بدائل البحث:
model implementing » model implemented (توسيع البحث), model implementation (توسيع البحث), model representing (توسيع البحث)
python model » action model (توسيع البحث), motion model (توسيع البحث)
model implementing » model implemented (توسيع البحث), model implementation (توسيع البحث), model representing (توسيع البحث)
python model » action model (توسيع البحث), motion model (توسيع البحث)
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81
Code
منشور في 2025"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
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code implementing the finite element method and finite difference method from Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology
منشور في 2025"…This dataset contains code implementing the finite element method based on Kaskade 7 (C++) and code implementing the finite difference method (Python) for the development of hybrid PDE-ODE models aimed at efficiently simulating infection spread in epidemiology. …"
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85
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…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. …"
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86
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…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. …"
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87
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…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. …"
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6. Motif Code Theory
منشور في 2025"…<p dir="ltr">The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). …"
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92
Data features examined for potential biases.
منشور في 2025"…Teams were invited to develop hypotheses, to use tools of their choosing to identify potential sources of bias, and to provide a final report.…"
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93
Analysis topics.
منشور في 2025"…Teams were invited to develop hypotheses, to use tools of their choosing to identify potential sources of bias, and to provide a final report.…"
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Memory monitoring recognition test workflow.
منشور في 2025"…Developed with open-source technology and an interface adaptable to various platforms, the MMRT represents an accessible and efficient tool for psychological evaluation, with innovative potential in the study of reality monitoring.…"