This editorial overviews the contents of Special Issue “Machine Learning for Energy Systems 2021” and review trends in machine learning (ML) techniques energy system (ES) optimization [...]

background: today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. these types of data are the main indicators in survival prediction of cancer. this study highlights the improvement...

There has been a surge of recent interest in sociocultural diversity machine learning research. Currently, however, there is gap between discussions measures and benefits learning, on the one hand, broader research underlying concepts precise mechanisms its functional benefits, other. This problematic because not monolithic concept. Rather, different are based distinct rationales that should in...

Abstract Recent years have witnessed a growing interest in using machine learning to predict and identify phase transitions (PTs) various systems. Here we adopt convolutional neural networks (CNNs) study the PTs of Vicsek model, solving problem that traditional order parameters are insufficiently able do. Within large-scale simulations, there four phases, confirm all between two neighboring pha...