IEEE

Smart Grid Solar Tracking Optimization using Deep Reinforcement Learning Algorithm

Abstract: The integration of solar power into smart grids necessitates efficient solar tracking to maximize energy capture. Conventional methods like Single-Axis Trackers (SAT) and Dual-Axis Trackers ...
IEEE

Machine Learning Algorithm for Predicting Pre-Service Teachers' Readiness to Use Brain ...

Abstract: We examine the factors influencing pre-service teachers' readiness to work with special needs students (SNSs) on Brain-Computer Interfaces (BCIs). While BCIs hold promise for enhancing ...
Journal of Medical Internet Research

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident ...

Using the GBM algorithm to predict the subsequent 3-month OUD risk, the top decile subgroup had a positive predictive value of 3.26%, a negative predictive value of 99.8%, and a number needed to ...