7 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
Long-Term Pipeline Failure Prediction Using Nonparametric Survival Analysis
Dilusha Weeraddana, Sudaraka MallawaArachchi, Tharindu Warnakula +2
Australian water infrastructure is more than a hundred years old, thus has begun to show its age through water main failures. Our work concerns approximately half a million pipelin…
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
Sunny Verma, Jiwei Wang, Zhefeng Ge +5
Multimodal sentiment analysis utilizes multiple heterogeneous modalities for sentiment classification. The recent multimodal fusion schemes customize LSTMs to discover intra-modal…
Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers
Dilusha Weeraddana, Bin Liang, Zhidong Li +5
Data61 and Western Water worked collaboratively to apply engineering expertise and Machine Learning tools to find a cost-effective solution to the pipe failure problem in the regio…