Harnessing connections across science, technology, engineering and mathematics, UniSA STEM creates innovative solutions and groundbreaking developments across teaching, learning and research.
Excludes commercial-in-confidence projects.
Research outputs for the last seven years are shown below.
Open access indicates that an output is open access.
Zhou, R, Chen, J, Tan, W, Yuan, H & Cai, C 2022, 'Sensor selection for hybrid AOA-TOA localization with correlated measurement noise in underwater wireless sensor networks', Wireless Communications and Mobile Computing, vol. 2022, article no. 2779760, pp. 1-11.
External engagement & recognition