In this section, datasets and experimental setup are presented. To evaluate the proposed DG-GAN, a series of experiments are carried out, including comparison of defending against adversarial examples, comparison of generating adversarial…
Category: 7. Maths
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Optoelectronic generative adversarial networks | Communications Physics
Network architecture
The network architecture of OE-GAN is illustrated in Fig. 1a. The system continues the fundamental philosophy of Wasserstein GAN45, which introduces the Wasserstein distance to measure the difference between the distribution…
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Cell-scale atmospheric moisture flows dataset reconciled with ERA5 reanalysis
Data
The atmospheric moisture connection data are sourced from the UTrack dataset14 – openly available at https://doi.org/10.1594/PANGAEA.912710. The UTrack dataset is available for a reference average year y centred on the period 2008-2017, on…
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Assessment of air pollution and mortality in Portugal using AirQ+ and the effects of COVID-19 on their relationship
Changes in air pollution levels over time and predicted health impacts
Table 1 shows the descriptive statistics of concentrations of air pollutants for 2020 and 2021. The results for the entire period (2010–2021) are presented in Table S.2….
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Artificial intelligence-driven microRNA signature for early detection of gastric cancer: discovery and clinical functional exploration
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49.
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The road to commercial success for neuromorphic technologies
Mcculloch, W. S. & Pitts, W. A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophysics 5, 115–133 (1943).
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Turing, A. et al….
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Applied research on innovation and development of blue calico of Chinese intangible cultural heritage based on artificial intelligence
This paper proposes a blue calico product design method based on design data and generative adversarial networks, as illustrated in Fig. 1. The framework comprises five interconnected stages that synergistically integrate traditional artistic…
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Grey wolf optimizer with self-repulsion strategy for feature selection
The following section discusses the datasets, parameter settings, evaluation function, comparison with relevant algorithms, comparison of the performance of improved transfer functions, effectiveness of improved transfer functions, effectiveness…
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Enhancing generative AI reliability via agentic AI in 6G-enabled edge computing
Farquhar, S., Kossen, J., Kuhn, L. & Gal, Y. Detecting hallucinations in large language models using semantic entropy. Nature 630, 625–630 (2024).
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Lewis, P. et al….
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Hybrid of DSR-GAN and CNN for Alzheimer disease detection based on MRI images
Alzheimer’s disease, a progressive brain disorder that causes memory loss and dementia, requires early detection for better management, especially in elderly patients. The proposed system in19 used transfer learning with MRI data to classify…
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