Results 121 to 130 of about 5,926 (266)
Frames for the Solution of Operator Equations in Hilbert Spaces with Fixed Dual Pairing. [PDF]
Numer Funct Anal Optim, 2019 Balazs P, Harbrecht H.
europepmc +1 more source
Small, EarlyView.Ultraviolet photoacoustic microscopy enables label‐free visualization of nuclear morphology in intact human brain organoids. By exploiting endogenous nucleic acid absorption at 266 nm, this approach resolves individual nuclei without staining or sectioning.
Hyunjun Kye +5 more
wiley +1 more source
Relaxed alternating CQ algorithms for the split equality problem in Hilbert spaces. [PDF]
J Inequal Appl, 2018 Yu H, Wang F.
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Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou +4 more
wiley +1 more source
Characterization and stability of approximately dual g-frames in Hilbert spaces. [PDF]
J Inequal Appl, 2018 Fu YL, Zhang W.
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CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li +5 more
wiley +1 more source
Vector Generation of Quantum Contextual Sets in Even Dimensional Hilbert Spaces. [PDF]
Entropy (Basel), 2018 Pavičić M, Megill ND.
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Robust Multi‐Source Batch Normalisation for Test‐Time Batch Adaptation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Test‐Time Batch Adaptation (TTBA) aims to adapt a pre‐trained source model to small, unlabelled target batches at test time. The TTBA methods focus on adapting the pre‐trained model or the target data in a one‐to‐one alignment paradigm. However, these one‐to‐one alignment paradigms assume that the source domain may share the same knowledge ...
Xinlin Xiao +3 more
wiley +1 more source
The complete moment convergence for CNA random vectors in Hilbert spaces. [PDF]
J Inequal Appl, 2017 Ko MH.
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High Voltage, EarlyView.ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li +5 more
wiley +1 more source