Results 271 to 280 of about 1,432,944 (317)

Gaming the unknown: learning to differentiate and respond to uncertainty through a serious game. [PDF]

NPJ Clim Action
Sommerauer WJ, van der Bolt B, Werners S, Smolenaars WJ, van Ree M, Ludwig F.   +5 more
europepmc   +1 more source

Evaluating the Reliability and Accuracy of an AI-Powered Search Engine in Providing Responses on Dietary Supplements: Quantitative and Qualitative Evaluation. [PDF]

JMIR AI
Liu M, Okuhara T, Shirabe R, Nishiie Y, Xu Y, Okada H, Kiuchi T.   +6 more
europepmc   +1 more source

Generalized predictive control based on interval gray model with adaptive buffer operator for pattern-moving systems. [PDF]

Sci Rep
Li N, Xu Z, Li X.
europepmc   +1 more source

Commentary: Synergistic AI-resident approach achieves superior diagnostic accuracy in tertiary ophthalmic care for glaucoma and retinal disease. [PDF]

Front Ophthalmol (Lausanne)
Williams-Gaona K, Corro R.
europepmc   +1 more source

Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models

, 2018
Boris Krämer, Benjamin Peherstorfer, Karen Willcox   +2 more
openalex   +1 more source

SWE, C-TIRADS and AI-assisted diagnostic systems in distinguishing thyroid nodules of different lesion size: Which has better diagnostic performance? [PDF]

Front Endocrinol (Lausanne)
Zhou Y, Li R, Zheng W, Liu Z, Yang J, Wang L.   +5 more
europepmc   +1 more source

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On uncertain systems and uncertain models

Kybernetes, 2012
PurposeThe purpose of this paper is to show which models, uncertain or certain, simple or complicated, are more suitable when they are faced with incomplete information and inaccurate data.Design/methodology/approachThe characteristics of fuzzy mathematics, grey system theory, rough set theory and the basic characteristics of incomplete information and
Sifeng Liu, Keqin Sheng, Jeffrey Forrest
openaire   +1 more source

Stabilization of Uncertain Linear Systems [PDF]

, 1991
Feedback stabilization of linear, uncertain systems is usually analyzed using quadratic Lyapunov functions that are common to all values in the uncertainty set. In this paper we use the alternative classical concept of Laypunov exponents to characterize the precise (exponential) stability regions for systems with contrained linear output feedback.
Colonius, Fritz, Kliemann, Wolfgang
openaire   +1 more source