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from implementing » after implementing (Expand Search), _ implementing (Expand Search)
from implementing » after implementing (Expand Search), _ implementing (Expand Search)
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The format of the weights file
Published 2025“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
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The format of the electrode csv file
Published 2025“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
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Jaxkineticmodel allows for hybridizing kinetic models with neural networks.
Published 2025Subjects: -
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Graphical abstract of HCAP.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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Recall analysis.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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Convergence rate analysis.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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Computational efficiency.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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Analysis of IoMT data sources.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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Prediction accuracy on varying attack types.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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<b> </b> Precision analysis.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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Impact of cyberattack types on IoMT devices.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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