Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Data preprocessing, including normalization and feature selection. Model implementation using neural network architecture. Optimization using backpropagation and gradient descent. Evaluation metrics: ...

Automatic Target Recognition,Average Pooling,Batch Normalization Layer,Computational Efficiency,Confusion Matrix,Convolutional Layers,Convolutional Neural Network,Convolutional Neural Network ...

LASSO feature selection, SMOTE sampling, 10-fold cross-validation, variable importance plot, PCA plot, normalized Confusion Matrix, GSE13159.

Adaptive Histogram Equalization,Artificial Intelligence Models,Batch Normalization,Confusion Matrix,Convolutional Network,Convolutional Neural Network,Deep Learning,Generative Adversarial ...

Figure 1 displays the confusion matrix and ROC for the training set, which was obtained by implementing a 10-fold cross validation technique. Figure 1. (A) Normalized confusion matrix and (B) receiver ...

Additionally, normalized confusion matrix and receiver operating characteristic/area under the curve (ROC-AUC) with micro- and macro-average were used to evaluate model performance. All plots were ...

The administration said all direct-hire employees would go on leave Friday. At the U.S. Agency for International Development this week, as a team from the Department of Government Efficiency ...

But then USPS restored service within hours, adding to confusion about how items from China would be inspected to determine their import taxes. Trump signed an executive action Friday that ...