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Deep learning-based methods for phenotypic trait extraction in rice panicles. [PDF]
Front Plant SciWang Z +10 more
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Career maturity among Chinese undergraduate nursing students: associations with work values, career decision-making self-efficacy, and locus of control. [PDF]
BMC Med EducZhu W, Wu Q.
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Integrative metabolomics using untargeted UHPLC-MS/MS and chemometrics identifies optimal maturity stage of <i>Moringa oleifera</i> leaves from Kuala Terengganu, Malaysia. [PDF]
PeerJAzlan UK +13 more
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Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg. [PDF]
Front Plant SciMiao R, Li Z.
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Strategy & Leadership, 2001
To maximize the potential for the change to produce positive results, business leaders must appreciate the transformational stages, key interdependencies and interrelationships, and the impact they could have independently or in combination on eventual outcomes.
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To maximize the potential for the change to produce positive results, business leaders must appreciate the transformational stages, key interdependencies and interrelationships, and the impact they could have independently or in combination on eventual outcomes.
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The Maturity of Usability Maturity Models
2017The integration of usability practices in software development is not a straightforward process. In this context, the application of usability maturity models (UMM) in a software organization can provide insightful information to improve such integration.
Carmen L. Carvajal, Ana M. Moreno
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IEEE Aerospace and Electronic Systems Magazine, 2013
Performing fault diagnosis is an extremely difficult problem [1]. Given a complex system and a set of tests or alarm outcomes, the user wants to determine the most likely faulty component. Some of the most common diagnostic algorithms used are rule based, fault dictionaries, and fault trees [2], [3], [4].
Shane Strasser, John Sheppard
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Performing fault diagnosis is an extremely difficult problem [1]. Given a complex system and a set of tests or alarm outcomes, the user wants to determine the most likely faulty component. Some of the most common diagnostic algorithms used are rule based, fault dictionaries, and fault trees [2], [3], [4].
Shane Strasser, John Sheppard
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INCOSE International Symposium, 1994
AbstractIdeally, a systems engineering maturity model, together with a questionnaire and supporting documentation, provides the capability for an organization to do a self assessment of its processes, practices, management, metrics, and quality. It would be a framework for assessing an organization's level of systems engineering maturity.
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AbstractIdeally, a systems engineering maturity model, together with a questionnaire and supporting documentation, provides the capability for an organization to do a self assessment of its processes, practices, management, metrics, and quality. It would be a framework for assessing an organization's level of systems engineering maturity.
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2021
Provides a brand new CISO maturity model, which not only details the various types of CISOs, but also provides a growth and maturity path spanning from the entry-level CISO to the transcendent CISO who combines the best traits of both very technical and very business-oriented CISOs.
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Provides a brand new CISO maturity model, which not only details the various types of CISOs, but also provides a growth and maturity path spanning from the entry-level CISO to the transcendent CISO who combines the best traits of both very technical and very business-oriented CISOs.
openaire +1 more source