Depiction of how the label of is assigned as a function of whether are identical (row =), nested (rows ), or partially overlapping (row “else”), and as a function of the labels of... حسب Jordan Moutet (21800145)

Genetic algorithm flowchart. حسب Junjie He (700642)

"…Additionally, sensitivity analysis was conducted to explore the effect of different parameters on the maximum fire risk value that can be covered by a fire station. A compromise coordinated siting scheme with a hierarchy of fire stations can be obtained by solving the proposed model. …"

Algorithm Parameter Setting. حسب Tong Zhou (3770)

"…Therefore, an Improved Dueling Double DQN (D3QN) On-ramp Merging Strategy (IDS stands for the initials of Improved, D3QN, and Strategy) combined with a sine function is proposed, establishing a Vehicle Coordination System (VCS) to guide the merging of vehicles in multi-lane mainline traffic. …"

Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

الموضوعات:

IEEE CEC 2017 benchmark function specifications. حسب Kankan Tang (21474968)

IEEE CEC 2022 benchmark function specifications. حسب Kankan Tang (21474968)

Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms. حسب Ruyi Dong (9038174)

"…<p>Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms.…"

The benchmark functions. حسب Shuhui Yu (1535500)

Benchmark functions. حسب Yun Qi (560401)

Schematic diagram of the G4Hunter scanning principle. حسب Rongxin Zhang (1618159)

The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

G4SNVHunter workflow for identifying variants that affect G4 formation. حسب Rongxin Zhang (1618159)

"…Subsequently, the impact of the variants on the formation potential of the identified G4s will be assessed based on the G4Hunter algorithm (Middle panel). Finally, candidate variants can be filtered and visualized using functions provided by G4SNVHunter to screen out those that can potentially disrupt the formation of G4 structures (Right panel). …"

Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

الموضوعات:

Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

"…When the fluorophores are subjected to an arbitrary excitation photon flux, we apply the model and compute the evolution of the probability mass function (pmf) for each quantum state comprising a fluorophore’s electronic structure, and hence the dynamics of the resulting emission photon flux. …"

Flowchart of a single epoch in the FOX optimization algorithm [10]. حسب Mahmood A. Jumaah (22272371)

Scheduling time of five algorithms. حسب Huichao Guo (14515171)

"…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …"

Convergence speed of five algorithms. حسب Huichao Guo (14515171)

"…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …"