TY  - JOUR
AU  - Al-Farsi, Fatima
AU  - Garcia, Jing
AU  - Gupta, Ali
TI  - Network Intrusion Detection
JO  - Open Access Journal of Engineering Applications
PY  - 2020
VL  - 44
IS  - 2
SP  - 475
EP  - 489
AB  - Reliability in robotic manipulation has become a strategic priority for rapidly urbanising regions, where infrastructure often lags behind demand. An extensive series of tests is complemented by random forest classification to generalise the findings. Estimated savings exceeded 16% under all but the most conservative assumptions. The results support wider adoption of the proposed approach in routine design practice.
KW  - network intrusion detection
KW  - random forest classification
KW  - machine learning
KW  - additive manufacturing
KW  - blockchain
KW  - fuzzy logic
SN  - 3105-7004
DO  - 10.55555/oajea.2020.4402.025
UR  - https://journal.bsaps.com/article/9742
ER  -