Seismic data processing involves techniques to deal with undesired effects that occur during acquisition and pre-processing. These mainly comprise coherent artefacts such as multiples, non-coherent signals electrical noise, loss of signal information at the receivers leads incomplete traces. In past years, there has been a remarkable increase machine-learning-based solutions have addressed afor...

AbstractIn medical applications, weakly supervised anomaly detection methods are of great interest, as only image-level annotations required for training. Current mainly rely on generative adversarial networks or autoencoder models. Those models often complicated to train have difficulties preserve fine details in the image. We present a novel method based denoising diffusion implicit combine d...

The option-pricing problem is always an important part in modern finance. Assuming that the stock diffusion is a constant, some literature has introduced many stock models and given corresponding option pricing formulas within the framework of the uncertainty theory. In this paper, we propose a new stock model with uncertain stock diffusion for uncertain markets. Some option pricing formulas on...