Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...
Abstract: Reinforcement Learning (RL) has emerged as a promising solution for defining the optimal dispatch of Energy Storage Systems (ESS) in distributed energy systems. However, a notable gap exists ...
Abstract: A supervised machine learning (ML) algorithm is proposed for measuring refractive index (RI) values both below and above the RI of the fiber material using a multimode interference (MMI) ...
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...