Transparent transfer function precomputed rendering diagram. by Yuliang Yuan (4478698)

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Skin transfer function ankle render diagram. by Yuliang Yuan (4478698)

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Bone transfer function pelvis render diagram. by Yuliang Yuan (4478698)

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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…</div><div><br></div><div>The `TAMS` folder contains the necessary files to run the TAMS algorithm. The `main.py` file is the file to be executed using a command of the type `python main.py`. …”

Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

The loss curves of different classification and detection algorithms varying with the iteration number. by Zongchen Li (12476737)

The precision curves of different classification and detection algorithms varying with the iteration number. by Zongchen Li (12476737)

The pseudocode for the NAFPSO algorithm. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”

PSO algorithm flowchart. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”

Unimodal benchmark functions (F1 to F7). by El-Sayed M. El-kenawy (14581088)

Parameters and variables used to generalized cost function. by Zhipeng Huang (1759759)

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Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

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A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

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Visualization of 12 benchmarking functions. by Chuang Zhang (2199421)

“…A levy flight strategy further improves the algorithm’s ability to jump out of local minima. In this paper, 12 benchmark test functions and 8 other newer swarm intelligence algorithms are compared in terms of convergence speed and convergence accuracy to evaluate the performance of the MSIPOA algorithm. …”

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Changes in the target objective function for different confidence levels. by Yangjun Ren (17691912)

Transparent transfer function precomputed rendering result diagram. by Yuliang Yuan (4478698)

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Block diagram of the proposed algorithm for online estimation of non-stationary moving average processes. by Martin Dodek (20623832)

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A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

Analysis of the limit cases of the sampling function. by Greta Grassmann (12418506)

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