Fault-tolerant quantum simulation just got 250 times cheaper to run. QuEra Computing and Los Alamos published an architecture ...
aMRC Centre for Global Infectious Disease Analysis and WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, School of Public Health, Imperial College London, London, UK bHealth ...
Multi-Factorial Evolutionary Algorithm With Online Transfer Parameter Estimation (MFEA-II) in Python
This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...
Abstract: This book is intended as a text for a second graduate course in modern control theory. The book primarily concerns Kalman filtering, its extensions, design, and implementation, with the ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Traditional bottom-up (BU) methods estimate methane emissions from oil and gas ...
In this paper, a novel Moth-Flame Optimization (MFO) algorithm, namely MFO algorithm enhanced by Multiple Improvement Strategies (MISMFO) is proposed for solving parameter optimization in Multi-Kernel ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Here, we demonstrate the detection of nanoplastics (NPLs) in flow with stimulated ...
Some of the material on this web page is based upon work supported by the National Science Foundation under Grants SES-0350686, SES-0719055, and . Any opinions, findings and conclusions or ...
BatEst can be used to parameterise low-order battery models from time-series data. Matlab (version R2023a) Optimization Toolbox (version 9.5) System Identification Toolbox (version 10.1) Signal ...
Page last updated July 23 2020 (added Fermín Travi's adaptation of Alan Lee's Python scripts for response-specific meta-d' analysis) The original version of this webpage is archived here. MATLAB files ...
This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal ...
Localization microscopy is a super-resolution imaging technique that relies on the spatial and temporal separation of blinking fluorescent emitters. These blinking events can be individually localized ...
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