TY  - JOUR
AU  - Rossi, Kwame
AU  - Yang, Rajesh
TI  - Support Vector Machine for Urban Air Quality
JO  - Open Access Journal of Engineering Applications
PY  - 2013
VL  - 37
IS  - 1
SP  - 882
EP  - 888
AB  - Efficient use of scarce resources in embedded systems demands a deeper understanding of urban air quality. A suitable control strategy was designed using support vector machine and evaluated in detailed numerical simulation. Cost savings of about 47% were estimated for the optimised system over its service life. The results establish a benchmark against which future improvements can be measured.
KW  - urban air quality
KW  - support vector machine
KW  - fuzzy logic
KW  - response surface methodology
KW  - sustainability
SN  - 3105-7004
DO  - 10.55555/oajea.2013.3701.047
UR  - https://journal.bsaps.com/article/9014
ER  -