Data_Sheet_1_Robust optimization for casualty scheduling considering injury deterioration and point-edge mixed failures in early stage of post-earthquake relief.docx by Yufeng Zhou (3702208)

Predicting the Shear Viscosity of Carbonated Aqueous Amine Solutions and Their Blends by Using an Artificial Neural Network Model by Ali Aminian (9580734)

“…A total of 1682 amine + CO₂ + water viscosity data sets for primary, secondary, and tertiary amines and 220 data points for further accuracy examinations were used. …”

Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP by Xiaoyuan Wang (492534)

Data Sheet 1_AI-driven optimization of dynamic vibration absorbers with hydraulic amplifier and mechanical inerter integration.pdf by Ahmed Shamseldin (19759437)

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

Data_Sheet_1_Predicting total lung capacity from spirometry: a machine learning approach.docx by Luka Beverin (15668825)

Data_Sheet_1_The impact of family urban integration on migrant worker mental health in China.docx by Xiaotong Sun (6535064)

DataSheet1_Estimating the stopping power distribution during proton therapy: A proof of concept.pdf by Veronica Ferrero (13873229)

Data_Sheet_1_Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived paramete... by Kuo-Yang Huang (4470730)

CIAHS-Data.xls by Yingchang Li (22195585)

“…This method identifies inherent natural grouping points within the data through the Jenks optimization algorithm, maximizing between-class differences while minimizing within-class differences37. …”

Table_1_Predicting 24-hour intraocular pressure peaks and averages with machine learning.DOCX by Ranran Chen (3308463)

Table_2_Predicting 24-hour intraocular pressure peaks and averages with machine learning.DOCX by Ranran Chen (3308463)

Table_2_Predicting 24-hour intraocular pressure peaks and averages with machine learning.DOCX by Ranran Chen (3308463)

Table_1_Predicting 24-hour intraocular pressure peaks and averages with machine learning.DOCX by Ranran Chen (3308463)

Table_2_Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters.DO... by Kuo-Yang Huang (4470730)

Table_3_Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters.DO... by Kuo-Yang Huang (4470730)

Table_1_Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters.DO... by Kuo-Yang Huang (4470730)

Presentation_1_Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients.pdf by Simon Krenn (9874167)

Big Data Model Building Using Dimension Reduction and Sample Selection by Lih-Yuan Deng (17081779)

“…To achieve this goal, the selection of training subdata becomes pivotal in retaining essential characteristics of the full data. Recently, several procedures have been proposed to select “optimal design points” as training subdata under pre-specified models, such as linear regression and logistic regression. …”