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Greg Bishop-Hurley
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2020 – today
- 2023
- [j16]Liang Wang, Reza Arablouei
, Flavio A. P. Alvarenga, Gregory Bishop-Hurley
Classifying animal behavior from accelerometry data via recurrent neural networks. Comput. Electron. Agric. 206: 107647 (2023) - [j15]Reza Arablouei
Animal behavior classification via deep learning on embedded systems. Comput. Electron. Agric. 207: 107707 (2023) - [c10]Ziwei Wang
Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds. ICME 2023: 1481-1486 - [i8]Ali Zia, Renuka Sharma, Reza Arablouei, Greg Bishop-Hurley, Jody McNally, Neil Bagnall, Vivien Rolland, Brano Kusy, Lars Petersson, Aaron Ingham:
CVB: A Video Dataset of Cattle Visual Behaviors. CoRR abs/2305.16555 (2023) - 2022
- [c9]Ziwei Wang
Multi-modal sensing for behaviour recognition. MobiCom 2022: 900-902 - [i7]Reza Arablouei, Ziwei Wang, Greg Bishop-Hurley, Jiajun Liu:
Multi-modal Sensor Data Fusion for In-situ Classification of Animal Behavior Using Accelerometry and GNSS Data. CoRR abs/2206.12078 (2022) - [i6]Reza Arablouei, Liang Wang, Caitlin Phillips, Lachlan Currie, Jordan Yates, Greg Bishop-Hurley:
In-situ animal behavior classification using knowledge distillation and fixed-point quantization. CoRR abs/2209.04130 (2022) - [i5]Ziwei Wang, Reza Arablouei, Jiajun Liu, Paulo Borges, Greg Bishop-Hurley, Nicholas Heaney:
Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds. CoRR abs/2210.17009 (2022) - 2021
- [j14]Reza Arablouei
In-situ classification of cattle behavior using accelerometry data. Comput. Electron. Agric. 183: 106045 (2021) - [j13]Seyedehfaezeh Hosseininoorbin
Deep learning-based cattle behaviour classification using joint time-frequency data representation. Comput. Electron. Agric. 187: 106241 (2021) - [c8]Chuong Nguyen
Video-based cattle identification and action recognition. DICTA 2021: 1-5 - [i4]Chuong Nguyen, Dadong Wang, Karl von Richter, Philip Valencia, Flavio A. P. Alvarenga, Gregory Bishop-Hurley:
Video-based cattle identification and action recognition. CoRR abs/2110.07103 (2021) - [i3]Reza Arablouei, Liang Wang, Lachlan Currie, Flavio A. P. Alvarenga, Greg Bishop-Hurley:
Animal Behavior Classification via Deep Learning on Embedded Systems. CoRR abs/2111.12295 (2021) - [i2]Liang Wang, Reza Arablouei, Flavio A. P. Alvarenga, Greg Bishop-Hurley:
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks. CoRR abs/2111.12843 (2021) - 2020
- [j12]Lauren R. Williams, Steven T. Moore, Greg Bishop-Hurley
A sensor-based solution to monitor grazing cattle drinking behaviour and water intake. Comput. Electron. Agric. 168 (2020) - [j11]Shuwen Hu, Aaron Ingham
Inclusion of features derived from a mixture of time window sizes improved classification accuracy of machine learning algorithms for sheep grazing behaviours. Comput. Electron. Agric. 179: 105857 (2020) - [i1]Seyedeh Fa'ezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Greg Bishop-Hurley, Marius Portmann:
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation. CoRR abs/2011.03381 (2020)
2010 – 2019
- 2019
- [j10]Lauren R. Williams, David R. Fox, Greg Bishop-Hurley
Use of radio frequency identification (RFID) technology to record grazing beef cattle water point use. Comput. Electron. Agric. 156: 193-202 (2019) - 2016
- [j9]Md. Sumon Shahriar, Daniel V. Smith, Ashfaqur Rahman
Detecting heat events in dairy cows using accelerometers and unsupervised learning. Comput. Electron. Agric. 128: 20-26 (2016) - [j8]Daniel V. Smith, Ashfaqur Rahman
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems. Comput. Electron. Agric. 131: 40-50 (2016) - [c7]Ashfaqur Rahman
A comparison of autoencoder and statistical features for cattle behaviour classification. IJCNN 2016: 2954-2960 - 2015
- [j7]Luciano A. González, Greg Bishop-Hurley
Behavioral classification of data from collars containing motion sensors in grazing cattle. Comput. Electron. Agric. 110: 91-102 (2015) - [j6]Ritaban Dutta, Daniel V. Smith, Richard Rawnsley
Dynamic cattle behavioural classification using supervised ensemble classifiers. Comput. Electron. Agric. 111: 18-28 (2015) - [j5]Daniel V. Smith, Ritaban Dutta, Andrew D. Hellicar, Greg Bishop-Hurley
Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification. Expert Syst. Appl. 42(7): 3774-3784 (2015) - 2014
- [c6]Greg Bishop-Hurley, Dave Henry, Daniel V. Smith, Ritaban Dutta, James Hills
An investigation of cow feeding behavior using motion sensors. I2MTC 2014: 1285-1290 - 2010
- [j4]Andre Zerger, Raphael A. Viscarra Rossel
Environmental sensor networks for vegetation, animal and soil sciences. Int. J. Appl. Earth Obs. Geoinformation 12(5): 303-316 (2010) - [c5]Raja Jurdak
Energy-efficient localization for virtual fencing. IPSN 2010: 388-389
2000 – 2009
- 2009
- [j3]Tim Wark, Dave Swain, Christopher Crossman, Philip Valencia, Greg Bishop-Hurley
Sensor and Actuator Networks: Protecting Environmentally Sensitive Areas. IEEE Pervasive Comput. 8(1): 30-36 (2009) - [j2]Rebecca N. Handcock
Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing. Sensors 9(5): 3586-3603 (2009) - 2008
- [c4]Tim Wark, Christopher Crossman, Philip Valencia, Peter I. Corke
A sensor network for compression and streaming of GPS trajectory data. SenSys 2008: 439-440 - 2007
- [j1]Tim Wark, Peter I. Corke
Transforming Agriculture through Pervasive Wireless Sensor Networks. IEEE Pervasive Comput. 6(2): 50-57 (2007) - [c3]Tim Wark, Wen Hu
A model-based routing protocol for a mobile, delay tolerant network. SenSys 2007: 421-422 - 2006
- [c2]Pavan Sikka, Peter I. Corke
Wireless adhoc sensor and actuator networks on the farm. IPSN 2006: 492-499 - [c1]Ying Guo, Peter I. Corke
Animal Behaviour Understanding using Wireless Sensor Networks. LCN 2006: 607-614
Coauthor Index
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