Predicting Airline Delays at Scale with Spark ML

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...
IEEE

A random forest-based machine learning algorithm for predicting onion whole sale price

Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...
IEEE

Machine Learning Approaches for QAM-16 Demodulation: Evaluating Decision Trees and Random Forests as Hardware Alternatives

Abstract: Quadrature Amplitude Modulation (QAM) is widely used in modern wireless communication systems to transmit data efficiently. Conventional QAM transceivers rely on specialized hardware to ...