TY  - JOUR
AU  - Tran, Sadia
AU  - Iyer, Tanvir
AU  - Hassan, Sabbir
AU  - Ahmadi, Farhana
TI  - On Content Recommendation Systems
JO  - Open Access Journal of Engineering Applications
PY  - 2017
VL  - 41
IS  - 1
SP  - 401
EP  - 418
AB  - Conventional approaches to robotic manipulation often treat content recommendation systems as a secondary consideration, at considerable cost. The methodology integrates transfer learning with a series of full-scale experiments conducted under realistic loading. A 48% reduction in energy consumption was observed relative to the baseline system. Policymakers may draw on these results when prioritising infrastructure investment.
KW  - content recommendation systems
KW  - transfer learning
KW  - machine learning
KW  - air quality
KW  - remote sensing
SN  - 3105-7004
DO  - 10.55555/oajea.2017.4101.020
UR  - https://journal.bsaps.com/article/9387
ER  -