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matlab code  (MathWorks Inc)


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    MathWorks Inc matlab code
    Matlab Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 171 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/control+software+matlab/MATLAB+Coder/pm40267197-197-40-40
    Average 95 stars, based on 171 article reviews
    matlab code - by Bioz Stars, 2026-09
    95/100 stars

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    other:

    Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators
    Article Snippet: The forward pass of the reference model is independently reimplemented in MATLAB scripts and in manually optimized HLS-based C + + code, while the HDL Coder workflow is used as a comparative baseline.

    Article Title: Method and system for measuring, predicting and optimizing human alertness
    Article Snippet: The algorithms for group-average and individualized predictions were written in MATLAB, translated to C with MATLAB Coder, and then compiled into a native library.

    Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
    Article Snippet: All artificial neural network (ANN) models were converted into fixed-point C code using MATLAB Coder and Embedded Coder toolchains.

    Article Title: Real-time Covid-19 diagnosis on embedded IoT platforms
    Article Snippet: The trained model was converted into an embedded-compatible format using MATLAB Coder and GPU Coder, generating CUDA-accelerated code optimized for the GPU resources available on the NVIDIA Jetson platform.

    Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators.
    Article Snippet: The forward pass of the reference model is independently reimplemented in MATLAB scripts and in manually optimized HLS-based C++ code, while the HDL Coder workflow is used as a comparative baseline.

    Software:

    Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators.
    Article Snippet: AMD’s Vitis Model Composer, integrated as a Simulink add-on, supports rapid prototyping of FPGA-oriented systems [12]. .. Similarly, MATLAB Coder and Hardware Description Language (HDL) Coder facilitate the conversion of algorithms developed in MATLAB into C/C++ or HDL representations, thereby bridging software-oriented models with hardware-oriented implementations [13]. ..

    Article Title: Towards the transformation of MATLAB models into FPGA-Based hardware accelerators
    Article Snippet: AMD’s Vitis Model Composer, integrated as a Simulink add-on, supports rapid prototyping of FPGA-oriented systems . .. Similarly, MATLAB Coder and Hardware Description Language (HDL) Coder facilitate the conversion of algorithms developed in MATLAB into C/C + + or HDL representations, thereby bridging software-oriented models with hardware-oriented implementations . ..

    Blocking Assay:

    Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
    Article Snippet: .. Once trained, the ANN model is exported as a lightweight C-code block using MATLAB CoderTM for embedded deployment. ..



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    Image Search Results


    (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD‐fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.

    Journal: Epilepsia Open

    Article Title: Intrinsic brain network stability during kainic acid‐induced epileptogenesis

    doi: 10.1002/epi4.70002

    Figure Lengend Snippet: (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD‐fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.

    Article Snippet: Group‐level BOLD‐fMRI data were analyzed using GICA in the Group ICA of FMRI Toolbox (GIFT) Matlab software to identify MNs during brain resting state.

    Techniques: Control

    Configuration of the 2PLM imaging setup with an LC-SLM. M1- M7: mirrors; HWP: half-wave plate; P: polarizer; EOM: electro-optic modulator; SH: shutter; PH: pinhole; L1 - L4: lenses; LC-SLM: liquid crystal spatial light modulator; IR: iris diaphragm; GM: galvo mirrors; SL: scan lens; TL: tube lens; DM: dichroic mirror; OL: objective lens (20X); EFs: emission filters; PMTs: photomultiplier tubes; CAM: CMOS camera. The vortex mask (topological charge m = 5 used as an example) is combined with a blazed grating mask when projected onto the LC-SLM to separate the torus focal spot (1 st order) from the 0 th order of LC-SLM diffraction.

    Journal: Biomedical Optics Express

    Article Title: Out-of-focus signal rejection for in vivo pO 2 measurements using two-photon phosphorescence lifetime microscopy

    doi: 10.1364/BOE.532084

    Figure Lengend Snippet: Configuration of the 2PLM imaging setup with an LC-SLM. M1- M7: mirrors; HWP: half-wave plate; P: polarizer; EOM: electro-optic modulator; SH: shutter; PH: pinhole; L1 - L4: lenses; LC-SLM: liquid crystal spatial light modulator; IR: iris diaphragm; GM: galvo mirrors; SL: scan lens; TL: tube lens; DM: dichroic mirror; OL: objective lens (20X); EFs: emission filters; PMTs: photomultiplier tubes; CAM: CMOS camera. The vortex mask (topological charge m = 5 used as an example) is combined with a blazed grating mask when projected onto the LC-SLM to separate the torus focal spot (1 st order) from the 0 th order of LC-SLM diffraction.

    Article Snippet: The MATLAB-based control software of 2PLM used in the work is also available online [ ].

    Techniques: Imaging

    Examples of in vivo phosphorescence lifetime measurements for intravascular pO 2 from various locations in pial arterioles and venules obtained using 2PLM. (a) A survey image was acquired to select pO 2 imaging locations. Two locations (1 and 2) were selected in arterioles, and the other two locations (3 and 4) were selected in venules. Scale bar: 100 µm. P.C.: Photon counts. (b) Phosphorescence decays (dotted lines) acquired from the selected four locations in (a) with 2000 laser excitation cycles, and their corresponding lifetime and pO 2 values.

    Journal: Biomedical Optics Express

    Article Title: Out-of-focus signal rejection for in vivo pO 2 measurements using two-photon phosphorescence lifetime microscopy

    doi: 10.1364/BOE.532084

    Figure Lengend Snippet: Examples of in vivo phosphorescence lifetime measurements for intravascular pO 2 from various locations in pial arterioles and venules obtained using 2PLM. (a) A survey image was acquired to select pO 2 imaging locations. Two locations (1 and 2) were selected in arterioles, and the other two locations (3 and 4) were selected in venules. Scale bar: 100 µm. P.C.: Photon counts. (b) Phosphorescence decays (dotted lines) acquired from the selected four locations in (a) with 2000 laser excitation cycles, and their corresponding lifetime and pO 2 values.

    Article Snippet: The MATLAB-based control software of 2PLM used in the work is also available online [ ].

    Techniques: In Vivo, Imaging