Strong Coupling in Bulk Nanoplasmonic Nanoplatelet Perovskite Scintillators
A bulk scintillating nanocomposite is engineered from CsPbBr3 nanoplatelets and Ag nanocubes to support exciton–plasmon strong coupling under X‐ray excitation. The resulting hybrid polaritonic states appear directly in radioluminescence, opening a route toward polariton‐enabled scintillator design beyond conventional Purcell enhancement.
Michal Makowski +13 more
wiley +1 more source
Probabilistic Camera Distortion Correction Using Deep Gaussian Processes. [PDF]
De Boi I +7 more
europepmc +1 more source
THR-DMPOM model for reliable high-precision evaluation to enhance real-time performance management and optimize resource allocation. [PDF]
Ma Y, Cao L.
europepmc +1 more source
Movement smoothness at term-equivalent age is associated with motor developmental delay in preterm infants. [PDF]
Lee YL +8 more
europepmc +1 more source
Design of modified fractional-order PID controller for lower limb rehabilitation exoskeleton robot based on an improved elk herd hybridized with grey wolf and multi-verse optimization algorithms. [PDF]
Mohammed Ali NS, Saleh MH, Abbas NH.
europepmc +1 more source
Enhancing Digital Breast Tomosynthesis Sinograms via Budget-Constrained PSO-Nelder-Mead: A Vision Transformer Assessment. [PDF]
Rosas-Ordaz LF +5 more
europepmc +1 more source
Identification of ice loads on ship structure using a hybrid regularization strategy. [PDF]
Zhou C +5 more
europepmc +1 more source
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FUZZY GLOBAL SMOOTHNESS PRESERVATION
Studies in Fuzziness and Soft Computing, 2010Here we present the property of global smoothness preservation for fuzzy linear operators acting on spaces of fuzzy continuous functions. Basically we transfer the property of real global smoothness preservation into the fuzzy setting, via some natural realization condition fulfilled by almost all example-fuzzy linear operators.
George Anastassiou
exaly +2 more sources
Global Smoothness Preservation Properties
2016In this chapter we study the problem of partial global smoothness preservation in the cases of max-product Bernstein approximation operator, max-product Hermite–Fejer interpolation operator based on the Chebyshev nodes of first kind and max-product Lagrange interpolation operator based on the Chebyshev nodes of second kind.
Sorin Gal +2 more
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