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Article

32 Citations

9,014 Views

18 Pages

The Use of Decision Support Systems in Forest Management: Analysis of FORSYS Country Reports

Silvana Nobre,
Ljusk-Ola Eriksson and
Renats Trubins

Forests2016, 7(3), 72;https://doi.org/10.3390/f7030072

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21 March 2016

From 2009 to 2013, a group of more than 100 researchers from 26 countries, under a COST-Action project named FORSYS, worked on a review of the use of forest management decision support systems (FMDSS). Guided by a template, local researchers conducte...

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Article

27 Citations

4,862 Views

30 Pages

Spatial Optimization and Tradeoffs of Alternative Forest Management Scenarios in Macedonia, Greece

Palaiologos Palaiologou,
Kostas Kalabokidis,
Alan A. Ager,
Spyros Galatsidas,
Lampros Papalampros and
Michelle A. Day

Forests2021, 12(6), 697;https://doi.org/10.3390/f12060697

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28 May 2021

Managing forests has been demonstrated to be an efficient strategy for fragmenting fuels and for reducing fire spread rates and severity. However, large-scale analyses to examine operational aspects of implementing different forest management scenari...

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Article

52 Citations

2,061 Views

10 Pages

Feasibility of Deep Learning–Based PET/MR Attenuation Correction in the Pelvis Using Only Diagnostic MR Images

Tyler J. Bradshaw,
Gengyan Zhao,
Hyungseok Jang,
Fang Liu and
Alan B. McMillan

Tomography2018, 4(3), 138-147;https://doi.org/10.18383/j.tom.2018.00016

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1 September 2018

This study evaluated the feasibility of using only diagnostically relevant magnetic resonance (MR) images together with deep learning for positron emission tomography (PET)/MR attenuation correction (deepMRAC) in the pelvis. Such an approach could el...

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