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pro vyhledávání: '"Papp DA"'
Publikováno v:
Cybernetics and Information Technologies, Vol 19, Iss 1, Pp 88-100 (2019)
The main goal of the present research is to classify images of plants to species with deep learning. We used convolutional neural network architectures for feature learning and fully connected layers with logsoftmax output for classification. Pretrai
Externí odkaz:
https://doaj.org/article/ce7ff7376767436db3412cf1fd136ab1
Autor:
Szűcs Gábor, Papp Dávid
Publikováno v:
Cybernetics and Information Technologies, Vol 17, Iss 2, Pp 106-118 (2017)
The progress of image search engines still proceeds, but there are some challenges yet in complex queries. In this paper, we present a new semantic image search system, which is capable of multiple object retrieval using only visual content of the im
Externí odkaz:
https://doaj.org/article/dedd1c27d5e0424eabd7bd6a8189d85c
Akademický článek
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Autor:
Papp DA; Department of Biotechnology and Microbiology, Institute of Science and Informatics, University of Szeged, 6726 Szeged, Hungary., Kocsubé S; Department of Biotechnology and Microbiology, Institute of Science and Informatics, University of Szeged, 6726 Szeged, Hungary.; HCEMM-USZ Functional Cell Biology and Immunology Advanced Core Facility, University of Szeged, 6726 Szeged, Hungary., Farkas Z; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network, 6726 Szeged, Hungary., Szekeres A; Department of Biotechnology and Microbiology, Institute of Science and Informatics, University of Szeged, 6726 Szeged, Hungary., Vágvölgyi C; Department of Biotechnology and Microbiology, Institute of Science and Informatics, University of Szeged, 6726 Szeged, Hungary., Hamari Z; Department of Biotechnology and Microbiology, Institute of Science and Informatics, University of Szeged, 6726 Szeged, Hungary., Varga M; Department of Biotechnology and Microbiology, Institute of Science and Informatics, University of Szeged, 6726 Szeged, Hungary.
Publikováno v:
Toxins [Toxins (Basel)] 2024 Aug 20; Vol. 16 (8). Date of Electronic Publication: 2024 Aug 20.
Autor:
Kotogán A; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Furka ZT; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Kovács T; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Volford B; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Papp DA; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Varga M; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Huynh T; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Szekeres A; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Papp T; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Vágvölgyi C; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Mondal KC; Department of Microbiology, Vidyasagar University, Midnapore 721102, India., Kerekes EB; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary., Takó M; Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Publikováno v:
Foods (Basel, Switzerland) [Foods] 2022 Jun 10; Vol. 11 (12). Date of Electronic Publication: 2022 Jun 10.