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

Subjects:

Video 1_Learning-based control for tendon-driven continuum robotic arms.mp4 by 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. by 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. by 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. by 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. by 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. by 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. by 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... by 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. by Manxing Shi (22367181)

Base learner parameters. by 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... by Xiaowei Li (620087)

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Features selection using the Boruta algorithm. by 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 by Chongkang Yue (19815378)

data_code.zip by 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... by Daniel Walke (21680915)

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Data generation algorithm. by Aluwani Ramalata (21262977)

code&data by Liyuan Liu (18298084)

“…It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. …”

Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

Visual representation of how Cell-TRACTR uses track queries to track cells and detect divisions. by Owen M. O’Connor (11965460)

Subjects: “…existing architectures developed…”