Box plots of different algorithms on CEC2017 test function. by Tengfei Ma (597633)

Subjects:

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Five-fold tests. by Guofeng Qin (11025170)

The convergence curves of the HMMS optimization algorithm based on INFO-KELM and other algorithms. by Qiongfang Zhang (18055134)

The studies using plain radiographs and deep-learning algorithm for screening. by Jung-Wee Park (10689240)

ANOVA was performed to test the differences between the algorithms for each indicator. by Jihui Hu (19812736)

Subjects:

Rerandomization Algorithms for Optimal Designs of Network A/B Tests by Qiong Zhang (172309)

“…Asymptotic distributions of these statistics are derived to guide the specification of parameters in the algorithms. We validate the proposed algorithms using both synthetic and real-world networks.…”

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

DCA curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

ROC curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

Calibration curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset" by Yufeng Ke (16539882)

“…At the top of the code, there are options to set the parameters of the analysis, such as setting the path with the variable “Path”, selecting participants, paradigms and algorithms with the variables “subject”, “stimuli” and “algorithm”, and choosing data length with the variable “Timelength”. …”

Pseudo-code for the study design model. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

F1 score of different ML algorithms on the ASTD test dataset. by Abdelrahman Hamdy (22146220)

Flow chart of INFO algorithm. by Qiongfang Zhang (18055134)

“…The INFO algorithm optimizes kernel parameters and regularization coefficients of KELM, which critically affect its output accuracy. …”

Identification results of four algorithms on test sets for different feature subsets. by Chunliang Jiang (22477803)

ANOVA tests for Benchmark functions. by Yu Liu (6938)

“…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …”

ANOVA tests for CEC2021. by Yu Liu (6938)

“…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …”

CEC2017 test function test results. by Tengfei Ma (597633)

Subjects: