Results 31 to 40 of about 5,821,567 (279)
Evaluation of load forecasting using different models
Measurement: EnergyThis paper addresses a new prediction of load technique that joins the adaptability of RNNs with the capabilities of temporal modelling of Kolmogorov–Arnold Recurrent with good accuracy, because in energy management, load forecasting is essential since ...
Saroj Kumar Panda, Bishwajit Dey
doaj +1 more source
Mean absolute error of all six configurations of SCNN_12.
, 2022 Mean absolute error of all six configurations of SCNN_12.
Sidratul Montaha (13200394) +5 more
core +1 more source
Case Studies in Thermal Engineering, 2023 Due to the complexity and changeable of lithium-ion batteries, we propose a multi-variable and multi-step Temporal neural network to cover this task. Specially, a novel multi-step training strategy is applied to deal with long time sequences, and multi ...
Yufeng Huang, Jian Sun, Lei Xu
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Comparative Analysis Using Multiple Regression Models for Forecasting Photovoltaic Power Generation
EnergiesEffective machine learning regression models are useful toolsets for managing and planning energy in PV grid-connected systems. Machine learning regression models, however, have been crucial in the analysis, forecasting, and prediction of numerous ...
Burhan U Din Abdullah +5 more
doaj +1 more source
Mean, standard deviation and standard error of absolute and signed error (cm).
, 2021 Mean, standard deviation and standard error of absolute and signed error (cm).
Giorgio Colombo (65952) +4 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
New weighted geometric mean method to estimate the slope of measurement error model [PDF]
, 2014 This paper introduces a new weighted geometric mean (WG) estimator to fit regression line when both the response and explanatory variables are subject to measurement errors.
Saqr, Anwar, Khan, Shahjahan
core +1 more source
Media StatistikaAnalysis of gene expression data, particularly in cancer data, often faces challenges due to the presence of missing values. One approach to overcome this is data imputation.
Mastika Mastika +2 more
doaj +1 more source
International Journal of Coal Science & Technology, 2022 Collaborative prediction model of gas emission quantity was built by feature selection and supervised machine learning algorithm to improve the scientific and accurate prediction of gas emission quantity in the mining face.
Jie Zhou +5 more
doaj +1 more source