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of 877
pro vyhledávání: '"V Walter"'
Publikováno v:
Environmental Research Letters, Vol 14, Iss 12, p 124087 (2019)
The increasing levels of variable renewable electricity (VRE) generation—such as wind and solar power—will create important opportunities for the charging of electric vehicle (EV) batteries during low-cost hours with a lot of VRE generation and f
Externí odkaz:
https://doaj.org/article/184156b8cd2941ddb012948d0fb085af
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2022, Pp 259-266 (2022)
The main bottleneck of machine learning systems, such as convolutional neural networks, is the availability of labeled training data. Hence, much effort (and thus cost) is caused by setting up proper training data sets. However, models trained on spe
Externí odkaz:
https://doaj.org/article/08dd6d2566f54f6d8a9df32afe2ddb5f
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2022, Pp 113-120 (2022)
Non-commercial, unpaid crowdsourcing is the basis of many non-profit projects on the Internet such as Wikipedia or OpenStreetMap. A prerequisite for such projects to be successful is to find a sufficient number of volunteer crowdworkers who are intri
Externí odkaz:
https://doaj.org/article/847288b13ff24f2299a8a1f5061bc99f
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2021, Pp 93-100 (2021)
Semantic interpretation of multi-modal datasets is of great importance in many domains of geospatial data analysis. However, when training models for automated semantic segmentation, labeled training data is required and in case of multi-modality for
Externí odkaz:
https://doaj.org/article/917754f217bb48c4abd2b9da3a52ae6d
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2021, Pp 97-104 (2021)
In this article, we present a two-level approach for the crowd-based collection of vehicles from 3D point clouds. In the first level, the crowdworkers are asked to identify the coarse positions of vehicles in 2D rasterized shadings that were derived
Externí odkaz:
https://doaj.org/article/7601bb468d064acdb76beef64e757fbf
Akademický článek
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Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2020, Pp 49-56 (2020)
The term "Crowdsourcing" goes back to Jeff Howe (Howe, 2006) and represents a neologism of the words "crowd" and "outsourcing". Unlike outsourcing, where companies outsource certain tasks to known third parties, crowdsourcing outsources tasks to unkn
Externí odkaz:
https://doaj.org/article/1c02623bd8604e468c3f0fd1da782d42
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 501-508 (2020)
Automated semantic interpretation of 3D point clouds is crucial for many tasks in the domain of geospatial data analysis. For this purpose, labeled training data is required, which has often to be provided manually by experts. One approach to minimiz
Externí odkaz:
https://doaj.org/article/584112dffa8040c28de5da6404b42d24
Publikováno v:
The Journal of Physical Chemistry B. 127:2028-2033