Short-term load forecasting is crucial for the operations planning of an electrical grid.Forecasting the next 24 h of electrical load in a Seat Roller grid allows operators to plan and optimize their resources.The purpose of this study is to develop a more accurate short-term load forecasting method utilizing non-linear autoregressive artificial ne
Over the last few years, the malware propagation on PC platforms, especially on Windows OS has been even severe.For the purpose of resisting a large scale of malware Side View Camera variants, machine learning (ML) classifiers for malicious Portable Executable (PE) files have been proposed to achieve automated classification.Recently, function call
Abstract Background Most virus detection methods are geared towards the detection of specific single viruses or just a few known targets, and lack the capability to uncover the novel viruses that cause emerging viral infections.To address this issue, we developed a computational method that identifies the conserved viral sequences at the genus leve
: Nowadays, organizations are faced with a multitude of project and investment opportunities.Despite the importance of various criteria, complexity of multi-objective models and weakness of optimization algorithms often compelled manager to limit the selection criteria or only suffice to Hammocks financial objects.In this paper, it is endeavored to