BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories حسب Elizaveta Mukhaleva (20602550)

"…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"

The format of the electrode csv file حسب Joseph James Tharayil (21416715)

"…To our knowledge, this is the first application of this generalized (i.e., non-dipolar) reciprocity-based approach to simulate EEG recordings. We use these tools to calculate extracellular signals from an <i>in silico</i> model of the rat somatosensory cortex and hippocampus and to study signal contribution differences between regions and cell types.…"

The format of the simulation reports حسب Joseph James Tharayil (21416715)

"…To our knowledge, this is the first application of this generalized (i.e., non-dipolar) reciprocity-based approach to simulate EEG recordings. We use these tools to calculate extracellular signals from an <i>in silico</i> model of the rat somatosensory cortex and hippocampus and to study signal contribution differences between regions and cell types.…"

The format of the weights file حسب Joseph James Tharayil (21416715)

"…To our knowledge, this is the first application of this generalized (i.e., non-dipolar) reciprocity-based approach to simulate EEG recordings. We use these tools to calculate extracellular signals from an <i>in silico</i> model of the rat somatosensory cortex and hippocampus and to study signal contribution differences between regions and cell types.…"

Tracking module training details. حسب Khelina Fedorchuk (19130089)

Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions حسب Zahir Barahmand (18008947)

"…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…"

Memory monitoring recognition test workflow. حسب Pedro C. Martínez-Suárez (21192459)

"…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …"

Voice recognition workflow. حسب Pedro C. Martínez-Suárez (21192459)

"…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …"

Memory monitoring recognition test main screen. حسب Pedro C. Martínez-Suárez (21192459)

"…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …"

Task descriptions. حسب Pedro C. Martínez-Suárez (21192459)

"…</p><p>Method</p><p>The MMRT was developed using Python and Kivy, facilitating the creation of cross-platform user interfaces. …"

Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" حسب Tian-Ren Jin (18781930)

"…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". We numerically simulate the bias of noisy probabilistic error cancellation with noisy Pauli operations and the bias of error model violation.…"

Probabilities of normal and various cyber attack types over time sequence. حسب Mohanad Faeq Ali (21354273)

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Graphical abstract of HCAP. حسب Mohanad Faeq Ali (21354273)

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Recall analysis. حسب Mohanad Faeq Ali (21354273)

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FPR and FNR analysis based on varying cyber attack types. حسب Mohanad Faeq Ali (21354273)

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Analysis of IoMT data sources. حسب Mohanad Faeq Ali (21354273)

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Prediction accuracy on varying attack types. حسب Mohanad Faeq Ali (21354273)

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<b> </b> Precision analysis. حسب Mohanad Faeq Ali (21354273)

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Convergence rate analysis. حسب Mohanad Faeq Ali (21354273)

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Computational efficiency. حسب Mohanad Faeq Ali (21354273)

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