Amount Of Features,Application Of Machine Learning Algorithms,Average Absolute Error,Average Error,Average Rank,Basketball,Current Matching,Decision Table,Distinct Methodologies,Expert ...

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 ...

This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.

Methods: In this study, we expanded upon traditional red–green–blue (RGB) imaging by integrating the YOLO neural network algorithm with hyperspectral imaging (HSI) to evaluate the diagnostic efficacy ...

Almanac,Artificial Intelligence,Astrology,Data Storage,Deep Learning,End Time,Logistic Regression Algorithm,Part Of Algorithm,Social Media,Start Time,Sunrise And ...

Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more) ...