Creating Specialized Charts with MATLAB Object-Oriented Programming Read article Related Information Learn more: App Designer Featured Product MATLAB Request Trial Get Pricing Related Videos: How to Develop a Model Class for your Data and Algorithms | Modular Apps in MATLAB, Part 2 ...
PDY prepared datasets, programming in MATLAB, C++, Shell and Perl scripts, and interpreted the results with BBZ. BBZ and AYZ edited the manuscript and introduced the problem initially. Rights and permissions This article is published under license to BioMed Central Ltd. This is an open access ...
Simulink - a MATLAB-based graphical programming environment was used to determine the torques of individual modules. The results of three simulations are presented and discussed. Finally, based on critical observations, the drive and gear for the module of Arm-Z system were selected.Jarek, Micha...
Finally, we applied the model-guided stoichiometric programming strategy to the production optimization of virus-like particles (VLPs) for a highly pathogenic subtype H1N1 of the influenza A virus. We expect the strategy to facilitate developments in advanced vaccine engineering, stem cell engineering,...
All codes that perform the DCA method and C(S)/SF(S) score calculations for this article are written in MATLAB R2019b. The raw codes, LacI family MSAs dataset for the coevolutionary model, aligned sequence files for all 8 original repressors as well as the parameter files used for this...
The MARRMoT master branch has been updated to version 2.1.1. Main changes in MARRMoT v2 compared to v1 include code refactoring to rely on object-oriented programming and speed-ups in the model solving routines. The paper describing these changes was peer reviewed and published in Geoscientific...
In terms of reliability analysis, the proposed framework is illustrated using both crude Monte Carlo and subset simulation. Finally, the covariance matrix adaptation-evolution scheme (CMA-ES), a global search algorithm, or sequential quadratic programming (SQP), a local gradient-based method, is ...
[34] Data-driven approach Implementation of a DT, considering model stability Fault detection of an aircraft engine – Throttle position Emulated in Turbofan Engine System (in MATLAB) Emulated environment Definition of an accurate aero-engine model [35] Data-driven approach Use of DT in socio-econ...
The nonlinear least square fitting functions (cftool or sftool) in Matlab (MathWorks R2010a) was applied to fit the experimental data to parameterize the transfer function models. The fluorometry data of gene expres- sion were first processed in BMG Omega Data Analysis Software (v1.10) and were...
in conjunction with numerical results; (3) images must be subdivided (segmented) into single cells—a difficult task when cells are densely crowded and nuclei have irregular morphologies; (4) diverse image-processing algorithms and data types must be harmonized across research groups and programming ...