Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution" حسب Xianqi Jiang (9391832)

"…To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. …"

Table 12. Prediction of PO Property of Test Data Using Various Algorithms..docx حسب Negar kheirkhahan (19570372)

Data fitting and inferences of time-dependent parameters for BC using the VOCs-INN algorithm. حسب Wenxuan Li (2566450)

CNOT encoded features and CZ encoded features. حسب Danish ul Khairi (19660534)

Comparison of ROI masks generated using different algorithm parameters. حسب Virgil Christian Garcia Castillo (19688355)

The AUC of each model was calculated using 113 ML algorithm. حسب Xuefen Lin (17785367)

Comparisons of the measured and simulated data of phenological stages (day of year) using the different algorithms, calibration data, and evaluation data. حسب Yonghui Zhang (279832)

الموضوعات:

Framework of the proposed algorithm. حسب Jia Li (160557)

الموضوعات:

Parameters of the SVM algorithm with Gaussian kernel used to generate the predictive model. حسب M. Isabel Ramos (20565201)

Somatostatin (Parent compound) and major metabolites identified using both algorithms. حسب Paula Cifuentes (22050278)

الموضوعات:

Error metrics of each regression algorithm using 2021 as control year. حسب M. Isabel Ramos (20565201)

Predictive factors affecting hepatitis patients survival results via application of the machine learning methods حسب Xiaohua Li (311008)

"…Machine learning models help predict hepatitis risks using patient data, symptoms, and history. This study used Decision Tree Classification (DTC) and Extreme Gradient Boosting Classification (XGBC) with three optimizers Rhizotomy Optimization Algorithm (ROA), Gold Rush Optimizer (GRO), and Motion-Encoded Electric Charged Particles Optimization Algorithm (MEPO) to enhance accuracy. …"

Comparison of LSTM parameters and errors before and after using PSO algorithm. حسب Xiaohua Zeng (793632)

Decision tree algorithms. حسب Mahbub E. Sobhani (22278967)

"…We have used Random Forest, Bagging, and Boosting (AdaBoost) algorithms and have compared their performances. …"

List of symbols used in this study. حسب Yonghui Zhang (279832)

الموضوعات:

The selection algorithm flowchart. حسب Shiyu Wang (813972)

الموضوعات:

Overview of the TWRCI algorithm. حسب Eric V. Strobl (16854789)

الموضوعات:

The accuracy of all employed learning algorithms. حسب Quan Shao (20148209)

Test data for Map 3. حسب Qingling Zhang (758713)

"…Initially, historical observations are fused by incorporating a Gated Recurrent Unit (GRU) with a Convolutional Neural Network (CNN), extracting local observations to form an encoder. Next, GAT is used to enable inter-agent communication, utilizing the stability of the scaled dot-product aggregation to merge agents’ information. …"

Test data for Map 1. حسب Qingling Zhang (758713)

"…Initially, historical observations are fused by incorporating a Gated Recurrent Unit (GRU) with a Convolutional Neural Network (CNN), extracting local observations to form an encoder. Next, GAT is used to enable inter-agent communication, utilizing the stability of the scaled dot-product aggregation to merge agents’ information. …"