The Search process of the genetic algorithm. by Wenguang Li (6528113)

Subjects:

Data Sheet 1_Person-based design and evaluation of MIA, a digital medical interview assistant for radiology.pdf by Kerstin Denecke (11534035)

The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

Subjects:

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”

<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…”

Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”

The weight optimization process. by Guomei Cui (20721578)

“…Secondly, an optimized machine learning algorithm based on decision tree is adopted. …”

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

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)

Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)

Table 1_Early stroke detection through machine learning in the prehospital setting.xlsx by María Ríos Delgado (22004942)

A: The sequence learning setup. by William L. Tong (22238845)

Subjects: