Zobrazeno 1 - 10
of 26
pro vyhledávání: '"S. Harbola"'
Autor:
M. Brennenstuhl, M. von der Gruen, S. Harbola, A. Koukofikis, R. Padsala, M. Schaaf, V. Coors, U. Voss
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol VIII-4-W1-2021, Pp 17-24 (2021)
In the face of climate change and the energy transition that the German federal government is aiming for, all renewable energy potentials need to be tapped. Unfortunately, small wind turbines play a niche role in Germany and most other countries desp
Externí odkaz:
https://doaj.org/article/8cdee6cfa6c84f0898b9833a5885fc71
Autor:
S. Harbola, V. Coors
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol VIII-4-W1-2021, Pp 57-64 (2021)
The increased usage of the environmental monitoring system and sensors, installed on a day-to-day basis to explore information and monitor the cities’ environment and pollution conditions, are in demand. Sensor networking advancement with quality a
Externí odkaz:
https://doaj.org/article/87616186cda54832b4983ff2568f5fa8
Autor:
S. Harbola, V. Coors
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol VI-4-W2-2020, Pp 71-78 (2020)
Human and ecosystem health is affected by the risk of air pollution. A comprehensive understanding of the parameters generating pollution and governing their nature in time is essential to devise functional policies focusing on minimising the concent
Externí odkaz:
https://doaj.org/article/03a6da4481a94d2d9b86e4f4d8d679a6
Autor:
S. Harbola, V. Coors
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4-W9, Pp 65-70 (2019)
Meteorological data and its effect have been the attention of the researchers of the smart city planning for thorough utilization and management of resources, that help in effective government management, convenient public services and sustainable in
Externí odkaz:
https://doaj.org/article/4f1f9faeafd7400fbb2feb17523eb395
Autor:
S. Harbola, V. Coors
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W11, Pp 11-18 (2018)
Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy efficiency, waste management and public administratio
Externí odkaz:
https://doaj.org/article/734582afb929474bbcbdcf36c09d8959
Autor:
Volker Coors, S. Harbola
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol VIII-4-W1-2021, Pp 57-64 (2021)
The increased usage of the environmental monitoring system and sensors, installed on a day-to-day basis to explore information and monitor the cities’ environment and pollution conditions, are in demand. Sensor networking advancement with quality a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4735ab046ea9fc815392793e34514e97
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VIII-4-W1-2021/57/2021/isprs-annals-VIII-4-W1-2021-57-2021.pdf
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VIII-4-W1-2021/57/2021/isprs-annals-VIII-4-W1-2021-57-2021.pdf
Autor:
S. Harbola, Volker Coors
Publikováno v:
Energy Conversion and Management. 195:70-75
This paper proposes two one-dimensional (1D) convolutional neural networks (CNNs) for predicting dominant wind speed and direction for the temporal wind dataset. The proposed 1D Single CNN (1DS) takes as input the consecutive temporal values in terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::196d4f0a44ea3bbf28ed0c9092f50337
https://doi.org/10.1016/j.enconman.2019.05.007
https://doi.org/10.1016/j.enconman.2019.05.007
Autor:
Volker Coors, S. Harbola
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W11, Pp 11-18 (2018)
Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy efficiency, waste management and public administratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d02ee10d11533fc4672e3aa25fbead3
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W11/11/2018/isprs-archives-XLII-4-W11-11-2018.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W11/11/2018/isprs-archives-XLII-4-W11-11-2018.pdf
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Conference
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