Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Wim, Haeck"'
Autor:
Clara De Ruysscher, Stijn Vandevelde, Stijn Vanheule, Dirk Bryssinck, Wim Haeck, Wouter Vanderplasschen
Publikováno v:
International Journal of Mental Health Systems, Vol 16, Iss 1, Pp 1-13 (2022)
Abstract Background The recovery processes of persons with complex mental health needs take a slow and unpredictable course. Despite the fact that a number of essential building blocks of recovery in this population have been identified (e.g. social
Externí odkaz:
https://doaj.org/article/8312dd32531a4ddb9457f76f7436709e
Autor:
Nicholas Thompson, Jesson Hutchinson, Jennifer Alwin, Alexander Clark, Theresa Cutler, Michael Grosskopf, Wim Haeck, Michal Herman, Noah Kleedtke, Juliann Lamproe, Robert Little, Isaac Michaud, Denise Neudecker, Michael Smith, Travis Smith, Scott Vander Wiel
Publikováno v:
2022 ANS Winter Meeting and Technology Expo, Phoenix, AZ (United States), 13-17 Nov 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d81cd1cc2109ded330f8bde32e2ea973
https://doi.org/10.2172/1923310
https://doi.org/10.2172/1923310
Publikováno v:
Nuclear Data Week(s) 2022, CSEWG Meeting, Upton, Long Island, NY (United States), 31 Oct - Nov 11 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::986329df54818d33176ecde9f3277155
https://doi.org/10.2172/1896439
https://doi.org/10.2172/1896439
Autor:
Jesson Hutchinson, Jennifer Alwin, Alexander Clark, Theresa Cutler, Michael Grosskopf, Wim Haeck, Michal Herman, Noah Kleedtke, Juliann Lamproe, Robert Little, Isaac Michaud, Denise Neudecker, Michael Rising, Travis Smith, Nicholas Thompson, Scott Vander Wiel
Publikováno v:
15.International Conference on Nuclear Data for Science and Technology (ND2022), Held Virtually, Sacramento, CA (United States), 21-29 Jul 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d2bb1070d3e9b45adea0dd8c291f858
https://doi.org/10.2172/1898108
https://doi.org/10.2172/1898108
Autor:
Riley Bulso, Jennifer Alwin, Kristy Spencer, Michael MacQuigg, Raymond Sartor, Jennifer Arthur, Wim Haeck
Publikováno v:
2022 ANS Annual Meeting, Nuclear Criticality Safety Division Topical Meeting (NCSD 2022), Anaheim, CA (United States), 12-16 Jun 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d51ed43feb8e3e4fca1e9f8b7bc95a9
https://doi.org/10.2172/1886302
https://doi.org/10.2172/1886302
Autor:
Jennifer Alwin, Jesson Hutchinson, Noah Kleedtke, Alexander Clark, Theresa Cutler, Wim Haeck, Robert Little, Denise Neudecker, Michael Rising, Travis Smith, Nicholas Thompson
Publikováno v:
2022 ANS Annual Meeting, Nuclear Criticality Safety Division Topical Meeting (NCSD 2022) , Anaheim, CA (United States), 12-16 Jun 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40a127d14d66eab1382c05707e9b0a42
https://doi.org/10.2172/1886301
https://doi.org/10.2172/1886301
Autor:
Denise Neudecker, S. A. Vander Wiel, Wim Haeck, Pavel A. Grechanuk, Patrick Talou, N. Sly, Michael Grosskopf, Michael Evan Rising, M. Herman, A.C. Kahler
Publikováno v:
Nuclear Data Sheets. 167:36-60
We demonstrate how machine learning (ML) techniques can be used as an auxiliary tool for nuclear data validation analysis. The output of the ML analysis can inform evaluators and validators on the quality, or lack thereof, of specific nuclear data an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d80ca51c086fe799e7a09b0e07554268
https://doi.org/10.1016/j.nds.2020.07.002
https://doi.org/10.1016/j.nds.2020.07.002
Autor:
Jennifer Alwin, Alexander Clark, Theresa Cutler, Michael Grosskopf, Wim Haeck, Michal Herman, Jesson Hutchinson, Noah Kleedtke, Juliann Lamproe, Robert Little, Isaac Michaud, Denise Neudecker, Michael Rising, Travis Smith, Nicholas Thompson, Scott Vander Wiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::278d042310366fa104731537c0990ba2
https://doi.org/10.2172/1846880
https://doi.org/10.2172/1846880
