Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Brian Hanlon"'
Autor:
Kent Rosser, Karl Pavey, Nicholas FitzGerald, Anselm Fatiaki, Daniel Neumann, David Carr, Brian Hanlon, Javaan Chahl
Publikováno v:
Remote Sensing, Vol 7, Iss 12, Pp 16865-16882 (2015)
The ability to remotely detect and map chemical vapour clouds in open air environments is a topic of significant interest to both defence and civilian communities. In this study, we integrate a prototype miniature colorimetric chemical sensor develop
Externí odkaz:
https://doaj.org/article/3102ad3a826448a2a76d64d52921fe91
Autor:
Brian Hanlon, Sasa Baskarada
Publikováno v:
Journal of Management Development. 37:333-340
PurposeAlthough corporate portfolio management (CPM) has been a popular tool for strategic management of multi-business portfolios in the private sector since the late 1960s, it has received limited attention in the public sector. Accordingly, empiri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::803201eee4a4d12eeb701bfa6904f043
https://doi.org/10.1108/jmd-04-2017-0107
https://doi.org/10.1108/jmd-04-2017-0107
Autor:
Sasa Baskarada, Brian Hanlon
Publikováno v:
Journal of Advances in Management Research. 14:466-480
Purpose The purpose of this paper is to adapt the traditional corporate portfolio management approach to the strategic management of multi-business portfolios in the public sector. Design/methodology/approach The approach presented in this paper is b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7abe492062c65c52678dd58e1f09ca14
https://doi.org/10.1108/jamr-03-2017-0032
https://doi.org/10.1108/jamr-03-2017-0032
Autor:
Karl David Pavey, Daniel Neumann, David Carr, Anselm Fatiaki, Nicholas John Fitzgerald, Brian Hanlon, Javaan Chahl, Kent Rosser
Publikováno v:
Remote Sensing, Vol 7, Iss 12, Pp 16865-16882 (2015)
Remote Sensing
Volume 7
Issue 12
Pages 16865-16882
Remote Sensing; Volume 7; Issue 12; Pages: 16865-16882
Remote Sensing
Volume 7
Issue 12
Pages 16865-16882
Remote Sensing; Volume 7; Issue 12; Pages: 16865-16882
The ability to remotely detect and map chemical vapour clouds in open air environments is a topic of significant interest to both defence and civilian communities. In this study, we integrate a prototype miniature colorimetric chemical sensor develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20bd9d67dafbea6508d0d34d7f1cbd42
https://doi.org/10.3390/rs71215858
https://doi.org/10.3390/rs71215858
Publikováno v:
Military Operations Research. 19:15-24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a4eeb1d3d41edb4c2b6c143dd816a3f
https://doi.org/10.5711/1082598319415
https://doi.org/10.5711/1082598319415
Autor:
Brian Hanlon, Catherine Forbes
The principle that the simplest model capable of describing observed phenomena should also correspond to the best description has long been a guiding rule of inference. In this paper a Bayesian approach to formally implementing this principle is empl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::5872f164c7c2d26a671e71d71b789b0c
http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2002/wp8-02.pdf
http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2002/wp8-02.pdf
Publikováno v:
Advanced Topics in Artificial Intelligence ISBN: 9783540651383
Australian Joint Conference on Artificial Intelligence
Australian Joint Conference on Artificial Intelligence
We examine the QCM language for qualitative compartmental modelling, along with temporal extensions to that framework (TQCM). We identify translations of QCM and TQCM which are explanatory as well as descriptive, adding to our ability to correctly ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4bde343d009398a55c0b2c7d785108b
https://doi.org/10.1007/bfb0095058
https://doi.org/10.1007/bfb0095058
Autor:
Brian Hanlon
Publikováno v:
San Francisco Chronicle (10/1/2007 to present); 8/23/2017, pA10, 0p