Principle of novelty detection in cardiac flow patterns. by Bernhard Vennemann (7434353)

Subjects:

Artificial bee colony algorithm flow based on uniform mapping and collaborative acquisition control. by Jianpeng Zhang (528185)

The optimization result of 10 benchmark functions for different algorithms (D = 10). by Yu Li (183836)

The optimization result of 10 benchmark functions for different algorithms (D = 30). by Yu Li (183836)

IGD values of different algorithms under different standard test functions. by Jun Sun (48981)

The result of CEC2010 standard functions for different algorithms (D = 30). by Yu Li (183836)

The optimization result of 10 benchmark functions for different algorithms (D = 100). by Yu Li (183836)

The convergence curves of the function in different dimensions. by Yu Li (183836)

The results of the Friedman statistical test on 27 functions. by Yu-Jun Zhang (185411)

Subjects:

Penalty functions and estimators for some of the regularized regression methods used in this paper. by Dongsheng Li (222712)

Hyperparameter settings of the algorithm 1. by Jin Xu (31283)

“…Therefore, this paper presents a novel adaptive control structure for the Twin Delayed Deep Deterministic Policy Gradient algorithm, which is based on a reference trajectory model (TD3-RTM). …”

The overall data analysis design and logic flow. by Song Cui (553627)

List of feature selection methods used in the voting algorithm. by Mahmoud Zeydabadinezhad (12289570)

Subjects:

Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

Distribution of DLCO in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

Subjects:

Iterative convergence curves of each algorithm for the CEC2019 benchmark functions. by Guangwei Liu (181992)

Subjects:

Flow of wavelet threshold denoising. by Bingbing Li (461702)

Flow chart of the proposed HHO. by Ting Yang (189879)

Confusion matrix diagram of the original and improved algorithms. by Jia Li (160557)

Subjects:

Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”