IEEE

An Improved Model Predictive Torque Control for Switched Reluctance Motors Based on Variable Hyperbolic Tangent Function Modeling

Abstract: In this article, an improved model predictive torque control (MPTC) method is proposed for switched reluctance motors (SRMs) based on variable hyperbolic tangent function modeling. First, ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
IEEE

A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...
Scientific Research Publishing

Iorgulescua, F. (2012). Backtesting Value-at-Risk: Case Study on the Romanian Capital Market. Procedia—Social and Behavioral Sciences, 62, 796-800. www.sciencedirect.com

ABSTRACT: This study aims to measure the foreign exchange risks that the insurance companies are exposed to. In this context, this study analyzes 7 insurance companies listed in Borsa Istanbul ...
Scientific Research Publishing

Glosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of ...

ABSTRACT: This paper aims at providing an in-depth analysis of forecasting ability of different GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models and finding the best GARCH ...