Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Vasile Lazarescu"'
Autor:
Teodor Costachioiu, Mihai Datcu, Inge Gavat, Corina Vaduva, Carmen Patrascu, Vasile Lazarescu
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:2105-2118
With a continuous increase in the number of Earth Observation satellites, leading to the development of satellite image time series (SITS), the number of algorithms for land cover analysis and monitoring has greatly expanded. This paper offers a new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7639704f1bb44eb1346039ffb4e1a242
https://doi.org/10.1109/tgrs.2012.2219316
https://doi.org/10.1109/tgrs.2012.2219316
Autor:
Emmanuel Taddy, Vasile Lazarescu
Publikováno v:
Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VII.
In this paper a brief overview of the major PV technologies is given. The technology used in the production of the photovoltaic cells, the efficiency, and where possible the lifetime of the cells are highlighted. A list of the leading manufacturers o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ffeb8a4286d6b54a0588b290e5236bc
https://doi.org/10.1117/12.2069842
https://doi.org/10.1117/12.2069842
Autor:
Vasile Lazarescu, Emmanuel Taddy
Publikováno v:
Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
Modeling of the DC-DC converter with capacitor Equivalent Series Resistance (esr) is considered in this paper. The operation of the converter in the continuous conduction mode is assumed. The modeling of the converter is based on the state-space aver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc261b5a001c292f24d50f734abf1958
https://doi.org/10.1109/ecai.2014.7090179
https://doi.org/10.1109/ecai.2014.7090179
Autor:
Emmanuel Taddy, Vasile Lazarescu
Publikováno v:
Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
Buck converters are the most popular converters used in the consumer electronic industry today. Synchronous buck converters are becoming the industry standard because of their higher efficiency and superior performance. Modeling and simulation of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4795b9eeb152d49b6b67e6bc100bb97f
https://doi.org/10.1109/ecai.2014.7090178
https://doi.org/10.1109/ecai.2014.7090178
Publikováno v:
Biomedizinische Technik/Biomedical Engineering. 43:87-90
A feed-forward neural network is used for diagnosis of spastic paralysis. It is a two-layer perceptron and it is able to classify two kinds of myoelectric signal recorded in surface electromyography: the normal EMG and the EMG in the case of spastic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fd437e72ebe51b9fffd2ae301f544cb
https://doi.org/10.1515/bmte.1998.43.s3.87
https://doi.org/10.1515/bmte.1998.43.s3.87
Publikováno v:
International Symposium on Signals, Circuits and Systems ISSCS2013.
In a wireless sensor network (WSN) the basic component is representedby the node. It is the one that offers the network the “intelligent” character, because it has the capability to collect, process and transmit data to the base station. Because
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7479e23e88176b71863ede6fd4eec88
https://doi.org/10.1109/isscs.2013.6651231
https://doi.org/10.1109/isscs.2013.6651231
Publikováno v:
WHISPERS
In this paper we propose a new method for unsupervised data model discovery in hyperspectral data, by adopting the Latent Dirichlet Allocation (LDA) text modeling tool. The proposed method relies on defining a representation of hyperspectral data tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e993a2d47669fa918f597353fcb4a0d2
https://doi.org/10.1109/whispers.2013.8080676
https://doi.org/10.1109/whispers.2013.8080676
Publikováno v:
IGARSS
Remote sensing platforms acquire huge amounts of data every day. As a result, large archives of data have been created. In order to provide access to this data efficient search and retrieval methods have to be developed, such as image information min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eeac56621d22019444d3cd53949aef0
https://doi.org/10.1109/igarss.2012.6352416
https://doi.org/10.1109/igarss.2012.6352416
Autor:
Vasile Lazarescu, Christophe Rigotti, Nicolas Méger, Emmanuel Trouvé, Philippe Bolon, Andreea Julea
Publikováno v:
11th Industrial Conference on Data Mining ICDM 2011
11th Industrial Conference on Data Mining ICDM 2011, Aug 2011, New-York, United States. pp.189-203, ⟨10.1007/978-3-642-23184-1_15⟩
Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783642231834
ICDM
11th Industrial Conference on Data Mining ICDM 2011, Aug 2011, New-York, United States. pp.189-203, ⟨10.1007/978-3-642-23184-1_15⟩
Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783642231834
ICDM
In this paper, we present a technique to help the experts in agricultural monitoring, by mining Satellite Image Time Series over cultivated areas. We use frequent sequential patterns extended to this spatiotemporal context in order to extract sets of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b59a75ac46fd5c99536e5c61fb3506a
https://hal.science/hal-00620882
https://hal.science/hal-00620882
Huge quantities of medium resolution satellite images are available from various Earth observation sites. These archives enable the creation of long-term, medium resolution Satellite Image Time Series (SITS). Such SITS are large, complex data sets, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e9becfe20c99c3b7211fd80bfa1c64d
https://elib.dlr.de/73467/
https://elib.dlr.de/73467/