| 1 |
Predicting quality decay in continuously passaged mesenchymal stem cells by detecting morphological anomalies
Takemoto Y, Imai Y, Kanie K, Kato R
Journal of Bioscience and Bioengineering, 131(2), 198, 2021 |
| 2 |
A simple and effective detection strategy using double exponential scheme for photovoltaic systems monitoring
Taghezouit B, Harrou F, Sun Y, Arab AH, Larbes C
Solar Energy, 214, 337, 2021 |
| 3 |
Radiogenic heat production variations in the Gonghe basin, northeastern Tibetan Plateau: Implications for the origin of high-temperature geothermal resources
Zhang C, Hu SB, Zhang SS, Li ST, Zhang LY, Kong YL, Zuo YH, Song RC, Jiang GZ, Wang ZT
Renewable Energy, 148, 284, 2020 |
| 4 |
System-wide anomaly detection in wind turbines using deep autoencoders
Renstrom N, Bangalore P, Highcock E
Renewable Energy, 157, 647, 2020 |
| 5 |
Design of machine learning models with domain experts for automated sensor selection for energy fault detection
Hu RL, Granderson J, Auslander DM, Agogino A
Applied Energy, 235, 117, 2019 |
| 6 |
State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters
Cadini F, Sbarufatti C, Cancelliere F, Giglio M
Applied Energy, 235, 661, 2019 |
| 7 |
Can non-intrusive load monitoring be used for identifying an appliance's anomalous behaviour?
Rashid H, Singh P, Stankovic V, Stankovic L
Applied Energy, 238, 796, 2019 |
| 8 |
An anomaly detection framework for dynamic systems using a Bayesian hierarchical framework
Moghaddass R, Sheng SW
Applied Energy, 240, 561, 2019 |
| 9 |
Interplay between chiral magnetic and Kondo effects in Weyl metal phase
Kim KS, Han JH
Current Applied Physics, 19(3), 236, 2019 |
| 10 |
Monitoring thermal anomaly and radiative heat flux using thermal infrared satellite imagery - A case study at Tuzla geothermal region
Sekertekin A, Arslan N
Geothermics, 78, 243, 2019 |
