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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Bibliographic Details
Published in:	PeerJ. Computer science Vol. 11; p. e2871
Main Authors:	Mao, Yimin, Nanehkaran, Yaser Ahangari, Chandrasekaran, Neelakandan, Huo, Ying, Wen, Zhan Qing, Gong, ke, Decheng, Miao
Format:	Journal Article
Language:	English
Published:	United States PeerJ. Ltd 20.05.2025 PeerJ Inc
Subjects:	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
Online Access:	Get full text
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