Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Dominique Genoud"'
Publikováno v:
2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dbada39ad79193b7a9e6c7f34b31188
https://doi.org/10.1109/csde56538.2022.10089303
https://doi.org/10.1109/csde56538.2022.10089303
Publikováno v:
EUVIP
It is widely accepted that deep neural networks are very efficient for object detection in images. They reach their limit when multiple long line instances have to be detected in very high resolution images. In this paper, we present an original meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86ebeacbb5de5a9507f4ec58a8f65966
https://doi.org/10.1109/euvip50544.2021.9484058
https://doi.org/10.1109/euvip50544.2021.9484058
Publikováno v:
ESANN 2021 proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2dfa2d1899b233a95dacb4c0eff10d0
https://doi.org/10.14428/esann/2021.es2021-68
https://doi.org/10.14428/esann/2021.es2021-68
Autor:
Antonio J. Jara, Luc Dufour, Gianluca Rizzo, Marcin Piotr Pawlowski, Dominique Genoud, Alexandre Cotting, Yann Bocchi, Francois Chabbey
Microgrids present the challenge to reach a proper balance between local production and consumption, in order to reduce the usage of energy from external sources. This work presents a data-intensive solution to predict the energy behaviors. Thereby,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::447207d0edd0620573030c086c8dbed4
https://doi.org/10.4018/978-1-5225-9866-4.ch032
https://doi.org/10.4018/978-1-5225-9866-4.ch032
Autor:
Jerome Treboux, Dominique Genoud
Publikováno v:
SDS
This paper presents the performances of machine learning algorithms on aerial images object detection for high precision agriculture. The dataset used focuses on geotagged pictures of vineyards. We demonstrate that advanced machine learning methodolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::635ec31e313fd1bb85d0732eb5592909
https://doi.org/10.1109/sds.2019.00007
https://doi.org/10.1109/sds.2019.00007
Autor:
Francois Chabbey, Antonio J. Jara, Gianluca Rizzo, Dominique Genoud, Marcin Piotr Pawlowski, Luc Dufour, Alexandre Cotting, Yann Bocchi
Publikováno v:
International Journal of Data Warehousing and Mining. 12:39-61
Microgrids present the challenge to reach a proper balance between local production and consumption, in order to reduce the usage of energy from external sources. This work presents a data-intensive solution to predict the energy behaviors. Thereby,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25f69c541476d6785c6b507bc53325b
https://doi.org/10.4018/ijdwm.2016040103
https://doi.org/10.4018/ijdwm.2016040103
Autor:
Dominique Genoud, Jerome Treboux
Publikováno v:
GIoTS
This paper presents the impact of machine learning in precision agriculture. State-of-the-art image recognition is applied to a dataset composed of high precision aerial pictures of vineyards. The study presents a comparison of an innovative machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9b1529e42ba74ab4f0ae7da5d9b945a
https://doi.org/10.1109/giots.2018.8534558
https://doi.org/10.1109/giots.2018.8534558
Publikováno v:
IWBIS
This paper presents a 48-h prediction methodology for wind power production using a machine learning algorithm and focuses on the optimization of the input dataset. While power-grid operators have to keep the production equal to demand, wind power de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4c10f59602a010ad227a69e70e855cb
https://doi.org/10.1109/iwbis.2018.8471713
https://doi.org/10.1109/iwbis.2018.8471713
Publikováno v:
IWBIS
This paper presents a study of the efficiency of machine learning algorithms applied on an image recognition task. The dataset is composed of aerial GeoTIFF images of 5 different vineyards taken with a drone. It presents the application of two differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d559cf265d275da6080f8bc7654852e0
https://doi.org/10.1109/iwbis.2018.8471704
https://doi.org/10.1109/iwbis.2018.8471704
Autor:
Dominique Genoud, Antonio F. Skarmeta, Bruno Ladevie, Jean-Jacques Bezian, Antonio J. Jara, Luc Dufour, M. Victoria Moreno
Publikováno v:
Soft Computing
Soft Computing, Springer Verlag, 2016, 20 (5), p. 1749-1762. ⟨10.1007/s00500-015-1679-4⟩
Soft Computing, Springer Verlag, 2016, 20 (5), p. 1749-1762. ⟨10.1007/s00500-015-1679-4⟩
International audience; Due to the high impact that energy consumption by buildings has at global scale, energy-efficient buildings to reduce emissions and energy consumption are needed. In this work we present a novel approach to energy saving in bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d9a458cf58d2b7cdce0ae62fc51038d
https://doi.org/10.1007/s00500-015-1679-4
https://doi.org/10.1007/s00500-015-1679-4