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matlab-python api  (MathWorks Inc)


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    MathWorks Inc matlab-python api
    Matlab Python Api, 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/matlab+api/pmc12010440__mmc1-3-3-17
    Average 90 stars, based on 1 article reviews
    matlab-python api - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture
    Article Snippet: The MATLAB’s API provides access to variables stored in the workspace.

    Article Title: Calibration of PurpleAir PA-I and PA-II Monitors Using Daily Mean PM 2.5 Concentrations Measured in California, Washington, and Oregon from 2017 to 2021
    Article Snippet: We created a custom R package containing scripts to automate downloads of hourly data using the API for the Mathworks ThingSpeak cloud database for PurpleAir data and compute hourly PM 2.5 concentrations from size-specific particle counts.

    Article Title: Indoor contribution to PM 2 .5 exposure using all PurpleAir sites in Washington, Oregon, and California.
    Article Snippet: Airborne fine particles are a leading cause of morbidity and mortality globally.. In 2017, outdoor air particles were estimated to cause 2.9 million deaths, whereas indoor particles, mostly due to using solid fuels for cooking and heating, were estimated to cause 1.6 million deaths.1 These calculations depend on estimating exposures.. Outdoor exposures can be estimated from regulatory air monitoring sites.


    Article Title: Replace2Self: Self-Supervised Denoising based on Voxel Replacing and Image Mixing for Diffusion MRI
    Article Snippet: Low signal to noise ratio (SNR) remains one of the limitations of diffusion weighted (DW) imaging.. How to suppress the influence of noise on the subsequent analysis about the tissue microstructure is still challenging.. This work proposed a novel self-supervised learning model, Replace2Self, to effectively reduce spatial correlated noise in DW images.

    Article Title: Automated gap-filling for marker-based biomechanical motion capture data.
    Article Snippet: Marker-based motion capture presents the problem of gaps, which are traditionally processed using motion capture software, requiring intensive manual input.. We propose and study an automated method of gap-filling that uses inverse kinematics (IK) to close the loop of an iterative process to minimize error, while nearly eliminating user input.. Comparing our method to manual gap-filling, we observe a 21% reduction in the worst-case gap-filling error (p< 0.05), and an 80% reduction in completion time (p< 0.01).

    Article Title: Implementation of model predictive control in a large-sized, low-energy office building
    Article Snippet: An API to MATLAB® is developed which enables access to parameters and states.

    Article Title: RePower: An LLM-driven autonomous platform for power system data-guided research
    Article Snippet: What kind of API to use depends on the specific application, as for this work, we use MATLAB-python API[S1] to execute the MATLAB code.



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