FORECAST MODELLING VIA VARIATIONS IN BINARY IMAGE-ENCODED INFORMATION EXPLOITED BY DEEP LEARNING NEURAL NETWORKS.

Traditional forecasting models fit a function approximation from ColorLogic Parts dependent invariables to independent variables.However, they usually get into trouble when date are presented in various formats, such as text, voice and image.This study proposes a novel image-encoded forecasting method that input and output binary digital two-dimens

The etiology of cholestatic liver disease is complex, with clinical manifestations being nonspecific, and biochemical abnormalities mainly characterized by elevated alkaline phosphatase (ALP) and glutamyl transpeptidase FAST ARTHRITIS PAIN (GGT).Due to the lack of specific symptoms and diverse causes, the diagnosis poses certain challenges.Here, we