| Automatic classification of sheep behaviour using 3-axis accelerometer data J Marais, SP Le Roux, R Wolhuter, T Niesler Proceedings of the twenty-fifth annual symposium of the Pattern Recognition …, 2014 | 42 | 2014 |
| Animal-borne behaviour classification for sheep (Dohne Merino) and Rhinoceros (Ceratotherium simum and Diceros bicornis) SP Le Roux, J Marias, R Wolhuter, T Niesler Animal Biotelemetry 5, 1-13, 2017 | 40 | 2017 |
| Practical evaluation of carrier sensing for a LoRa wildlife monitoring network M O’kennedy, T Niesler, R Wolhuter, N Mitton 2020 IFIP Networking Conference (Networking), 614-618, 2020 | 32 | 2020 |
| Nonlinear model and optimization method for a single-axis linear-motion energy harvester for footstep excitation MN Struwig, R Wolhuter, T Niesler Smart Materials and Structures 27 (12), 125007, 2018 | 22 | 2018 |
| Analogue versus digital for baseband beam steerable array used for LEO satellite applications H Aliakbarian, V Volski, E Van Der Westhuizen, R Wolhuter, ... Proceedings of the Fourth European Conference on Antennas and Propagation, 1-4, 2010 | 20 | 2010 |
| Energy-aware feature and model selection for onboard behavior classification in low-power animal borne sensor applications SP le Roux, R Wolhuter, T Niesler IEEE Sensors Journal 19 (7), 2722-2734, 2018 | 17 | 2018 |
| Performance evaluation of LoRa radio solution for PREDNET wildlife animal tracking project V Toldov, JP Meijers, R Igual-Pérez, R Wolhuter, N Mitton, L Clavier LPWAN 2016-The 1st international conference on IoT and M2M wireless LPWA …, 2016 | 16 | 2016 |
| Reduced energy and memory requirements by on-board behavior classification for animal-borne sensor applications SP le Roux, R Wolhuter, N Stevens, T Niesler IEEE Sensors Journal 18 (10), 4261-4268, 2018 | 14 | 2018 |
| A digitally beam-steerable antenna array system for positioning-based tracking applications H Aliakbarian, E Van der Westhuizen, R Wiid, V Volski, R Wolhuter, ... IEEE Antennas and Propagation Magazine 55 (6), 35-49, 2013 | 14 | 2013 |
| A survey of cross‐layer protocols for IEEE 802.11 wireless multi‐hop mesh networks SM Sheikh, R Wolhuter, HA Engelbrecht International Journal of Communication Systems 30 (6), e3129, 2017 | 13 | 2017 |
| An adaptive congestion control and fairness scheduling strategy for wireless mesh networks S Sheikh, R Wolhuter, HA Engelbrecht 2015 IEEE symposium series on computational intelligence, 1174-1181, 2015 | 12 | 2015 |
| An architectural scheme for real-time multiple users beam tracking systems H Xu, H Aliakbarian, E Van der Westhuizen, R Wolhuter, ... IEEE Systems Journal 11 (4), 2905-2916, 2014 | 10 | 2014 |
| Predicting low earth orbit satellite communications quality and visibility over time JS Gilmore, R Wolhuter Southern Africa Telecommunication Networks and Applications Conference (SATNAC), 2009 | 10 | 2009 |
| Comparison and optimisation of CSMA/CA back-off distribution functions for a low earth orbit satellite link AD Cawood, R Wolhuter AFRICON 2007, 1-8, 2007 | 10 | 2007 |
| Choosing an integrated radio-frequency module for a wildlife monitoring wireless sensor network J Wotherspoon, R Wolhuter, T Niesler 2017 IEEE AFRICON, 314-319, 2017 | 9 | 2017 |
| A comparative analysis of MANET routing protocols for low cost rural telemetry wireless mesh networks SM Sheikh, R Wolhuter, GJ Van Rooyen 2015 International Conference on Emerging Trends in Networks and Computer …, 2015 | 9 | 2015 |
| An overview of automatic behaviour classification for animal-borne sensor applications in South Africa S le Roux, R Wolhuter, T Niesler Proceedings of the ACM Multimedia 2017 Workshop on South African Academic …, 2017 | 8 | 2017 |
| Energy benefits of on-board behaviour classification for animal-borne sensor applications S le Roux, R Wolhuter, T Niesler, N Stevens 2017 IEEE SENSORS, 1-3, 2017 | 6 | 2017 |
| Implementation and analysis of FMIPv6, an enhancement of MIPv6 J Pieterse, R Wolhuter, N Mitton Ad Hoc Networks: 4th International ICST Conference, ADHOCNETS 2012, Paris …, 2013 | 6 | 2013 |
| Traffic class prediction and prioritization on a diversified IP network using machine learning C Brand, R Wolhuter 2009 IEEE Globecom Workshops, 1-6, 2009 | 6 | 2009 |
