Results 161 to 170 of about 15,717,904 (337)

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

[Application effects of feedforward control theory in the rollover bed treatment of mass patients with burn-explosion combined injury]. [PDF]

open access: yesZhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi, 2022
Chen HQ   +7 more
europepmc   +1 more source

Multivariable norm optimal iterative learning control with auxiliary optimization

open access: yes, 2013
The paper describes a substantial extension of Norm Optimal Iterative Learning Control (NOILC) that permits tracking of a class of finite dimensional reference signals whilst simultaneously converging to the solution of a constrained quadratic ...
Chu, B., Freeman, C.T., Owens, D.H.
core  

An Introduction to Feedforward Control of Electric Drives

open access: yesAdvances in Electrical and Electronic Engineering, 2010
The field of electric drives provides a broad spectrum of applications with different power demands, utilized motor types or different environment requirements. Lot of applications are characterized by very high demands on accuracy and dynamic properties
Michal Malek   +2 more
doaj  

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang   +3 more
wiley   +1 more source

Machine learning versus traditional formulas for fetal weight estimation: An international multicenter study evaluating prediction accuracy across birth weight percentiles

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To assess whether machine learning (ML) offers improved birth weight prediction accuracy, since despite numerous models, the Hadlock formula remains the clinical standard. Methods A multicenter retrospective study analyzed data from 9674 singleton pregnancies with estimated fetal weight (EFW) within 7 days of delivery.
Omer Dor   +6 more
wiley   +1 more source

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

open access: yesInfoScience, EarlyView.
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim   +7 more
wiley   +1 more source

General‐Purpose Hexagonal Programmable Photonic Integrated Circuit with a >30 GHz Free Spectral Range

open access: yesLaser &Photonics Reviews, EarlyView.
A compact and low insertion loss programmable photonic circuit is demonstrated based on a 7‐cell hexagonal waveguide mesh with a large free spectral range (FSR) of 31 GHz for a 6‐gate ring resonator configuration. Vernier rings and a dual‐injected ring configuration are demonstrated on this circuit with a further improved FSR of 93 GHz.
Yu Zhang   +6 more
wiley   +1 more source

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