P. Gaspar
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View article: Modulation instability in a binary Bose-Einstein condensate
Modulation instability in a binary Bose-Einstein condensate Open
View article: Hyperspectral Sensing for High-Throughput Screening of Boron Tolerance in Grapevines
Hyperspectral Sensing for High-Throughput Screening of Boron Tolerance in Grapevines Open
Boron (B) is an essential micronutrient for grapevine growth, yet excessive levels can impair photosynthesis, reduce yields, and diminish fruit quality. In this study, we evaluated the potential of hyperspectral radiometry combined with ma…
View article: Towards a common approach for managing food allergy and serious allergic reactions (anaphylaxis) at school. GA<sup>2</sup>LEN and EFA consensus statement
Towards a common approach for managing food allergy and serious allergic reactions (anaphylaxis) at school. GA<sup>2</sup>LEN and EFA consensus statement Open
GA 2 LEN and EFA propose minimum specifications for all industrialised countries/regions to work towards to support students with food allergies in educational settings. We reviewed research and legislation and gained feedback from over 10…
View article: Machine Learning Based Sampling of X-Ray Images for a Computer-Aided Detection of Tuberculosis
Machine Learning Based Sampling of X-Ray Images for a Computer-Aided Detection of Tuberculosis Open
Computer-Aided Detection software relies on annotated data set of X-rays to be developed. The annotation task is time-consuming and requires extensive know-how. This work presents a sampling method to select the most relevant images, which…
View article: Machine Learning based sampling of X-Ray images for a computer-aided detection of Tuberculosis
Machine Learning based sampling of X-Ray images for a computer-aided detection of Tuberculosis Open
Computer Aided Detection software relies on an annotated data set of X-rays to be developed. The annotation task requires extensive know-how and it is very time-consuming. This work presents a sampling method to select the most relevant im…
View article: Towards the Increase in Granularity for the Main Hadronic ATLAS Calorimeter: Exploiting Deep Learning Methods
Towards the Increase in Granularity for the Main Hadronic ATLAS Calorimeter: Exploiting Deep Learning Methods Open
During the second phase upgrade program developed for LHC and its experiments, the main hadronic calorimeter of ATLAS (TileCal) will replace completely its readout electronics, but the optical signal pathway and detector will be kept uncha…