Results 141 to 150 of about 23,530 (292)
Assessing Capability Complexity Using Enterprise Architecture Framework
Systems Engineering, EarlyView.ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2)
Javad Bakhshi, Mahmoud Efatmaneshnik
wiley +1 more source
Computation of the eigenvalues and eigenvectors of Hermitian matrix
, 2016 This project deals with computation of eigenvalues and eigenvectors of Hermitian positive-semidefinite complex square matrix of order 4. The target is an implementation of computation in language VHDL to field-programmable gate array of type Xilinx Zynq ...
Štrympl, Martin
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Eigenvalues and eigenvectors of macroeconometric models [PDF]
, 1989 The object of this study is twofold. First, we investigate and develop methods that can be used in order to find characteristics and an interpretation in economic theoretical terms of the eigenvalues and eigenvectors that are associated with linear ...
Schoonbeek, Lambert +2 more
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Eigenvalues and eigenvectors of a certain complex tridiagonal matrix family
, 2014 In this paper, we obtain the eigenvalues and eigenvectors of a certaincomplex tridiagonal matrix family in terms of the Chebyshev polynomials of the first ...
Akbulak, Mehmet, Öteleşan, Ahmet
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Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang +4 more
wiley +1 more source
Regional Science Policy &Practice, EarlyView., 2022 Abstract Ecotourism can contribute to the conservation of environmental values, as well as to the development of positive synergies between agents in the tourism sector, tourists and the local population. The growing interest in tourism offers with low environmental impact, which support the local economy, translates into a competitive advantage for ...
Luís Quinta‐Nova, Dora Ferreira
wiley +1 more source
Group Comparison of Eigenvalues and Eigenvectors of Diffusion Tensors. [PDF]
J Am Stat Assoc, 2010 Schwartzman A, Dougherty RF, Taylor JE.
europepmc +1 more source
High Voltage, EarlyView.ABSTRACT A reduced‐order model (ROM) for the temperature field based on time‐space proper orthogonal decomposition (POD) is presented to improve the computational efficiency of transient temperature rise in oil‐immersed power transformers with a complete oil natural convection cooling loop.
Haijuan Lan +5 more
wiley +1 more source
Approximating Eigenvalues and Eigenvectors Using Padé Approximants
, 1993 Design optimization of finite element-based structures can be very compute intensive thus inhibiting interactive design. The research presented here outlines a fast method for approximating eigenvalues and eigenvectors across a wide range of design ...
Bernard, James, Vance, Judy
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