Abstract: The waste and wash waters from vegetable and fruits process industry are categorized with solids and organic component which needs treatment for meeting regular standards in use. Every ...

Abstract: In this age of digital information, theoretical data generation has grown to a level that no person can handle. Thus, several machine learning models are available. Therefore, our aim is to ...

ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP). Conclusion: This ...

The evaluation of sound quality is a significant area of research in audio and acoustics (Lyon, 2003). Traditional methods for assessing vehicle sound quality involve both subjective and objective ...

matrix_tmp[,1] <- (data %>% filter(is_aggregated(Group), is_aggregated(Subgroup)))[[variable]] matrix_tmp[,2] <- (data %>% filter(Group == "A", is_aggregated(Subgroup ...

Efficient and exact traffic flow forecasting is critical for intelligent transportation systems. The number of model generations increases the computational complexity of deep neural network (DNN) ...

2024 MAY 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Fresh data on health insurance are presented in a new report. According to news originating from the ...