Mr Samuel Morton Williams

E-pub ahead of printA Machine Learning Integrated 5.8-GHz Continuous-Wave Radar for Honeybee Monitoring and Behavior Classification
Aldabashi, N., Morton Williams, S., Eltokhy, A., Palmer, E., Cross, P. & Palego, C., 6 Mar 2023, (E-pub ahead of print) In: IEEE Transactions on Microwave Theory and Techniques. 11 p.
Research output: Contribution to journal › Article › peer-review
PublishedChallenges in Developing a Real-time Bee-counting Radar
Morton Williams, S., Aldabashi, N., Cross, P. & Palego, C., 1 Jun 2023, In: Sensors. 23, 11
Research output: Contribution to journal › Article › peer-review

PublishedA comparison of machine-learning assisted optical and thermal camera systems for beehive activity counting
Morton Williams, S., Bariselli, S., Palego, C., Holland, R. & Cross, P., 1 Dec 2022, In: Smart Agricultural Technology. 2, 100038.
Research output: Contribution to journal › Article › peer-review

PublishedEarly prediction of bumblebee flight task using machine learning
Morton Williams, S., Aldabashi, N., Palego, C., Woodgate, J., Makinson, J. & Cross, P., 1 May 2021, In: Computers and Electronics in Agriculture. 184, 11 p., 106065.
Research output: Contribution to journal › Article › peer-review
PublishedIntegration of 5.8GHz Doppler Radar and Machine Learning for Automated Honeybee Hive Surveillance and Logging
Aldabashi, N., Williams, S., Eltokhy, A., Palmer, E., Cross, P. & Palego, C., 27 Oct 2021, 2021 IEEE MTT-S International Microwave Symposium (IMS). IEEE
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review