Simulation Results Plot of the EMB System Response: (a) Step response curve of the EMB system; (b) Sine response curve of the EMB system; (c) Steady state error curve of the EMB sy... by Honglei Pang (22693724)

Subjects:

Hyperparameter Configurations in PPO Training. by Honglei Pang (22693724)

Subjects:

Main parameters of steering system. by Honglei Pang (22693724)

Subjects:

HIL test results of low-adhesion road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

Subjects:

Co-simulation architecture. by Honglei Pang (22693724)

Subjects:

Overall framework diagram of the study. by Honglei Pang (22693724)

Subjects:

Braking system model. by Honglei Pang (22693724)

Subjects:

Vehicle parameters. by Honglei Pang (22693724)

Subjects:

HIL test results of curved road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

Subjects:

Comparison of average reward values in various simulation scenarios. by Honglei Pang (22693724)

Subjects:

HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

Subjects:

Results in the performance of the objective function terms obtained by the MbPBO methodology using PSO with respect to the initial parameters in Table 2. by Roberto Castro-Medina (21484990)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

Subjects:

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

A comparison of the original images with the filtered images with the uniform window. by Abeer Aljohani (18497914)

Subjects:

Confusion matrix values for different size of test samples and different choice of random states. by Abeer Aljohani (18497914)

Subjects:

Comparison of the results obtained with the proposed method with other methods in literature. by Abeer Aljohani (18497914)

Subjects:

A comparison of the spectral component of normal and abnormal images combined with the uniform window. by Abeer Aljohani (18497914)

Subjects:

A visual representation of the windows used in the study. by Abeer Aljohani (18497914)

Subjects:

The spectral component of normal peoples and Covid-19 infected peoples. by Abeer Aljohani (18497914)

Subjects: