Datasets collection
This work uses the Netflix Animation Library (https://www.netflix.com/jp/browse/genre/3063) as the data source. The dataset is a high-quality collection of animated works widely used in animation research and development. It…
Category: 7. Maths
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Multiple deception resources deployment strategy based on reinforcement learning for network threat mitigation
In this part, we carry out a series of simulations and give the experimental results of the proposed algorithm. We further prove the superiority of the algorithm by analyzing and comparing with the other baseline algorithms and combining with the…
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Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images
ESRGAN and SAM performance on image enhancement and segmentation
In this article, image enhancement and segmentation of ultrasound ovary image is accomplished with the support of ESRGAN & SAM, as depicted in Fig. 6. The initial row depicts the…
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A diffusion model for inertial based time series generation on scarce data availability to improve human activity recognition
Human activity recognition dataset
To evaluate the model performance, we used the benchmark dataset from Banos et al.33 where they analysed sensor displacement in human activity recognition tasks. This dataset consists of 33 human activities which…
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A quantitative analysis of the use of anonymization in biomedical research
Topol, E. J. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books: New York, (2019).
The “All of Us” Research Program. N. Engl. J. Med. 381, 668–676…
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Menstrual cycle inspired latent diffusion model for image augmentation in energy production
The methodology of this study involves developing and applying the menstrual cycle-inspired latent diffusion model (MCI-LDM) to enhance image augmentation in energy-related applications. The process begins with utilizing several energy datasets,…
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Representing Born effective charges with equivariant graph convolutional neural networks
Reiser, P. et al. Graph neural networks for materials science and chemistry. Commun. Mater. 3, 93 (2022).
Google Scholar
Wu, Z. et al. A comprehensive survey on…
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Water status and plant traits of dry bean assessment using integrated spectral reflectance and RGB image indices with artificial intelligence
The impact of irrigation regimes on measured parameters
A one-way ANOVA revealed that there was a statistically significant effect on all measured parameters and SY of dry bean plants (p < 0.01) due to the deficit irrigation regimes, as shown in…
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Enhanced medical image segmentation using novel level set evolution and efficient optimization
(\(ADMM\)) presents itself as an efficient optimization approach that restructures problems into simplified subparts for better management. This method allows for more efficient therapy of each subproblem, which contributes to the algorithm’s…
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Multi dynamic temporal representation graph convolutional network for traffic flow prediction
The overall framework of the proposed model is illustrated in Fig. 2 and can be broadly divided into five components: the dynamic graph constructor, the main module, the auxiliary module, the multiview fusion module, and the temporal…
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