Abstract Multiplicative noise removal is of momentous significance STAIN REMOVER in coherent imaging systems and various image processing applications.This paper proposes a new nonconvex variational model for multiplicative noise removal under the Weberized total variation (TV) regularization framework.Then, we propose and investigate another surro
Circular RNAs (circRNAs) are highly stable RNA molecules that are attractive templates for expression of therapeutic proteins and non-coding RNAs.In eukaryotes, circRNAs are primarily generated by the spliceosome through backsplicing.Here, we interrogate different molecular elements including intron type and length, Alu repeats, internal ribosome e
Demand-side management (DSM) includes various persuasive measures to improve the use of energy; thus, it has been studied from various perspectives in the literature.Nowadays, the context of productivity has an important role in the evaluation of the electrical energy Blankets systems.Accordingly, this paper presents a platform to comprehensively c
Heart disease is the main cause of death which can be diagnosed using an electrocardiogram.This study aims to classify heart defects using the Fuzzy C Means technique.The advantage of using Fuzzy C Means is that it is unsupervised and can reach a convergent cluster center under certain conditions.It is a clustering vibrating-cockrings model that ha
The next generation Hurricane Analysis and Forecast System (HAFS) has been developed recently in the National Oceanic and Atmospheric Administration (NOAA) to accelerate the improvement of tropical cyclone (TC) forecasts within the Unified Forecast System (UFS) framework.The finite-volume cubed sphere (FV3) based convection-allowing HAFS Stand-Alon