Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Andrew Terhorst"'
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 10, Iss 1, Pp 100186- (2024)
Knowledge brokers play a crucial role in open innovation. We use exponential random graph models and qualitative analysis of semi-structured interview data to contrast knowledge brokerage in three open innovation partnerships. Our analysis considers
Externí odkaz:
https://doaj.org/article/c9af60406f444358bf24a2ebf1bc22fd
Autor:
Andrew Terhorst, David Evans
Publikováno v:
Findings (2023)
Volunteering generates a range of benefits for volunteers and the community. A crucial constraint on an individual's capacity to volunteer is the availability of spare time. In this study, we test the hypothesis that workers with longer commute dista
Externí odkaz:
https://doaj.org/article/66b5d85dc03a4e00994efd5629588622
Autor:
Andrew Terhorst, Jason A. Dowling
Publikováno v:
Space: Science & Technology, Vol 2022 (2022)
Terrestrial analogues can provide essential scientific information and technology validation to assist future crewed missions to the Martian surface. This paper analyses the recent literature since 2010 in this area, highlighting key topics, authors,
Externí odkaz:
https://doaj.org/article/a7831af2b02f447f922b68f8b8e996a7
Autor:
Ashley G. Gillman, Febrio Lunardo, Joseph Prinable, Gregg Belous, Aaron Nicolson, Hang Min, Andrew Terhorst, Jason A. Dowling
Publikováno v:
Physical and Engineering Sciences in Medicine
Objectives: To conduct a systematic survey of published techniques for automated diagnosis and prognosis of COVID-19 diseases using medical imaging, assessing the validity of reported performance and investigating the proposed clinical use-case. To c
Autor:
Andrew Terhorst, Robert Garrard
Technological advances are transforming agriculture in many parts of the world. Despite the importance of agriculture to its economy, Australia lags behind other advanced economies in the adoption of digital agricultural technology. The country risks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42e1f9a8fddd39733dba53065f5d2b6e
https://doi.org/10.31235/osf.io/4nge5
https://doi.org/10.31235/osf.io/4nge5
Publikováno v:
Project Management Journal. 49:5-19
Tacit knowledge is considered critical to the success of open innovation projects, yet little is known about the factors that promote or impede tacit knowledge sharing in such projects. This article uses exponential random graph modeling to examine b
Publikováno v:
Critical Reviews in Plant Sciences. 36:71-88
Recent advances in distributed information technologies are providing the means to capture and process abundant data, and to reveal associations between variables describing the crop-environment-management interaction. This review describes the deter
Autor:
Simon Fielke, Aysha Fleming, Cara Stitzlein, Emma Jakku, Andrew Terhorst, Bruce V. Taylor, Justine Lacey
Publikováno v:
Agricultural Systems. 190:103120
CONTEXT Public and private research institutions are grappling with the challenges and opportunities of embedding dimensions of responsible innovation within their research and development programs, including those seeking to transform agricultural p
Autor:
Philip J. Smethurst, Dale Worledge, Craig Baillie, Andrew Terhorst, Ritaban Dutta, Auro C. Almeida, Trenton E. Franz
Publikováno v:
IEEE Sensors Journal. 14:3465-3472
This paper combines data from soil moisture capacitance probes and a cosmic-ray neutron probe in a fuzzy inference system to estimate spatially variable soil moisture in a ∼28 ha circular area at an hourly interval in northeast Tasmania, Australia.
Autor:
Andrew Terhorst, Ritaban Dutta
Publikováno v:
IEEE Sensors Journal. 13:2374-2381
This paper investigates novel supervised machine learning (SML) techniques for bulk soil moisture estimation using cosmic ray sensor. The cosmic ray soil moisture measuring probes are deployed across Australia as a part of CosmOz sensor network. Thes