Results 141 to 150 of about 562,872 (260)
Quaternions and Hadamard Matrices [PDF]
openaire +1 more source
Abstract In hydrological research, data assimilation (DA) is a powerful tool for integrating observational data with numerical models, significantly enhancing predictive accuracy. However, nonlinear groundwater systems often exhibit high‐dimensional and non‐Gaussian characteristics in observations, parameters, and state variables, posing substantial ...
Lei Yao +5 more
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A quantum approximate optimization method for finding Hadamard matrices. [PDF]
Suksmono AB.
europepmc +1 more source
Pseudo-Hadamard matrices [PDF]
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Addressing ecological challenges from a quantum computing perspective
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet +2 more
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Circulant Hadamard matrices and Hermitian circulant complex Hadamard matrices
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Cointegrating Polynomial Regressions With Power Law Trends
ABSTRACT The common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends.
Yicong Lin, Hanno Reuvers
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Enhanced Sensitivity and Resolution in Biomolecular CEST NMR Experiments Using the Extended Hadamard Encoding Scheme. [PDF]
Kim J +6 more
europepmc +1 more source
Kidney Tumor Segmentation With a Multistage Adaptive Boundary‐Aware Network
This study introduces MABS‐Net, a multistage adaptive boundary‐aware network for kidney tumor segmentation. By integrating boundary‐aware multiscale feature extraction, a three‐stage cascaded architecture, and contrastive learning with online hard example mining, this model effectively captures subtle edge cues and boosts tissue discrimination.
Ruoyu Wu, Jing Shi, Jitao Zhou
wiley +1 more source

