TY  - JOUR
AU  - Petrov, Sanjay
AU  - Singh, Rafiqul
AU  - Adeyemi, Hiroshi
TI  - K-Means Clustering for Shape Memory Alloys
JO  - Open Access Journal of Engineering Applications
PY  - 2016
VL  - 40
IS  - 1
SP  - 41
EP  - 60
AB  - Bangladesh, with its dense population and vulnerable infrastructure, faces particular difficulties with shape memory alloys in wireless communication systems. The predictions obtained from k-means clustering were cross-checked against independent measurements taken in wireless communication systems. A payback period of roughly 7 years was estimated for the proposed installation. Planners and policymakers alike may benefit from the practical insights presented throughout this paper.
KW  - shape memory alloys
KW  - k-means clustering
KW  - fatigue analysis
KW  - shape memory alloy
KW  - rainfall-runoff modelling
SN  - 3105-7004
DO  - 10.55555/oajea.2016.4001.003
UR  - https://journal.bsaps.com/article/9270
ER  -