Zobrazeno 1 - 10
of 2 443
pro vyhledávání: '"Volker, C"'
In this work, we propose a deep learning-based method to perform semiparametric regression analysis for spatially dependent data. To be specific, we use a sparsely connected deep neural network with rectified linear unit (ReLU) activation function to
Externí odkaz:
http://arxiv.org/abs/2301.03747
Autor:
Fa Li, Qing Zhu, Kunxiaojia Yuan, Fujiang Ji, Arindam Paul, Peng Lee, Volker C. Radeloff, Min Chen
Publikováno v:
Earth's Future, Vol 12, Iss 10, Pp n/a-n/a (2024)
Abstract More frequent and widespread large fires are occurring in the western United States (US), yet reliable methods for predicting these fires, particularly with extended lead times and a high spatial resolution, remain challenging. In this study
Externí odkaz:
https://doaj.org/article/d718435c74124fd9801218c7a164b026
Publikováno v:
Global Ecology and Conservation, Vol 54, Iss , Pp e03186- (2024)
Habitat loss and fragmentation in tropical regions are major threats to the persistence of endangered Malay tapir (Tapirus indicus). The Malay tapir distribution is largely constrained to fragmented habitats inside protected areas. However, it is unc
Externí odkaz:
https://doaj.org/article/2b22f3bf66344625b0f634fac0643b75
Simulations with high accuracy are an essential part of scientific research to accelerate the innovation process. They are especially useful for finding novel approaches or optimizing existing methods. Today, powerful software tools are available con
Externí odkaz:
http://arxiv.org/abs/2208.13835
Autor:
Xu, Jin, Farwell, Laura, Radeloff, Volker C., Luther, David, Songer, Melissa, Cooper, William Justin, Huang, Qiongyu
Publikováno v:
In Remote Sensing of Environment 15 December 2024 315
Publikováno v:
In Global Ecology and Conservation October 2024 54
Autor:
Schug, Franz, Pfoch, Kira A., Pham, Vu-Dong, van der Linden, Sebastian, Okujeni, Akpona, Frantz, David, Radeloff, Volker C.
Publikováno v:
In Remote Sensing of Environment 1 September 2024 311
Autor:
Rojas, Isabel M., Radeloff, Volker C., McCabe, Jennifer D., Ibarra, J. Tomás, Pidgeon, Anna M.
Publikováno v:
In Biological Conservation August 2024 296
Publikováno v:
Fermentation, Vol 10, Iss 9, p 463 (2024)
In this research work, a new software tool concept and its application for the rapid and flexible development of mechanistic digital twin core models for bioprocesses in various reactor designs are presented. The newly developed software tool concept
Externí odkaz:
https://doaj.org/article/6fb64fc1a4c7450882d8361e86e94c03