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matlab r2019a  (MathWorks Inc)


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    Structured Review

    MathWorks Inc matlab r2019a
    Matlab R2019a, 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-r2019a/pmc12274915-19-0-0
    Average 90 stars, based on 1 article reviews
    matlab r2019a - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Virus:

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory.
    Article Snippet: The Ca2+ signals, DF, were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer
    Article Snippet: The evaluation was carried out in MATLAB-R2019a, on a PC with processor Intel Core i7-4500u, 16 GB RAM running memory, in Windows 10, with five separate runtimes.

    Article Title: Supplemental data for the paper “low-complexity detection of small frequency deviations by the generalized LMPU test”
    Article Snippet: Parameters for data collection , All the codes were implemented in MATLAB-R2019a on a system with Intel Core(TM) i7-10TH GEN CPU computer,2.80 GHz..

    Article Title: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
    Article Snippet: The assessment was carried out in MATLAB-R2019a on a PC with Intel Core i7-4500u processor, 16 GB RAM, in Windows 10, with ten individual runtimes.

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory
    Article Snippet: The Ca 2+ signals, ΔF , were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
    Article Snippet: The authors used Matlab-R2019a, a deep learning toolbox, and a deep network designer to design and train a deep learning network ( ). proposes a deep-learning method to detect interpretable diabetic retinopathy.

    Recombinant:

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory.
    Article Snippet: The Ca2+ signals, DF, were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer
    Article Snippet: The evaluation was carried out in MATLAB-R2019a, on a PC with processor Intel Core i7-4500u, 16 GB RAM running memory, in Windows 10, with five separate runtimes.

    Article Title: Supplemental data for the paper “low-complexity detection of small frequency deviations by the generalized LMPU test”
    Article Snippet: Parameters for data collection , All the codes were implemented in MATLAB-R2019a on a system with Intel Core(TM) i7-10TH GEN CPU computer,2.80 GHz..

    Article Title: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
    Article Snippet: The assessment was carried out in MATLAB-R2019a on a PC with Intel Core i7-4500u processor, 16 GB RAM, in Windows 10, with ten individual runtimes.

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory
    Article Snippet: The Ca 2+ signals, ΔF , were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
    Article Snippet: The authors used Matlab-R2019a, a deep learning toolbox, and a deep network designer to design and train a deep learning network ( ). proposes a deep-learning method to detect interpretable diabetic retinopathy.

    Agarose Gel Electrophoresis:

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory.
    Article Snippet: The Ca2+ signals, DF, were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer
    Article Snippet: The evaluation was carried out in MATLAB-R2019a, on a PC with processor Intel Core i7-4500u, 16 GB RAM running memory, in Windows 10, with five separate runtimes.

    Article Title: Supplemental data for the paper “low-complexity detection of small frequency deviations by the generalized LMPU test”
    Article Snippet: Parameters for data collection , All the codes were implemented in MATLAB-R2019a on a system with Intel Core(TM) i7-10TH GEN CPU computer,2.80 GHz..

    Article Title: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
    Article Snippet: The assessment was carried out in MATLAB-R2019a on a PC with Intel Core i7-4500u processor, 16 GB RAM, in Windows 10, with ten individual runtimes.

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory
    Article Snippet: The Ca 2+ signals, ΔF , were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
    Article Snippet: The authors used Matlab-R2019a, a deep learning toolbox, and a deep network designer to design and train a deep learning network ( ). proposes a deep-learning method to detect interpretable diabetic retinopathy.

    DNA Extraction:

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory.
    Article Snippet: The Ca2+ signals, DF, were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer
    Article Snippet: The evaluation was carried out in MATLAB-R2019a, on a PC with processor Intel Core i7-4500u, 16 GB RAM running memory, in Windows 10, with five separate runtimes.

    Article Title: Supplemental data for the paper “low-complexity detection of small frequency deviations by the generalized LMPU test”
    Article Snippet: Parameters for data collection , All the codes were implemented in MATLAB-R2019a on a system with Intel Core(TM) i7-10TH GEN CPU computer,2.80 GHz..

    Article Title: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
    Article Snippet: The assessment was carried out in MATLAB-R2019a on a PC with Intel Core i7-4500u processor, 16 GB RAM, in Windows 10, with ten individual runtimes.

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory
    Article Snippet: The Ca 2+ signals, ΔF , were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
    Article Snippet: The authors used Matlab-R2019a, a deep learning toolbox, and a deep network designer to design and train a deep learning network ( ). proposes a deep-learning method to detect interpretable diabetic retinopathy.

    Plasmid Preparation:

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory.
    Article Snippet: The Ca2+ signals, DF, were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer
    Article Snippet: The evaluation was carried out in MATLAB-R2019a, on a PC with processor Intel Core i7-4500u, 16 GB RAM running memory, in Windows 10, with five separate runtimes.

    Article Title: Supplemental data for the paper “low-complexity detection of small frequency deviations by the generalized LMPU test”
    Article Snippet: Parameters for data collection , All the codes were implemented in MATLAB-R2019a on a system with Intel Core(TM) i7-10TH GEN CPU computer,2.80 GHz..

    Article Title: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
    Article Snippet: The assessment was carried out in MATLAB-R2019a on a PC with Intel Core i7-4500u processor, 16 GB RAM, in Windows 10, with ten individual runtimes.

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory
    Article Snippet: The Ca 2+ signals, ΔF , were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
    Article Snippet: The authors used Matlab-R2019a, a deep learning toolbox, and a deep network designer to design and train a deep learning network ( ). proposes a deep-learning method to detect interpretable diabetic retinopathy.

    Cloning:

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory.
    Article Snippet: The Ca2+ signals, DF, were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer
    Article Snippet: The evaluation was carried out in MATLAB-R2019a, on a PC with processor Intel Core i7-4500u, 16 GB RAM running memory, in Windows 10, with five separate runtimes.

    Article Title: Supplemental data for the paper “low-complexity detection of small frequency deviations by the generalized LMPU test”
    Article Snippet: Parameters for data collection , All the codes were implemented in MATLAB-R2019a on a system with Intel Core(TM) i7-10TH GEN CPU computer,2.80 GHz..

    Article Title: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
    Article Snippet: The assessment was carried out in MATLAB-R2019a on a PC with Intel Core i7-4500u processor, 16 GB RAM, in Windows 10, with ten individual runtimes.

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory
    Article Snippet: The Ca 2+ signals, ΔF , were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
    Article Snippet: The authors used Matlab-R2019a, a deep learning toolbox, and a deep network designer to design and train a deep learning network ( ). proposes a deep-learning method to detect interpretable diabetic retinopathy.

    Software:

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory.
    Article Snippet: The Ca2+ signals, DF, were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer
    Article Snippet: The evaluation was carried out in MATLAB-R2019a, on a PC with processor Intel Core i7-4500u, 16 GB RAM running memory, in Windows 10, with five separate runtimes.

    Article Title: Supplemental data for the paper “low-complexity detection of small frequency deviations by the generalized LMPU test”
    Article Snippet: Parameters for data collection , All the codes were implemented in MATLAB-R2019a on a system with Intel Core(TM) i7-10TH GEN CPU computer,2.80 GHz..

    Article Title: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
    Article Snippet: The assessment was carried out in MATLAB-R2019a on a PC with Intel Core i7-4500u processor, 16 GB RAM, in Windows 10, with ten individual runtimes.

    Article Title: Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory
    Article Snippet: The Ca 2+ signals, ΔF , were displayed as the mean values in various colors and SEM in light grey using IGOR Pro 6.10 (WaveMetrics, Inc., Lake Oswego, OR, USA), as heatmap using Matlab-R2019a (MathWorks, Nidec, MA, USA), or boxplot using GraphPad Prism 8 (GraphPad Software, Inc., San Diego, CA, USA).

    Article Title: An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
    Article Snippet: The authors used Matlab-R2019a, a deep learning toolbox, and a deep network designer to design and train a deep learning network ( ). proposes a deep-learning method to detect interpretable diabetic retinopathy.



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