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supported c/c++ complied programs (mex files)  (MathWorks Inc)


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    MathWorks Inc supported c/c++ complied programs (mex files)
    Supported C/C++ Complied Programs (Mex Files), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mex+program/pmc09643551__41467_2022_33611_MOESM1_ESM-678-33-29
    Average 90 stars, based on 1 article reviews
    supported c/c++ complied programs (mex files) - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Sequential modelling of a full-scale wastewater treatment plant using an artificial neural network.
    Article Snippet: This work proposes a sequential modelling approach using an artificial neural network (ANN) to develop four independent multivariate models that are able to predict the dynamics of biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspended solid (SS), and total nitrogen (TN) removal in a wastewater treatment plant (WWTP).. Suitable structures of ANN models were automatically and conveniently optimized by a genetic algorithm rather than the conventional trial and error method.. The sequential modelling approach, which is composed of two parts, a process disturbance estimator and a process behaviour predictor, was also presented to develop multivariate dynamic models.

    Article Title: Disruption of speech motor adaptation with repetitive transcranial magnetic stimulation of the articulatory representation in primary motor cortex
    Article Snippet: We used a Matlab Mex-based program Audapter ( ; ) to alter speech and play it back to participants in near real time (e.g., with less than a 40 msec delay).

    Article Title: Modeling hindered diffusion of antibodies in agarose beads considering pore size reduction due to adsorption.
    Article Snippet: The aim of this studywork is to model, describe and predict the mass transfer of IgGImmunoglobulin 1 G (IgG) as a functionin dependence of the agarose concentration in the protein A stationary phase, 2 taking into account the influence of adsorption on the pore size.. Therefore, particle size distribution, 3 bed and bead porosities were examined by light microscopy, pressure-flow behavior and iSEC.. Three 4 agarose protein A stationary phases ( 2 wt%, 4 wt%, 6 wt%) were investigated.

    Article Title: Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping
    Article Snippet: The main objective of this paper is to develop an efficient method for learning and reproduction of complex trajectories for robot programming by demonstration.. Encoding of the demonstrated trajectories is performed with hidden Markov model, and generation of a generalized trajectory is achieved by using the concept of key points.. Identification of the key points is based on significant changes in position and velocity in the demonstrated trajectories.

    Article Title: An Investigation of Compensation and Adaptation to Auditory Perturbations in Individuals With Acquired Apraxia of Speech
    Article Snippet: Audapter, a custom-built MEX-based software ( ) written in C++ and run within MATLAB (2014b, The Mathworks Inc.), was used to track and shift formant frequencies in real-time.

    Article Title: A Procedure for Measuring Latencies in Brain–Computer Interfaces
    Article Snippet: The MATLAB version of the data acquisition program was implemented in C++, and used the MATLAB MEX interface.

    Article Title: LRRK2 and GBA Variants Exert Distinct Influences on Parkinson’s Disease-Specific Metabolic Networks
    Article Snippet: Partitioning by this method was conducted using the PACO Matlab mex function ( https://brainetlab.github.io/sections/software/software.html ).

    Article Title: Efficient Monte Carlo Image Analysis for the Location of Vascular Entity
    Article Snippet: Tubular shaped networks appear not only in medical images like X-ray-, time-of-flight MRIor CT-angiograms but also in microscopic images of neuronal networks.. We present EMILOVE (Efficient Monte-carlo Image-analysis for the Location Of Vascular Entity), a novel modeling algorithm for tubular networks in biomedical images.. The model is constructed using tablet shaped particles and edges connecting them.



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