Results 71 to 80 of about 13,618 (198)
Advanced Science, Volume 13, Issue 2, 9 January 2026.This study demonstrates a machine learning framework that predicts the primary particle size of Lithium‐rich Nickel‐Cobalt‐Manganese (Li‐rich NCM) materials from synthesis conditions, even with incomplete literature data. By combining chemistry‐aware imputation with uncertainty‐quantified modeling, it identifies sintering temperature and time as ...
Benediktus Madika +6 more
wiley +1 more source
Two-Hop Routing with Traffic-Differentiation for QoS Guarantee in Wireless Sensor Networks [PDF]
, 2014 This paper proposes a Traffic-Differentiated Two-Hop Routing protocol for Quality of Service (QoS) in Wireless Sensor Networks (WSNs). It targets WSN applications having different types of data traffic with several priorities.
Iyengar, S S +4 more
core +1 more source
Violation duration as a better way of VaR model evaluation : evidence from Turkish market portfolio [PDF]
Financial crisis those we have been experienced during last two decades encouraged the efforts of both academicians and the market participants to develop clear representations of the risk exposure of a nancial institute.
Kilic, Ekrem
core +1 more source
Revista de Economia Mackenzie, 2011 O presente trabalho tem como objetivo explorar diferentes modelos de estimativa da distribuição conjunta de fatores para risco de mercado, com ênfase nos modelos ortogonais. Foram explorados cinco modelos: 1.
João Luiz Chela +2 more
doaj
Value at Risk Models in the Indian Stock Market [PDF]
This paper provides empirical tests of different risk management models in the Value at Risk (VaR) framework in the Indian stock market. It is found that the GARCH-GED (Generalised Auto-Regressive Conditional Heteroscedasticity with Generalised Error ...
Varma, Jayanth R.
core
IEEE Access, 2019 One-sided exponential exponentially weighted moving average (EWMA) charts are useful tools for monitoring high-quality processes. Average run length ($ARL$ ) is usually used as the only criterion to evaluate the performance of a control chart.
Yulong Qiao +3 more
doaj +1 more source
Autoregressive Time Series Forecasting of Computational Demand
, 2007 We study the predictive power of autoregressive moving average models when forecasting demand in two shared computational networks, PlanetLab and Tycoon.
Sandholm, Thomas
core +1 more source
International Journal of Automation and Smart Technology, 2011 Recently, the Exponentially Weighted Moving Average (EWMA) controller has become a popular control method in Run-to-Run (RtR) process control, but the issue of measurement noise from metrology tools has not been addressed in RtR EWMA controllers yet ...
Tzu-Wei Kuo, An-Chen Lee
doaj +1 more source
A note on forecasting demand using the multivariate exponential smoothing framework
, 2014 Simple exponential smoothing is widely used in forecasting economic time series. This is because it is quick to compute and it generally delivers accurate forecasts.
Poloni, Federico, Sbrana, Giacomo
core +1 more source
Journal of Infection and Public Health, 2018 Background: Real time detection of influenza outbreaks is necessary by public health authorities. The aim of this study was to determine the performance of the Exponentially Weighted Moving Average (EWMA) in detection of influenza outbreaks in Iran from ...
Manoochehr Solgi +2 more
doaj +1 more source