Results 51 to 60 of about 107,979 (335)
Comparison between RLS-GA and RLS-PSO For Li-ion battery SOC and SOH estimation: a simulation study [PDF]
, 2017 This paper proposes a new method of concurrent SOC and SOH estimation using a combination of recursive least square (RLS) algorithm and particle swarm optimization (PSO).
Kanarachos, Stratis +2 more
core +4 more sources
Advanced Intelligent Discovery, EarlyView.This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
Power system frequency estimation using linear and nonlinear techniques [PDF]
, 2014 In an electrical power system frequency is an important parameter. The frequency of operation is not constant but it varies depending upon the load conditions.
Shinde, N
core
Estimation of fast fading channel in impulse noise environment [PDF]
, 2002 This paper studies the estimation of fast fading channel in the present of impulse noise. Fast fading channel in wireless communications system is typically modeled as autoregressive (AR) process.
Chan, SC, Fung, CY
core +1 more source
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Distributed Recursive Least-Squares: Stability and Performance Analysis
, 2011 The recursive least-squares (RLS) algorithm has well-documented merits for reducing complexity and storage requirements, when it comes to online estimation of stationary signals as well as for tracking slowly-varying nonstationary processes.
Giannakis, Georgios B., Mateos, Gonzalo
core +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Certified Context-Free Parsing: A formalisation of Valiant's Algorithm in Agda [PDF]
, 2016 Valiant (1975) has developed an algorithm for recognition of context free languages. As of today, it remains the algorithm with the best asymptotic complexity for this purpose.
Bernardy, Jean-Philippe, Jansson, Patrik
core +2 more sources
Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis
Advanced Intelligent Systems, EarlyView.A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang +3 more
wiley +1 more source
Satellite Attitude Control System Simulator
Shock and Vibration, 2008 Future space missions will involve satellites with great autonomy and stringent pointing precision, requiring of the Attitude Control Systems (ACS) with better performance than before, which is function of the control algorithms implemented on board ...
G.T. Conti, L.C.G. Souza
doaj +1 more source