Literature DB >> 28732108

Prospective Interest of Deep Learning for Hydrological Inference.

Jean Marçais1,2, Jean-Raynald de Dreuzy2.   

Abstract

Mesh:

Year:  2017        PMID: 28732108     DOI: 10.1111/gwat.12557

Source DB:  PubMed          Journal:  Ground Water        ISSN: 0017-467X            Impact factor:   2.671


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  2 in total

1.  An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning Algorithms.

Authors:  Przemysław Juda; Philippe Renard
Journal:  Front Artif Intell       Date:  2021-03-18

2.  Harnessing Deep Learning in Ecology: An Example Predicting Bark Beetle Outbreaks.

Authors:  Werner Rammer; Rupert Seidl
Journal:  Front Plant Sci       Date:  2019-10-28       Impact factor: 5.753

  2 in total

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