4.5 Article

Semi-supervised Gaussian and t-distribution hybrid mixture model for water leak detection

Related references

Note: Only part of the references are listed.
Article Engineering, Civil

Better Understanding of the Capacity of Pressure Sensor Systems to Detect Pipe Burst within Water Distribution Networks

Zhexian Qi et al.

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2018)

Article Engineering, Civil

Better Understanding of the Capacity of Pressure Sensor Systems to Detect Pipe Burst within Water Distribution Networks

Zhexian Qi et al.

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2018)

Proceedings Paper Engineering, Electrical & Electronic

Novel approach for simultaneous sediment classification and concentration determination of water turbidity

Daniel P. Duarte et al.

24TH INTERNATIONAL CONFERENCE ON OPTICAL FIBRE SENSORS (2015)

Article Social Sciences, Interdisciplinary

Clustering in the field of social sciences: that is your choice

Jaime R. S. Fonseca

INTERNATIONAL JOURNAL OF SOCIAL RESEARCH METHODOLOGY (2013)

Article Computer Science, Interdisciplinary Applications

Novelty detection for time series data analysis in water distribution systems using support vector machines

Stephen R. Mounce et al.

JOURNAL OF HYDROINFORMATICS (2011)

Article Engineering, Multidisciplinary

Leak detection of complex pipelines based on the filter diagonalization method: robust technique for eigenvalue assessment

Aime Lay-Ekuakille et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2010)

Article Computer Science, Theory & Methods

Robust mixture modelling using the t distribution

D Peel et al.

STATISTICS AND COMPUTING (2000)