放气 发表于 2025-4-1 01:59:47
Machine Learning Based Smart Health Monitoring System for COVID-19,e is designed to collect data on the most recent COVID-19 symptoms, utilizing machine learning for predictive analysis. Multiple functionalities, including data logging, IoT connectivity with data visualization, and an Email notification system, enhance its utility. Importantly, this prototype remai流动性 发表于 2025-4-1 06:57:23
Intelligent LASSO Regression Modelling for Seaweed Drying Analysis,e performance of these three models was evaluated and compared using the following metrics: RMSE, MAE, MSE, MAPE, R-squared and adjusted R-squared. The result of the study revealed that LASSO regression fits this seaweed drying dataset better and has predictive performance at predicting the seaweedpulmonary 发表于 2025-4-1 12:09:31
A Comparative Analysis of Machine Learning-Based Prediction for Heart Disease Detection, attributes, including Blood Pressure (BP), cholesterol (Chol), electrocardiogram (ECG), and a total number of 1026 data records. The chapter shows that the machine learning model LR achieves accuracy, precision, recall, and F1-score of 85%, 87%, 85%, and 86%, respectively; SVM achieves 85%, 87%, 85Optimum 发表于 2025-4-1 16:39:14
http://reply.papertrans.cn/48/4763/476208/476208_64.pngHEAVY 发表于 2025-4-1 21:23:33
Understanding COVID-19 Recovery Dynamics in the MENA Region: A Geospatial Analysis of Key DeterminaGeographically Weighted Regression (MGWR) model results, indicating their central role in shaping COVID-19 recovery case outcomes in spatial regression models. As the first research exploration in the MENA region, this study and provides valuable insights for future research and public health interv嘴唇可修剪 发表于 2025-4-2 01:00:36
http://reply.papertrans.cn/48/4763/476208/476208_66.pngMAUVE 发表于 2025-4-2 05:55:33
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