Publications by authors named "Juan F Sanchez-Perez"
This paper introduces a new latent variable probabilistic framework for representing spectral data of high spatial and spectral dimensionality, such as hyperspectral images. We use a generative Bayesian model to represent the image formation process and provide interpretable and efficient inference and learning methods. Surprisingly, our approach can be implemented with simple tools and does not require extensive training data, detailed pixel-by-pixel labeling, or significant computational resources.
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- The work aims to establish equations connecting exposure time to solar radiation, the ultraviolet index (UVI), and their effects on vitamin D synthesis and sunburns.
- It introduces PROBIT equations to predict how much vitamin D various skin types (I to IV) can produce based on repeated sun exposure and protective measures.
- The findings suggest that balancing skin exposure can help achieve required vitamin D levels of 2000 IU or more while minimizing the risk of sunburn, particularly by adjusting the area of skin that is exposed.
A number of models have been proposed to calculate overpressure and impulse from accidental industrial explosions. When the blast is produced by ignition of a vapour cloud, the TNO Multi-Energy model is widely used. From the curves given by this model, data are fitted to obtain equations showing the relationship between overpressure, impulse and distance.
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