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matlab-based graphical user interface (gui)  (MathWorks Inc)


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    MathWorks Inc matlab-based graphical user interface (gui)
    Matlab Based Graphical User Interface (Gui), 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/based+graphical+user+interface+(gui)/pm40428625-54-7-5
    Average 90 stars, based on 1 article reviews
    matlab-based graphical user interface (gui) - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Defecation Warning Monitor Based on ScAlN Piezoelectric Ultrasonic Transducer (PMUT).
    Article Snippet: The software system utilizes a MATLAB-based graphical user interface (GUI) and processes the bowel sound signals in real time using a second-order Butterworth bandpass filter (passband: 100–1200 Hz) for visualization.

    Article Title: Prediction of compressive strength of concrete using multilayer perception network, generalized feedforward network, principal component analysis network, time lagged recurrent network, recurrent network
    Article Snippet: The present work aimed to study the artificial neural network (ANN) and its effectiveness for prediction of compressive strength (fc).. Genetic algorithm (GA) was used for optimization of five different types of ANN networks viz. multilayer Perception network (MLP), generalized feedforward network (GFF), principal component analysis network (PCA), time lagged recurrent networks (TLRN), recurrent networks (RN).. A 272 data set of fc was obtained from the various literatures and used for training, testing and validation.

    Article Title: Skin color independent flow-based diffuse optical imaging
    Article Snippet: A graphical user interface (GUI) (e.g., a Matlab-based GUI) can be used to automate spatio-temporal acquisition of diffusedly reflected signals from the NIROS device.

    Article Title: Advancing automated digital pathology by rapid spectral imaging and AI for nuclear segmentation
    Article Snippet: The labeling algorithms are based on a Graphical User Interface (GUI) that we developed based on MATLAB (Version 9.11.0.1769968 (R2021b)) that allows the user to label the nuclear region of interest (ROI).

    Article Title: Skin color independent flow-based diffuse optical imaging
    Article Snippet: A graphical user interface (GUI) (e.g., a Matlab-based GUI) can be used to perform image analysis of the diffusely acquired NIR signals.

    Article Title: Breath-Holding as a Stimulus to Assess Peripheral Oxygenation Flow Using Near-Infrared Spectroscopic Imaging
    Article Snippet: The LED driver was optimized such that the source intensity and wavelength were stable during the dynamic imaging sessions up to 8 min. A Matlab-based graphical user interface (GUI) is used to automate spatio-temporal acquisition of diffusedly reflected signals from the NIROS device.

    Article Title: Contactless ultrasound droplet manipulation system for mixing chemical reagents.
    Article Snippet: Green chemistry has been a rising topic in environmental sustainability, with a focus on the waste and consumption reduction of chemical and biomedical industries.. Traditional chemical handling processes require tools that contact chemical reagents to produce vast amounts of residues and disposals.. This study presents a contactless chemical mixing system that integrates acoustic droplet ejection and levitation techniques.

    Article Title: New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire vulnerability map
    Article Snippet: Forest fires significantly disrupt global ecosystems.. Many forecasting techniques predict fire activity and allocate prevention resources, but various factors are missing from the assessments, and multi-criteria decision approaches alone are insufficient.. This work introduced a novel methodology combining artificial neural networks (ANN) with the analytical hierarchy process (AHP), fuzzy AHP multi-criteria methods, and spatial data to detect potential forest fire vulnerability areas using twenty variables.



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