A typical BCI system depicting the flow and processing of EEG data. by Gursimran Singh (575288)

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Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx by Xuehui Fan (10762662)

Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 8_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 6_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 3_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 4_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

(A) Flowchart of Patient Inclusion Process; (B) Study omics including MRI, accelerometry data, genetic data and lifestyle information. by Andrew Li (411246)

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Results of RF algorithm screening factors. by Jintao Li (448681)

Table 1_Intra- and inter-rater reliability in log volume estimation based on LiDAR data and shape reconstruction algorithms: a case study on poplar logs.docx by Gabriel Osei Forkuo (16752444)

“…The results of this study indicate that, for improved reliability and efficiency, it is essential to automate point cloud segmentation using advanced machine learning and computer vision algorithms. This approach would eliminate the subjectivity in segmentation decisions and significantly reduce the time required for the process.…”

Feature extraction model training process. by Fengning Liang (20927493)

“…Then, it applies a Sand Cat Swarm Optimization (SCSO) algorithm to optimize the weight of pseudo-label data. …”

PRISMA flow diagram for publication selection process. by Richard Apau (19681534)

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<b>Real-Time Classroom Emotion Analysis Using Machine and Deep Learning for Enhanced Student Learning</b> by Prem Kumar Sholapurapu (21638282)

Subjects: “…Artificial intelligence -- Data processing…”

FIS image analysis using the semi-automatic algorithm. by Anna Demchenko (18449439)

Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

(A) PPI network of Co-genes. (B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm.... by Qingcong Zheng (11169094)

“…(B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm. …”

tUbenet Foundation Model Weights by Natalie Holroyd (7099391)