Agrahari, R.; Nicholson, M.; Conran, C.; Assem, H.; Kelleher, J.D.
Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data. IoT 2022, 3, 123-144.
https://doi.org/10.3390/iot3010008
AMA Style
Agrahari R, Nicholson M, Conran C, Assem H, Kelleher JD.
Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data. IoT. 2022; 3(1):123-144.
https://doi.org/10.3390/iot3010008
Chicago/Turabian Style
Agrahari, Rahul, Matthew Nicholson, Clare Conran, Haytham Assem, and John D. Kelleher.
2022. "Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data" IoT 3, no. 1: 123-144.
https://doi.org/10.3390/iot3010008
APA Style
Agrahari, R., Nicholson, M., Conran, C., Assem, H., & Kelleher, J. D.
(2022). Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data. IoT, 3(1), 123-144.
https://doi.org/10.3390/iot3010008