materials properties and functions and achieving scientific understanding.
Ahmetcik, Emre +6 more
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With the rapid development of high-resolution earth observation systems, the data processing, algorithm design, and system development of remote sensing spatial-temporal big data (RS-STBD) have gradually become the bottleneck problems in the application ...
Yang Liu +4 more
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A Data Science Course for Undergraduates: Thinking with Data [PDF]
Data science is an emerging interdisciplinary field that combines elements of mathematics, statistics, computer science, and knowledge in a particular application domain for the purpose of extracting meaningful information from the increasingly ...
Baumer, Ben
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Information Cascades Prediction With Graph Attention
The cascades prediction aims to predict the possible information diffusion path in the future based on cascades of the social network. Recently, the existing researches based on deep learning have achieved remarkable results, which indicates the great ...
Zhihao Chen +13 more
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In this work the characteristics of a novel type of room temperature NO2 gas sensor device based on the surface photovoltage effect are described. It was shown that for our SPV gas sensor device, using porous sputtered ZnO nanostructured thin films as ...
Monika Kwoka, Jacek Szuber
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This work presents, for the very first time, very promising nitrogen dioxide (NO2) sensing characteristics of SnOx nanolayers obtained by the innovative and unique rheotaxial growth and vacuum oxidation (RGVO) processing technique.
Barbara Lyson-Sypien, Monika Kwoka
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