Disease prediction is greatly challenged by the scarcity of datasets and privacy concerns
associated with real medical data. An approach that stands out to circumvent this hurdle is …

In this study, we present a machine-learning-based approach that focuses on the automatic
retrieval of engraved expiry dates. We leverage generative adversarial networks by …

In this paper, we address the challenge of ensuring safe operations and rescue efforts in
emergency situations, for the sake of a sustainable marine environment. Our focus is on …

Generative Adversarial Networks (GANs) can be used for data augmentation in order to
improve the outcome and performance of machine learning models for automatic …

The combustion stability of solid waste in the incinerator determines the operating efficiency
and pollutant emission concentration of the municipal solid waste incineration (MSWI) …