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Ulrike Faltings, Tobias Bettinger, Swen Barth and Michael Schäfer
Collecting and labeling of good balanced training data are usually very difficult and challenging under real conditions. In addition to classic modeling methods, Generative Adversarial Networks (GANs) offer a powerful possibility to generate synthetic tr...
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Jan Ka?par, Pete Bettinger, Harald Vacik, Róbert Maru?ák and Jordi Garcia-Gonzalo
Climate and social changes place strong demands on forest managers. Forest managers need powerful approaches and tools, which could help them to be able to react to the rapidly changing conditions. However, the complexity of quantifying forest ecosystems...
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Krista Merry, Pete Bettinger, Donald L. Grebner, Kevin Boston and Jacek Siry
This research evaluates the current use of geographic information systems (GIS) by forestry program graduates employed in the United States who graduated from university in the past five years. The purpose was to understand what geospatial processes and ...
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Eric P. Bettinger
Pág. 686 - 698
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Y. Shan,P. Bettinger,C. Cieszewski,W. Wang
Pág. 468 - 480
We describe here an example of applying particle swarm optimization (PSO) ? a population-based heuristic technique ? to maximize the net present value of a contemporary southern United States forest plan that includes spatial constraints (green-up and ad...
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Eric P. Bettinger, Bridget Terry Long
Pág. 598 - 613
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Akay, Abdullah E.; Sessions, John; Bettinger, Pete; Toupin, Rick; Eklund, Aaron
Pág. 102 - 107
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Bettinger, Peter; Johnson, K. Norman; Sessions, John
Pág. 15 - 22
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