Towards sparse rule base generation for fuzzy rule interpolation Y Tan, J Li, M Wonders, F Chao, HPH Shum, L Yang 2016 ieee international conference on fuzzy systems (fuzz-ieee), 110-117, 2016 | 29 | 2016 |
Training with synthesised data for disaggregated event classification at the water meter M Wonders, Z Ghassemlooy, MA Hossain Expert Systems with Applications 43, 15-22, 2016 | 11 | 2016 |
A reinforcing transfer learning approach to predict buildings energy performance E Mahamedi, M Wonders, N Gerami Seresht, WL Woo, M Kassem Construction Innovation 24 (1), 242-255, 2024 | 1 | 2024 |
Quantifying Occupants Energy Behaviour: A Novel Fuzzy Approach E Mahamedi, M Wonders, WL Woo, NG Seresht Transforming Construction with Reality Capture Technologies, 2022 | 1 | 2022 |
Activity Recognition in Monitored Environments using utility Meter disaggregation MA Wonders PQDT-UK & Ireland, 2016 | | 2016 |
DIGITAL TWIN AND BUILDING PERFORMANCE: A REVIEW AND PROPOSED FRAMEWORK E Mahamedi, M Wonders, M Kassem, WL Woo, D Greenwood Thirty-Eighth ANNUAL CONFERENCE, 681, 0 | | |