TY  - JOUR
AU  - Islam, Rafiqul
AU  - Chen, Amara
AU  - Ahmed, Andreas
AU  - Uddin, Kamrul
TI  - Decision Tree Classification for Heavy-Metal Adsorption
JO  - Open Access Journal of Engineering Applications
PY  - 2015
VL  - 39
IS  - 1
SP  - 683
EP  - 716
AB  - Traditional design methods for telecommunication networks frequently neglect several important aspects of heavy-metal adsorption that affect real performance. Discretisation of the domain allowed decision tree classification to be applied to the complex geometry involved. The optimised parameters raised the useful output by 36% while simultaneously reducing the overall losses. The results support the adoption of the proposed method in routine engineering practice.
KW  - heavy-metal adsorption
KW  - decision tree classification
KW  - renewable energy
KW  - vibration analysis
KW  - biodiesel
SN  - 3105-7004
DO  - 10.55555/oajea.2015.3901.033
UR  - https://journal.bsaps.com/article/9200
ER  -