Levy function processing time and deviations from constraint for . by Shikun Chen (14625352)

Rosenbrock function processing time and deviations from constraint for . by Shikun Chen (14625352)

Rastrigin function processing time and deviations from constraint for . by Shikun Chen (14625352)

Rastrigin function processing time and deviations from constraint for . by Shikun Chen (14625352)

Rosenbrock function processing time and deviations from constraint for . by Shikun Chen (14625352)

Levy function processing time and deviations from constraint for . by Shikun Chen (14625352)

Rastrigin function processing time and deviations from constraint for . by Shikun Chen (14625352)

Rosenbrock function processing time and deviations from constraint for . by Shikun Chen (14625352)

Levy function processing time and deviations from constraint for . by Shikun Chen (14625352)

Visual depiction of the PCIA algorithm. by Kayson Fakhar (12890364)

Visual depiction of the MSA algorithm. by Kayson Fakhar (12890364)

Python code, input data, and outputs of Fourier analysis and Dynamic Time Warping from McGlasson et al. by Riley McGlasson (13876874)

“…<h2><strong>NPLD-periodicity</strong></h2> <h4>Written by Riley McGlasson</h4> <h4>A collection of Python functions and Jupyter Notebooks that quantitatively asses similarities between the radar stratigraphy of the Martian NPLD and Korolev crater. …”

DMTD algorithm. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Running memory of the algorithms. by Yanju Zhang (437336)

Workflow from data acquisition to automated diagnostics. by Bernhard Vennemann (7434353)

Comparison of details of different algorithms. by Hao Wu (65943)

“…In the network structure, the PS-UNet++ network is based on the sub-pixel convolution upsampling module, and the UNet++ network is constructed as the feature extraction sub-network of the optimization algorithm to extract more detailed information from the model. …”

Structure of the LMPEC algorithm model. by Hao Wu (65943)

“…In the network structure, the PS-UNet++ network is based on the sub-pixel convolution upsampling module, and the UNet++ network is constructed as the feature extraction sub-network of the optimization algorithm to extract more detailed information from the model. …”

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

“…Finally, we select the T4 L99A and T4 L99A/M102Q decoy sets, containing dozens of binders and experimentally validated nonbinders, to test our approach in distinguishing binders from nonbinders. We illustrate that our new algorithms for searching and scoring have superior performance to rigid receptor CDOCKER as well as AutoDock Vina. …”

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

“…Finally, we select the T4 L99A and T4 L99A/M102Q decoy sets, containing dozens of binders and experimentally validated nonbinders, to test our approach in distinguishing binders from nonbinders. We illustrate that our new algorithms for searching and scoring have superior performance to rigid receptor CDOCKER as well as AutoDock Vina. …”

Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx by Yu Yin (329063)

“…Necroptosis as a type of programmed death plays an important role in the development of IFTA, and in the late functional decline and even loss of grafts. In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…”