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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

Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction. [PDF]

Biomed Eng Online
Yu X, Hu D, Yao Q, Fu Y, Zhong Y, Wang J, Tian M, Zhang H.   +7 more
europepmc   +1 more source

Local Binary Pattern-Cycle Generative Adversarial Network Transfer: Transforming Image Style from Day to Night. [PDF]

J Imaging
Almohamade A, Kammoun S, Alsolami F.
europepmc   +1 more source

Dual-Stream Contrastive Latent Learning Generative Adversarial Network for Brain Image Synthesis and Tumor Classification. [PDF]

J Imaging
Zafar J, Koc V, Zafar H.
europepmc   +1 more source

Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis. [PDF]

BMC Bioinformatics
Liu Q, Zhou T, Cheng C, Ma J, Hoque Tania M.   +4 more
europepmc   +1 more source

Reservoir Stochastic Simulation Based on Octave Convolution and Multistage Generative Adversarial Network. [PDF]

Sci Rep
Wu X, Fan W, Peng S, Qin B, Wang Q, Li M, Li Y.   +6 more
europepmc   +1 more source

Complex conjugate removal in optical coherence tomography using phase aware generative adversarial network. [PDF]

J Biomed Opt
Bellemo V, Haindl R, Pramanik M, Liu L, Schmetterer L, Liu X.   +5 more
europepmc   +1 more source

Generative Adversarial Networks [PDF]

ACM Computing Surveys, 2022
Zhipeng Cai, Honghui Xu, Yi Pan
exaly   +6 more sources

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Generative Adversarial Networks in Cardiology

Canadian Journal of Cardiology, 2022
Generative adversarial networks (GANs) are state-of-the-art neural network models used to synthesise images and other data. GANs brought a considerable improvement to the quality of synthetic data, quickly becoming the standard for data-generation tasks.
Skandarani, Youssef, Lalande, Alain, Afilalo, Jonathan, Jodoin, Pierre-Marc   +3 more
openaire   +3 more sources