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windows 64-bit standalone executable version  (MathWorks Inc)


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    MathWorks Inc windows 64-bit standalone executable version
    Windows 64 Bit Standalone Executable Version, 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/standalone+executable+version/pm32890865-111-1-9
    Average 90 stars, based on 1 article reviews
    windows 64-bit standalone executable version - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: A novel approach for automated diagnosis of kidney stones from CT images using optimized InceptionV4 based on combined dwarf mongoose optimizer
    Article Snippet: In this study, a novel methodology is proposed to combine deep learning techniques and metaheuristic optimization to enable early diagnosis of patients with kidney stone using CT images.. This approach focuses on the utilization of the InceptionV4 model, a state-of-the-art deep learning architecture known for its outstanding performance in image classification tasks.. To further enhance the performance of InceptionV4, a modified metaheuristic algorithm called Combined Dwarf Mongoose Optimization (CDMO) algorithm is introduced.

    Article Title: Hybrid golden jackal and golden sine optimizer for tuning PID controllers
    Article Snippet: The simulations in this study are performed using Matlab/Simulink on a personal computer with an Intel(R) Core(TM) i5-13500 HX CPU operating at 2.50 GHz, 16 GB of RAM, and a 64-bit operating system.

    Article Title: Application of 2D Extension of Hjorth’s Descriptors to Distinguish Defined Groups of Bee Pollen Images
    Article Snippet: The fully automated algorithm was implemented in MATLAB (9.13.0.2049777, R2022b) and verified based on a desktop computer with AMD Ryzen 9 3900 12-core CPU at 3.1 GHz, 32 GB of RAM, and a Windows-10 64-bit operating system.

    Article Title: Enhancing UWB Indoor Positioning Accuracy through Improved Snake Search Algorithm for NLOS/LOS Signal Classification
    Article Snippet: The experimental platform uses a 64-bit Windows 10 operating system, Matlab R2023b, equipped with a 2.4 GHz CPU and 8 GB of memory.

    Article Title: Optimal planning of photovoltaic and distribution static compensators in medium-voltage networks via the GNDO approach
    Article Snippet: For the computational implementation of the proposed master-slave optimization approach, the MATLAB software (version 2024a) was used on a PC featuring an AMD Ryzen 7 3700 processor (2.3 GHz) and 16 GB of RAM, running on a 64-bit version of Microsoft Windows 10 Single Language.

    Article Title: Numerical investigation of conjugate heat transfer in a partitioned cavity using NiO nanofluid and firefly algorithm
    Article Snippet: Tool:MATLAB 2018a OS:Windows 10 (64-bit) Processor: Intel premium RAM: 8GB RAM

    Article Title: Electroencephalography Emotion Recognition Based on Rhythm Information Entropy Extraction
    Article Snippet: The experiment was carried out on a 64-bit Windows 10 system computer in MATLAB R2020b and Python 3.7.

    Article Title: Detection and counting of Leishmania intracellular parasites in microscopy images
    Article Snippet: The processing was performed using MATLAB (R2019a version) on a computer with an Intel© Core © i7-6700 CPU @ 3.40–3.41 GHz, with 8 GB of RAM and a 64-bit Windows 10 Pro operating system.



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