Performance of the SPP. حسب Virgile Andreani (17087764)

Table 2_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.docx حسب Xinrui Wang (488330)

"…After min-max normalization, six classification models—KNN, AdaBoost, Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and XGBoost—were developed, and the Sparrow Search Algorithm (SSA) was employed to optimize hyperparameters for enhanced performance.…"

Table 1_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.xlsx حسب Xinrui Wang (488330)

"…After min-max normalization, six classification models—KNN, AdaBoost, Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and XGBoost—were developed, and the Sparrow Search Algorithm (SSA) was employed to optimize hyperparameters for enhanced performance.…"

Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity حسب Natalia Czub (15313668)

"…The specialized and optimized system enables in silico and structure-based prediction with a high degree of certainty. …"

Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity حسب Natalia Czub (15313668)

"…The specialized and optimized system enables in silico and structure-based prediction with a high degree of certainty. …"

Table4_Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance.xlsx حسب Melina Prado (19931685)

"…To test the trials’ optimization, we performed the joint analysis using prediction-based models in four different scenarios: i) considering trials as non-related, ii) including the environmental relationship matrix calculated from ECs, iii) within clusters; iv) sampling one location per cluster. …"

Table3_Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance.xlsx حسب Melina Prado (19931685)

"…To test the trials’ optimization, we performed the joint analysis using prediction-based models in four different scenarios: i) considering trials as non-related, ii) including the environmental relationship matrix calculated from ECs, iii) within clusters; iv) sampling one location per cluster. …"

Image2_Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance.jpeg حسب Melina Prado (19931685)

"…To test the trials’ optimization, we performed the joint analysis using prediction-based models in four different scenarios: i) considering trials as non-related, ii) including the environmental relationship matrix calculated from ECs, iii) within clusters; iv) sampling one location per cluster. …"

Table1_Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance.xlsx حسب Melina Prado (19931685)

"…To test the trials’ optimization, we performed the joint analysis using prediction-based models in four different scenarios: i) considering trials as non-related, ii) including the environmental relationship matrix calculated from ECs, iii) within clusters; iv) sampling one location per cluster. …"

Image1_Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance.jpeg حسب Melina Prado (19931685)

"…To test the trials’ optimization, we performed the joint analysis using prediction-based models in four different scenarios: i) considering trials as non-related, ii) including the environmental relationship matrix calculated from ECs, iii) within clusters; iv) sampling one location per cluster. …"

Table2_Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance.xlsx حسب Melina Prado (19931685)

"…To test the trials’ optimization, we performed the joint analysis using prediction-based models in four different scenarios: i) considering trials as non-related, ii) including the environmental relationship matrix calculated from ECs, iii) within clusters; iv) sampling one location per cluster. …"

Smart Reaction Templating: A Graph-Based Method for Automated Molecular Dynamics Input Generation حسب Julian Konrad (9609845)

"…This work introduces a Python-based algorithm that automates the generation of reaction templates for the LAMMPS REACTION package, leveraging graph-theoretical principles and subgraph isomorphism techniques. …"

MGPC module. حسب Bo Tong (2138632)

Comparative experiment. حسب Bo Tong (2138632)

Pruning experiment. حسب Bo Tong (2138632)

Parameter setting table. حسب Bo Tong (2138632)

DTADH module. حسب Bo Tong (2138632)

Ablation experiment. حسب Bo Tong (2138632)

Multi scale detection. حسب Bo Tong (2138632)

MFDPN module. حسب Bo Tong (2138632)