Results 201 to 210 of about 281,884 (245)

Large language models show Dunning-Kruger-like effects in multilingual fact-checking. [PDF]

Sci Rep
Qazi IA, Khan Z, Ghani A, Raza AA, Qazi ZA, Sajjad W, Ali A, Javaid A, Sohail MA, Azeemi AH.   +9 more
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Ranking-enhanced anomaly detection using Active Learning-assisted Attention Adversarial Dual AutoEncoder. [PDF]

Sci Rep
Benabderrahmane S, Cheney J, Rahwan T.
europepmc   +1 more source

Development and 2025 re-evaluation of a Japanese quality indicator set for adult intensive care: a modified RAND/UCLA Delphi study. [PDF]

J Intensive Care
Kumasawa J, Okamoto H, Naito T, Asaga T, Kimura M, Kotani T, Komatsu Y, Suzuki T, Takahashi T, Takei T, Nishimura M, Hashimoto S, Yamaguchi H, Doi M.   +13 more
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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
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Uncertain linear systems

Fuzzy Optimization and Decision Making, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Bo, Zhu, Yuanguo
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Robust Stabilization of Uncertain Systems

SIAM Journal on Control and Optimization, 1983
In this paper we consider the systems described by \[dx = Axdt + Budt + \sum_i {\sigma _i F_i xd\beta _i } \qquad {\text{or}}\qquad \dot x = Ax + Bu + \sum_i {B_i F_i (x,t)C_i x,} \] and we will derive conditions under which there exists a feedback control law $u = Kx$ such that the closed loop system is stable for all $\sigma _i $ or (smooth ...
Willems, Jacques L., Willems, Jan C.
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