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1 Ergebnisse
1
Automating Lichen Monitoring in Ecological Studies Using In..:
, In:
2023 International Conference on Machine Learning and Applications (ICMLA)
,
Naimi, Safwen
;
Koubaa, Olfa
;
Bouachir, Wassim
... - p. 98-103 , 2023
Link:
https://doi.org/10.1109/ICMLA58977.2023.00022
RT T1 <cTitle>2023 International Conference on Machine Learning and Applications (ICMLA)</cTitle>: T1 <Title>Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10459990&Exemplar=1&LAN=DE A1 Naimi, Safwen A1 Koubaa, Olfa A1 Bouachir, Wassim A1 Bilodeau, Guillaume-Alexandre A1 Jeddore, Gregory A1 Baines, Patricia A1 Correia, David L. P. A1 Arsenault, Andre YR 2023 SN 1946-0759 K1 Climate change K1 Forestry K1 Plants (biology) K1 Masking threshold K1 Recurrent neural networks K1 Convolutional neural networks K1 Ecology K1 Fungi K1 Algae K1 Microorganisms K1 Environmental monitoring K1 Biodiversity K1 Epiphytic Lichens K1 Mask Scoring R-CNN K1 Instance Segmentation K1 Climate Change K1 Forest Ecology SP 98 OP 103 LK http://dx.doi.org/https://doi.org/10.1109/ICMLA58977.2023.00022 DO https://doi.org/10.1109/ICMLA58977.2023.00022 SF ELIB - SuUB Bremen
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