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

F1 results (%) compared among methods, the LACK algorithm cannot work on the GRAZ02 dataset and is replaced with “—”. The best results are highlighted in bold. حسب Hui Yang (91136)

Fusion methods comparison. حسب Wei Liao (166135)

الموضوعات:

Data Sheet 1_Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China.docx حسب Hanyu Zhang (1425250)

"…</p>Methods<p>UAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.…"

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

الموضوعات:

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

الموضوعات:

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

الموضوعات:

Corporate network anomaly detection methodology utilizing machine learning algorithms حسب Nazerke Baisholan (22048322)

Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf حسب Luciana Erika Yaginuma (10477013)

"…Data was analyzed by means of a hybrid machine learning (ML) approach, which combines unsupervised and supervised methods. …"

Data Sheet 1_i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus.docx حسب Sakshi Gautam (10305897)

Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression حسب Francesco Negri (12992994)

الموضوعات:

Data Sheet 1_An individualized risk prediction tool for ectopic pregnancy within the first 10 weeks of gestation based on machine learning algorithms.docx حسب Xin Du (208780)

"…A user-friendly web-based platform was developed for EP risk assessment based on this model. …"

Method comparative analysis. حسب Liangzheng Wu (20501304)

الموضوعات:

Hyperparameters’ setting for PSO algorithm. حسب Feng Shen (151470)

"…<div><p>In this study, the traditional lag structure selection method in the Mixed Data Sampling (MIDAS) regression model for forecasting GDP was replaced with a machine learning approach using the particle swarm optimization algorithm (PSO). …"

Data Sheet 1_The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model.docx حسب Jiaxin Wang (483624)