Speed limits and gradients from RJ to WYJ. حسب Yunhu Huang (21402795)

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EITO_E speed distance profile. حسب Yunhu Huang (21402795)

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Speed limits and gradient from SJZ to XHM. حسب Yunhu Huang (21402795)

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Parameters of DKZ32. حسب Yunhu Huang (21402795)

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EITO_<i>P</i> with a variable trip time. حسب Yunhu Huang (21402795)

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Video 1_Learning-based control for tendon-driven continuum robotic arms.mp4 حسب Nima Maghooli (21710783)

"…The proposed method employs a customized Modified Transpose Jacobian control strategy for continuum arms, where its parameters are optimally tuned using the Deep Deterministic Policy Gradient algorithm. By integrating an optimal adaptive gain-tuning regulation, the research aims to develop a model-free controller that achieves superior performance compared to ideal model-based strategies. …"

Demographic data of the used datasets. حسب Taslima Khanam (9739867)

"…This framework employs DLRCSP for feature extraction and neural network (NN) algorithm for classification. Our developed method excluded channels with correlation coefficients below 0.5, retaining only significant, non-redundant channels and tested on three real-time EEG-based BCI datasets. …"

The mAP for all algorithms and 80% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

"…<p>The mAP for all algorithms and 80% of the data used for training.</p>…"

The mAP for all algorithms and 50% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

"…<p>The mAP for all algorithms and 50% of the data used for training.</p>…"

The mAP for all algorithms and 60% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

"…<p>The mAP for all algorithms and 60% of the data used for training.</p>…"

Point cloud data registration using the original ICP algorithm. حسب Mengyuan Yan (14200322)

"…<p>Point cloud data registration using the original ICP algorithm.…"

Comparison of results of machine learning prediction models based on imaging and clinical practice. حسب Ningxin Chen (12965441)

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Data and Scripts for 'A Predictive Model for Attention-deficit/hyperactivity Disorder and Its Subtypes in Children: A Back-propagation Neural Network Optimized with Genetic Algorit... حسب Wang (20310746)

"…The present study recruited 316 children aged 6 to 14 years, including 98 with the inattentive subtype, 80 with the combined subtype, and 138 typically developing controls. Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …"

Summary of key parameters used in the CSCAP algorithm. حسب Manxing Shi (22367181)

Base learner parameters. حسب Jingru Dong (14076094)

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Results of each filtering method on the point cloud in the example region(a: September 2023 single epoch point cloud; b: the example region; c: manual filtering results; d: Filteri... حسب Xiaowei Li (620087)

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Features selection using the Boruta algorithm. حسب Nishat Tasnim Thity (21755858)

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Data Sheet 1_Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms.xls حسب Chongkang Yue (19815378)

data_code.zip حسب Mengmeng Gong (20129994)

"…This study introduces a novel inflation algorithm t-X for parameter estimation and validates its feasibility based on theICM used for El Nino and Southern Oscillation (ENSO) simulation and prediction. …"

Comparing AUROC, exploited biases, use cases and issues of Graph Attention Networks on similarity and patient-centric graphs (directed, reversed directed and undirected) for the cl... حسب Daniel Walke (21680915)

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