TY  - JOUR
AU  - Mensah, Ayesha
AU  - Sarker, Kofi
AU  - Mukherjee, Ananya
TI  - Analysis of Bridge Structural Health Monitoring using Random Forest Classification
JO  - Open Access Journal of Engineering Applications
PY  - 2018
VL  - 42
IS  - 2
SP  - 14
EP  - 29
AB  - There remains a pressing need for cost-effective methods to assess bridge structural health monitoring in air pollution control. A comprehensive framework based on random forest classification is developed and applied to representative cases drawn from air pollution control. The model explained 14% of the variance observed in the field data. The study demonstrates that meaningful improvements are achievable without major capital outlay.
KW  - bridge structural health monitoring
KW  - random forest classification
KW  - energy management
KW  - cognitive radio
KW  - optimisation
SN  - 3105-7004
DO  - 10.55555/oajea.2018.4202.002
UR  - https://journal.bsaps.com/article/9519
ER  -