Type II error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

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Comparison of MPNet and ALAAMEE software for ALAAM estimation. by Alex Stivala (8356257)

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Configurations used in ALAAMs for directed networks. by Alex Stivala (8356257)

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Type I error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

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Example ALAAMEE output. by Alex Stivala (8356257)

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Type II error rate as the number of runs used for each sample is varied. by Alex Stivala (8356257)

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Parameter estimates and estimated standard errors from the EE algorithm. by Alex Stivala (8356257)

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Network descriptive statistics for the Deezer networks. by Alex Stivala (8356257)

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Example ALAAMEE goodness-of-fit output. by Alex Stivala (8356257)

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ZILLNB_Model by Qinhuan Luo (21288548)

“…<p dir="ltr">Acquire latent variables using deep-learning based model implemented in python</p>…”

Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... by Ziyan Jin (21021976)

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PythonForRoyalSociety.py from The formation energy of triple lines by Paul Twine (22587761)

Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model. by Mohanad Faeq Ali (21354273)

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DeepB3Pred - code by Saleh Musleh (22263718)

Steering system model. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”

Braking system model. by Honglei Pang (22693724)

“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”

Code by Baoqiang Chen (21099509)

“…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). …”

RNA Velocity model simulation results. (A) Simulation results for RNA Velocity model without delay ( samples). The simulation is composed of an up-regulation phase (both production... by Ziyan Jin (21021976)

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DeepB3Pred_source_code by Muhammad Arif (17012472)

Advancing Solar Magnetic Field Modeling by Carlos António (21257432)

“…<br><br>We developed a significantly faster Python code built upon a functional optimization framework previously proposed and implemented by our team. …”