A Deep-Learning Based Solution to Automatically Control Closure and Seal of Pizza Packages

Autor: Nuria Banus, Imma Boada, Anton Bardera, Pol Toldra

Publikováno v: IEEE Access, Vol 9, Pp 167267-167281 (2021)

Closure and seal inspection is one of the key steps in quality control of pizza packages. This is generally carried out by human operators that are not able to inspect all the packages due to cadence restrictions. To overcome this limitation, a compu

Externí odkaz: https://doaj.org/article/22b2a7e7583640b5b9672fb73b1904d9

Some Order Preserving Inequalities for Cross Entropy and Kullback–Leibler Divergence

Autor: Mateu Sbert, Min Chen, Jordi Poch, Anton Bardera

Publikováno v: Entropy, Vol 20, Iss 12, p 959 (2018)

Cross entropy and Kullback⁻Leibler (K-L) divergence are fundamental quantities of information theory, and they are widely used in many fields. Since cross entropy is the negated logarithm of likelihood, minimizing cross entropy is equivalent to max

Externí odkaz: https://doaj.org/article/4f3191f9ff2e46f2a9e41f64c3d3147d

Novel Brain Complexity Measures Based on Information Theory

Autor: Ester Bonmati, Anton Bardera, Miquel Feixas, Imma Boada

Publikováno v: Entropy, Vol 20, Iss 7, p 491 (2018)

Brain networks are widely used models to understand the topology and organization of the brain. These networks can be represented by a graph, where nodes correspond to brain regions and edges to structural or functional connections. Several measures

Externí odkaz: https://doaj.org/article/7300162d954e4e03aded64b726ce4041

A scalable method to construct compact road networks from GPS trajectories

Autor: Anton Bardera, Rodrigo I. Silveira, Yuejun Guo, Marta Fort

Publikováno v: © International Journal of Geographical Information Science, 2020, vol. undef, num. undef, p. 1-10
Articles publicats (D-IMAE)
Guo, Yuejun Bardera i Reig, Antoni Fort, Marta Silveira, Rodrigo I. 2020 A scalable method to construct compact road networks from GPS trajectories International Journal of Geographical Information Science undef undef 1 10
DUGiDocs – Universitat de Girona
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UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

The automatic generation of road networks from GPS tracks is a challenging problem that has been receiving considerable attention in the last years. Although dozens of methods have been proposed, current techniques suffer from two main shortcomings:

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02ecb3dcdacde1b26ed23485bc02c7d0
https://doi.org/10.1080/13658816.2020.1832229

Evaluation of an automatic lean meat percentage quantification method based on a partial volume model from computed tomography scans

Autor: Imma Boada, Anton Bardera, Maria Font-i-Furnols, A. Brun, Marina Gispert, Pau Xiberta

Publikováno v: © Computers and Electronics in Agriculture, 2018, vol. 151, p. 365-375
Articles publicats (D-IMAE)
Xiberta, Pau Bardera i Reig, Antoni Boada, Imma Gispert, Marina Brun, Albert Font-i-Furnols, Maria 2018 Evaluation of an automatic lean meat percentage quantification method based on a partial volume model from computed tomography scans Computers and Electronics in Agriculture 151 365 375
DUGiDocs – Universitat de Girona
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The quality of a pig carcass is mainly measured by the lean meat percentage (LMP), which can be virtually estimated from computed tomography (CT) scans. Different strategies exist to classify the CT voxels into tissues such as fat, lean and bone, bei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a985fa6aff5beb68b04871849cbcaa5
https://doi.org/10.1016/j.compag.2018.06.019