An efficient parallel DCNN algorithm in big data environment

Big data plays a vital role in developing remote sensing, landslide prediction, and enabling applications, the integration of deep convolutional neural networks (DCNN) has significantly improved its prediction accuracy. However, several challenges remain in processing vast satellite imagery and othe...

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Vydané v:	PeerJ. Computer science Ročník 11; s. e2871
Hlavní autori:	Mao, Yimin, Nanehkaran, Yaser Ahangari, Chandrasekaran, Neelakandan, Huo, Ying, Wen, Zhan Qing, Gong, ke, Decheng, Miao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States PeerJ. Ltd 20.05.2025 PeerJ Inc
Predmet:	Algorithms Algorithms and Analysis of Algorithms Artificial Intelligence Big data Data Mining and Machine Learning Data Science Geospatial data Im2col Landslides MapReduce Neural Networks Parallel DCNN Remote sensing Im2col Parallel DCNN MapReduce
ISSN:	2376-5992, 2376-5992
On-line prístup:	Získať plný text
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