Purpose: This study describes the trends and applications of machine learning systems in the management of water supply … networks. Machine learning is a field in constant development, and it has a great potential and capability to attain … created a range of possibilities to apply machine learning. One particular case is the prediction of pipe failures based on …

well-established self-learning algorithm) learns to profitably coordinate on either a fixed price or on asymmetric price …A novel debate within competition policy and regulation circles is whether autonomous machine learning algorithms may … learn to collude on prices. We show that when fims face short-run price commitments, independent Q-learning (a simple but …

data streams. Numerous machine learning-based models are developed to detect the concept drift in machine learning … devises dynamic streaming data analytics depending on the optimized hybrid deep learning classifier and Optimized Key … Windowing (OKW) approach to effectively handle the time and memory constraints. An optimized hybrid deep learning classifier is …

This paper discusses the question whether self-learning price-setting algorithms are able to coordinate their pricing …