Fuzzy rules for [43]. حسب Nigatu Wanore Madebo (22146141)

"…The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. …"

Parameters description [34]. حسب Nigatu Wanore Madebo (22146141)

"…The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. …"

PID gain plot for x dynamics. حسب Nigatu Wanore Madebo (22146141)

"…The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. …"

PID gain plot for <i>θ</i> dynamics. حسب Nigatu Wanore Madebo (22146141)

"…The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. …"

PID gain plot for z dynamics. حسب Nigatu Wanore Madebo (22146141)

"…The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. …"

Data Sheet 1_Impact of climate change over distribution and potential range of chestnut in the Iberian Peninsula.docx حسب Pedro Álvarez-Álvarez (14421783)

"…The SDMs were constructed using the Random Forest algorithm.</p>Results and Discussion<p>Our model achieved an accuracy of 86.82%, with high sensitivity (89.91%) and specificity (83.73%). …"

Data Sheet 1_Outliers and anomalies in training and testing datasets for AI-powered morphometry—evidence from CT scans of the spleen.pdf حسب Yuriy Vasilev (21717089)

"…Using visual methods (1.5 interquartile range; heat map; boxplot; histogram; scatter plot), machine learning algorithms (Isolation forest; Density-Based Spatial Clustering of Applications with Noise; K-nearest neighbors algorithm; Local outlier factor; One-class support vector machines; EllipticEnvelope; Autoencoders), and mathematical statistics (z-score, Grubb’s test; Rosner’s test).…"

Data Sheet 1_Immunogenic cell death-related genes as prognostic biomarkers and therapeutic insights in uterine corpus endometrial carcinoma: an integrative bioinformatics analysis.... حسب Tianfei Yi (10971822)

"…The immune landscape was characterized through multiple bioinformatics approaches, and immunotherapy response was predicted using the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm. Additionally, drug sensitivity analysis was performed based on the Genomics of Drug Sensitivity in Cancer (GDSC) database.…"

Table 1_Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.xlsx حسب XinPei Liu (16560699)

"…These features informed the development of machine learning models, including logistic regression, linear and radial basis function support vector machines, XGBoost, decision trees, and random forests. The optimal model was selected based on ROC curve AUC. …"

Table 3_Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.xlsx حسب XinPei Liu (16560699)

"…These features informed the development of machine learning models, including logistic regression, linear and radial basis function support vector machines, XGBoost, decision trees, and random forests. The optimal model was selected based on ROC curve AUC. …"

Training process of BP. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Steps for preparing consumption quota. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Results of Hyperparameter Sensitivity Analysis. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Table 2_Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.xlsx حسب XinPei Liu (16560699)

"…These features informed the development of machine learning models, including logistic regression, linear and radial basis function support vector machines, XGBoost, decision trees, and random forests. The optimal model was selected based on ROC curve AUC. …"

Table 4_Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.xlsx حسب XinPei Liu (16560699)

"…These features informed the development of machine learning models, including logistic regression, linear and radial basis function support vector machines, XGBoost, decision trees, and random forests. The optimal model was selected based on ROC curve AUC. …"

The MAE results of each model on the two sets. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Parameter settings for consumption quota model. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Pseudo code. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Cross validation results across projects. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Data Sheet 1_Toward a unified gait freeze index: a standardized benchmark for clinical and regulatory evaluations.pdf حسب Alessandro Schaer (14234780)

"…This lack of standardization has severely hindered the acceptance of FI by regulatory agencies as a reproducible, robust, effective and safe measure on which to base further developments. In this study, we formalize the definition of the FI and propose a rigorous, explicit estimation algorithm, which may serve as a standard for future applications. …"