The integration of AI, satellite data, GIS, UAVs, and GTD marks a paradigm shift from reactive to proactive coastal ...

Deep learning uses data inputs to guess the nonlinear plane ... Using the gradient descent algorithm, linear regression can find the best set of beta coefficients to minimize a cost function given by ...

In-context learning (ICL) is an emergent capability ... This project studies how different optimization algorithms influence ICL abilities, particularly comparing linear vs. quadratic regression tasks ...

Machine learning algorithms have played a significant role in the creation ... (2018) [23] applied machine learning techniques like Linear Regression, Random Forest, Multi-layer Perceptron (MLP), and ...

Introduction and Objectives Prediction of worsening lung function is challenging yet important for patient management. Non-linear regression models of disease progression may improve predictions when ...