Results 181 to 190 of about 197,054 (272)

A Multi‐Criteria and Empirical Study for Determining the Influencing Factors of Generative Artificial Intelligence Adoption in Companies

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT Generative artificial intelligence (GenAI) has emerged as a transformative force across business and society due to its ability to generate new content. This potential to reshape businesses introduces challenges and opportunities, necessitating a deeper understanding of GenAI's impact.
Symone G. S. Alcalá   +3 more
wiley   +1 more source

Assessing Capability Complexity Using Enterprise Architecture Framework

open access: yesSystems 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

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI 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

Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). However, CSP‐based features often exhibit high redundancy and intersubject variability.
Yadi Wang   +4 more
wiley   +1 more source

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