0000000000939835

AUTHOR

Tuomo Kalliokoski

showing 3 related works from this author

D-meson production according to the parton model and their detection in ALICE

2007

Modern understanding in particle physics is constructed over lay- ers and layers of work. Most of the work was done during last century, starting from the quantum mechanics. Modern theoretical basis is the parton model, which is constructed from three independent parts: distribution of momentum to partons inside hadron, partonic cross-sections from QCD and from fragmentation of parton to hadrons. All of these parts are discussed in this work. Future experiments are aiming for higher energies and/or greater number of intresting events than what previous experiments were capable to gain. Main example of this is LHC and ALICE-experiment on it in CERN. While simulations have benefited greatly f…

ALICEHigh Energy Physics::PhenomenologyHigh Energy Physics::ExperimentNuclear Physics - ExperimentD-mesonhiukkasfysiikkaNuclear Experimentparton model
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Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data

2021

There are multiple papers published about different AI models for the COVID-19 diagnosis with promising results. Unfortunately according to the reviews many of the papers do not reach the level of sophistication needed for a clinically usable model. In this paper I go through multiple review papers, guidelines, and other relevant material in order to generate more comprehensive requirements for the future papers proposing a AI based diagnosis of the COVID-19 from chest X-ray data (CXR). Main findings are that a clinically usable AI needs to have an extremely good documentation, comprehensive statistical analysis of the possible biases and performance, and an explainability module.

FOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)tilastomenetelmätImage and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionCOVID-19ennusteetlääketiedetekoälydiagnostiikkaElectrical Engineering and Systems Science - Image and Video Processingartificial intelligenceMachine Learning (cs.LG)data modelsclinical diagnosisstatistical analysisFOS: Electrical engineering electronic engineering information engineeringtilastolliset mallittietomallittietojärjestelmät2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Underground multi-muon experiment EMMA

2011

EMMA is a new experiment designed for cosmic-ray composition studies around the knee energy operating at the shallow depth underground in the Pyhäsalmi mine, Finland. The array has sufficient coverage and resolution to determine the multiplicity, the lateral density distribution and the arrival direction of high-energy muons on an event by event basis. Preliminary results on the muon multiplicity extracted using one detector station of the array are presented. peerReviewed

nuclear spectroscopyPhysics::Instrumentation and Detectorsaccelerator-based physicsmaanalainen fysiikkamyonitKosmiset säteetkiihdytinpohjainen fysiikkaastrohiukkasfysiikkaydinrakennenuclear structureydinspektroskopiaHigh Energy Physics::Experimentpolviydinfysiikka
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