An Active-Learning Framework for Efficient Training and Bias Mitigation in Probabilistic Forecasting of Water Pipeline Failures

Abstract

AbstractDespite recent advancements in forecasting models for water pipe failures, their implementation remains challenging in many urban environments due to data scarcity. Because water pipe breaks are irregular and intermittent events, existing ...