ENBIS-22 Trondheim Conference

Session

INVITED INFORMS/QSR

29 Jun 2022, 08:30

EL5

Conveners

INVITED INFORMS/QSR

• Kamran Paynabar (School of Industrial and Systems Engineering)

116. A Constrained Low-Rank Sparse Decomposition for Anomaly Detection in Photovoltaic Systems

Kamran Paynabar (School of Industrial and Systems Engineering)

29/06/2022, 08:30

Other/special session/invited session

Recently, low-rank sparse decomposition methods such as Smooth-Sparse Decomposition and Robust PCA have been widely applied in various applications for their ability to detect anomalies. The essence of these methods is to break down the signal into a low-rank mean and a set of sparse components that are mainly attributed to anomalies. In many applications, a simple decomposition of the signal...

115. Robust Coupled Tensor Decomposition and Feature Extraction for Multimodal Medical Data

Mostafa Reisi Gahrooei (University of Florida)

29/06/2022, 09:00

Other/special session/invited session

High-dimensional data to describe various aspects of a patient's clinical condition have become increasingly abundant in the medical field across a variety of domains. For example, in neuroimaging applications, electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can be collected simultaneously (i.e., EEG-fMRI) to provide high spatial and temporal resolution of a...

111. A Novel Semi-supervised Learning Model for Smartphone-based Health Telemonitoring

Nathan Gaw (Air Force Institute of Technology)

29/06/2022, 09:30

Other/special session/invited session

Telemonitoring is the use of electronic devices such as smartphones to remotely monitor patients. It provides great convenience and enables timely medical decisions. To facilitate the decision making for each patient, a model is needed to translate the data collected by the patient’s smartphone into a predicted score for his/her disease severity. To train a robust predictive model,...