Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

Transient response of different algorithms-based 2-DOF PIDA controllers. by Erdal Eker (19251018)

Adopted parameter ranges and the obtained best parameters via different algorithms. by Erdal Eker (19251018)

The flowchart of QLDE algorithm. by Guanqun Wang (705958)

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Quantitative results of three algorithms. by Zahoor Jan (20077515)

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Various depictions of figures can be created using different software using the same data. by Hector Torres (11708207)

Comparison of PCQI, IQE, and IQM experimental results using different methods. by Cheng-jie Chen (22272090)

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Performance of MDEM algorithms as percentage of the best algorithms in stratified k-fold for Wisconsin breast cancer dataset. by Ahmed Mehedi Nizam (8661468)

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The flow chart of the PPO algorithm. by Qichao Wang (5132438)

“…Training the controller model between grinding force difference and end-effector compensation displacement using the proximal policy optimization algorithm. …”

Comparative overview of all DL and ML algorithms parameters in used in this study. by Khandaker Mohammad Mohi Uddin (13124356)

Comparison of denoising performance of IMU acquisition signals using different methods. by Linzhi Xie (18312640)

MAPR of GPT compared with optimal algorithm. by Ali Abir Shuvro (21982871)

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Errors from the LLM and simulated algorithms. by Ali Abir Shuvro (21982871)

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Cluster evaluation index comparison chart of different algorithms on UCI datasets: (a)–(c). by Qin Zheng (459608)

The silhouette coefficient obtained by the DKCDC algorithm under different parameters <i>r</i>. by Qin Zheng (459608)

Precision and recall scores of different algorithms using stratified k-fold cross validation technique for Wisconsin breast cancer dataset. by Ahmed Mehedi Nizam (8661468)

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Dataset: "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR" by Lucas McCullum (16521828)

“…<p dir="ltr">For the paper "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using Synthetic MR" found at: <a href="https://doi.org/10.1101/2025.01.10.25319895" rel="noreferrer" target="_blank">https://doi.org/10.1101/2025.01.10.25319895</a></p><p dir="ltr">This dataset contains the ground truth segmentations from three expert annotators (v1, v2, v3) for the left parotid, right parotid, left submandibular, and right submandibular gland. …”

Comparison of the rotor-side phase-A current at 1.2 times the nominal voltage after optimization using the different algorithms. by Yanling Lv (327106)

“…<p>Comparison of the rotor-side phase-A current at 1.2 times the nominal voltage after optimization using the different algorithms.</p>…”

Receiver operating characteristic (ROC) curves were used to evaluate the top 5 EP-DEGs with the most occurrence in different algorithms. by Shasha He (833918)

“…<p>Receiver operating characteristic (ROC) curves were used to evaluate the top 5 EP-DEGs with the most occurrence in different algorithms.…”

F1 scores and MCCs of different algorithms using k-fold cross validation technique for Wisconsin breast cancer dataset. by Ahmed Mehedi Nizam (8661468)

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