Desert segmentation of remote sensing images is the basis of analysis of desert area.Desert images are usually characterized by large image size, large-scale change, and irregular location distribution of surface objects.The multi-scale fusion method is widely used in the existing deep learning segmentation models to solve the above problems.Based
Abstract: The petrochemical industry has played a considerable role in generation and release of waste in read more the environment.Activated sludge and facultative lagoons are commonly used for domestic and industrial wastewater treatment due to their low-cost and minimal need for operational requirements.Microorganisms present in wastewater treat
altitude sunscreen This paper presents an intelligent system for the detection of non-technical losses of electrical energy associated with the fraudulent behaviors of system users.This proposal has three stages: a non-supervised clustering of consumption profiles based on a hybrid algorithm between self-organizing maps (SOM) and genetic algorithms
Summary: Many autoimmune disorders exhibit flares in which symptoms erupt and then decline, as exemplified by multiple sclerosis (MS) in its relapsing-remitting form.Existing mathematical models of autoimmune flares often assume regular oscillations, failing to capture replica beach walk candle the stochastic and non-periodic nature of flare-ups.We