Zobrazeno 1 - 7
of 7
pro vyhledávání: '"T Trang, Nghiem"'
Autor:
T Trang, Nghiem, Cedric, Bousquet
Publikováno v:
Studies in health technology and informatics. 294
Methods of natural language processing associated with machine learning or deep learning can support detection of adverse drug reactions in abstracts of case reports available on Pubmed. In 2012, Gurulingappa et al. proposed a training set for the re
Autor:
T. Trang Nghiem, Cedric Bousquet
Methods of natural language processing associated with machine learning or deep learning can support detection of adverse drug reactions in abstracts of case reports available on Pubmed. In 2012, Gurulingappa et al. proposed a training set for the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b111a9363b87b75ea119bcb7f441d716
https://doi.org/10.3233/shti220615
https://doi.org/10.3233/shti220615
Publikováno v:
Modern Physics Letters B. 25:995-1001
We present a study of the giant piezoresistance effect in p-type silicon using full-band Monte Carlo simulation based on 30-band k.p calculation. This effect has been demonstrated experimentally in Si nanowires by He and Yang. By including the well-k
Autor:
Karim Huet, V. Aubry-Fortuna, Philippe Dollfus, T. T. Trang Nghiem, Arnaud Bournel, Jérôme Saint-Martin
Publikováno v:
Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science
The particle-based Monte Carlo (MC) technique is acknowledged as a powerful method for accurately describing the carrier transport in semiconductor materials and devices within the semi-classical approximation, i.e. the Boltzmann transport equation (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4059764c3496c763ac14117d32ec0c57
https://doi.org/10.5772/15524
https://doi.org/10.5772/15524
Publikováno v:
2010 International Conference on Simulation of Semiconductor Processes and Devices.
This article presents a study of the giant piezoresistance effect in p-type silicon using full-band Monte Carlo simulation. This effect has been demonstrated experimentally in Si nanowires by He and Yang [1]. By introducing a law of variation of the
Publikováno v:
2016 MIXDES - 23rd International Conference Mixed Design of Integrated Circuits & Systems; 2016, p32-37, 6p
Artificial Intelligence (AI) in healthcare promises to improve the accuracy of diagnosis and screening, support clinical care, and assist in various public health interventions such as disease surveillance, outbreak response, and health system manage