An intelligent learning approach for improving ECG signal classification and arrhythmia analysis
Sign Up to like & getrecommendations! Published in 2020 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2019.101788
Abstract: The recognition of cardiac arrhythmia in minimal time is important to prevent sudden and untimely deaths. The proposed work includes a complete framework for analyzing the Electrocardiogram (ECG) signal. The three phases of analysis include… read more here.
Keywords: arrhythmia; classification; learning approach; ecg signal ... See more keywords
An Intelligent Learning and Ensembling Framework for Predicting Option Prices
Sign Up to like & getrecommendations! Published in 2020 at "Emerging Markets Finance and Trade"
DOI: 10.1080/1540496x.2019.1695598
Abstract: ABSTRACT Estimating option prices and implied volatilities are critical for option risk management and trading. Common strategies in previous studies have relied on parametric models, including the stochastic volatility model (SV), jump-diffusion model (JD), and… read more here.
Keywords: option prices; model; intelligent learning; option ... See more keywords
Intelligent Learning Based Active Power Regulation of Wind Turbines Considering Fatigue Reduction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3086108
Abstract: The variability and uncertainty of wind power generation pose severe challenges in balancing supply and demand in real time. To overcome this challenge, one promising solution is to exploit the self-regulation capabilities of wind turbines… read more here.
Keywords: wind turbines; intelligent learning; power; regulation ... See more keywords