ENBIS-22 Trondheim Conference

Session

CONTRIBUTED Modelling 6

29 Jun 2022, 10:20

EL2

Conveners

CONTRIBUTED Modelling 6

• Froydis Bjerke (Animalia Meat and Poultry Research Centre)

59. Segmentation and clustering new types of data in metric space

Dr Yariv Marmor (ORT Braude College of Engineering), Prof. Emil Bashkansky (ORT Braude College of Engineering)

29/06/2022, 10:20

Modelling

One of the challenges of the industrial revolution taking place today is the fact that engineers are increasingly faced with the need to deal with new types of data, which are significantly different from ordinary numerical data by virtue of their nature and the operations that can be performed with them (spectrograms, for example). Basic concepts related to processing of such data, e.g.: data...

114. SmartPad: a predictive wear model based on the thermal dynamics of brake pads

Mr Francesco Picasso (Politecnico di Torino)

29/06/2022, 10:40

Modelling

Brake pads and braking systems are among the parts of the vehicle that are harder to innovate. The extreme temperatures and pressures and the presence of dust make them an inhospitable environment for sensors and electronics. Despite these difficulties, GALT. | an ITT company managed to develop SmartPad, an innovative technology that acquires data from the braking pads. It aims to elaborate...

123. Predictive monitoring using machine learning algorithms and a real-life example on schizophrenia

Leo Huberts (University of Amsterdam)

29/06/2022, 11:00

Modelling

Predictive process monitoring aims to produce early warnings of unwanted events. We consider the use of the machine learning method extreme gradient boosting as the forecasting model in predictive monitoring. A tuning algorithm is proposed as the signaling method to produce a required false alarm rate. We demonstrate the procedure using a unique data set on mental health in the Netherlands....