Zobrazeno 1 - 10
of 3 853
pro vyhledávání: '"P. Górka"'
Publikováno v:
Animal, Vol 18, Iss 9, Pp 101285- (2024)
Dietary butyrate is considered to have mostly positive impacts on the ruminal epithelium. However, its supplementation in a high-concentrate diet may not be justified as excessive ruminal butyrate may negatively affect the rumen. Furthermore, butyrat
Externí odkaz:
https://doaj.org/article/e19ce5f91f8240d5bd4a3744f5cfee6a
Publikováno v:
Animal, Vol 17, Iss 11, Pp 100899- (2023)
Increased ruminal butyrate production is considered to have mostly positive impacts on rumen macro- and microanatomy and its functions. However, excessive ruminal butyrate production may also affect the rumen negatively. Forty-two growing rams were a
Externí odkaz:
https://doaj.org/article/decb275b682c45cbabdb8f89b1d88339
Autor:
S. Świerk, M. Przybyło, J. Flaga, K. Szczepanik, A. Garus-Piętak, W. Biernat, E. Molik, D. Wojtysiak, R. Miltko, P. Górka
Publikováno v:
Animal, Vol 17, Iss 11, Pp 100898- (2023)
Increased ruminal butyrate production is considered to have a positive impact on rumen epithelium growth and function. However, excessive ruminal butyrate production may affect the rumen negatively, particularly when the rumen is already challenged w
Externí odkaz:
https://doaj.org/article/ebc68ff022824a6c916ab91d65d2a561
An increasing number of individuals, companies and organizations are interested in computing and minimizing the carbon emissions associated with their real-time electricity consumption. To achieve this, they require a carbon signal, i.e. a metric tha
Externí odkaz:
http://arxiv.org/abs/2411.06560
While security vulnerabilities in traditional Deep Neural Networks (DNNs) have been extensively studied, the susceptibility of Spiking Neural Networks (SNNs) to adversarial attacks remains mostly underexplored. Until now, the mechanisms to inject bac
Externí odkaz:
http://arxiv.org/abs/2411.03022
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 1, pp. 190-199, Jan. 2022
A major challenges of deep learning (DL) is the necessity to collect huge amounts of training data. Often, the lack of a sufficiently large dataset discourages the use of DL in certain applications. Typically, acquiring the required amounts of data c
Externí odkaz:
http://arxiv.org/abs/2410.22748
Vehicles are sophisticated machines equipped with sensors that provide real-time data for onboard driving assistance systems. Due to the wide variety of traffic, road, and weather conditions, continuous system enhancements are essential. Connectivity
Externí odkaz:
http://arxiv.org/abs/2410.21934
In this article, we characterize both Lusin's theorem and the existence of Borel representatives via the regularity properties of the measure in general topological measure spaces. As a corollary, we prove that Borel regularity of the measure is both
Externí odkaz:
http://arxiv.org/abs/2410.21434
Artificial Neural Networks (ANNs), commonly mimicking neurons with non-linear functions to output floating-point numbers, consistently receive the same signals of a data point during its forward time. Unlike ANNs, Spiking Neural Networks (SNNs) get v
Externí odkaz:
http://arxiv.org/abs/2409.19413
Autor:
Osorio-Marulanda, Pablo A., Ramirez, John Esteban Castro, Jiménez, Mikel Hernández, Reyes, Nicolas Moreno, Unanue, Gorka Epelde
Creation of synthetic data models has represented a significant advancement across diverse scientific fields, but this technology also brings important privacy considerations for users. This work focuses on enhancing a non-parametric copula-based syn
Externí odkaz:
http://arxiv.org/abs/2409.18611