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Machine Learning and Knowledge Extraction, Volume 2, Issue 1

March 2020 - 4 articles

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Articles (4)

  • Article
  • Open Access
74 Citations
8,050 Views
19 Pages

This article presents a new methodology called Deep Theory of Functional Connections (TFC) that estimates the solutions of partial differential equations (PDEs) by combining neural networks with the TFC. The TFC is used to transform PDEs into unconst...

  • Article
  • Open Access
20 Citations
5,693 Views
14 Pages

Canopy Height Estimation at Landsat Resolution Using Convolutional Neural Networks

  • Syed Aamir Ali Shah,
  • Muhammad Asif Manzoor and
  • Abdul Bais

Forest structure estimation is very important in geological, ecological and environmental studies. It provides the basis for the carbon stock estimation and effective means of sequestration of carbon sources and sinks. Multiple parameters are used to...

  • Editorial
  • Open Access
1 Citations
2,407 Views
3 Pages

The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not [...]

  • Article
  • Open Access
8 Citations
4,109 Views
19 Pages

An artificial neural network (ANN) is an automatic way of capturing linear and nonlinear correlations, spatial and other structural dependence among features. This machine performs well in many application areas such as classification and prediction...

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Mach. Learn. Knowl. Extr. - ISSN 2504-4990