| Deep learning and computer vision will transform entomology TT Høye, J Ärje, K Bjerge, OLP Hansen, A Iosifidis, F Leese, HMR Mann, ... Proceedings of the National Academy of Sciences 118 (2), e2002545117, 2021 | 187 | 2021 |
| An automated light trap to monitor moths (Lepidoptera) using computer vision-based tracking and deep learning K Bjerge, JB Nielsen, MV Sepstrup, F Helsing-Nielsen, TT Høye Sensors 21 (2), 343, 2021 | 57 | 2021 |
| A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony K Bjerge, CE Frigaard, PH Mikkelsen, TH Nielsen, M Misbih, P Kryger Computers and Electronics in Agriculture 164, 104898, 2019 | 44 | 2019 |
| A living laboratory exploring mobile support for everyday life with diabetes. AM Kanstrup, K Bjerge, JE Kristensen Wireless personal communications 53 (3), 2010 | 41 | 2010 |
| Real-time insect tracking and monitoring with computer vision and deep learning K Bjerge, HMR Mann, TT Høye Remote Sensing in Ecology and Conservation, 2021 | 27 | 2021 |
| Towards the fully automated monitoring of ecological communities M Besson, J Alison, K Bjerge, TE Gorochowski, TT Høye, T Jucker, ... Ecology Letters 25 (12), 2753-2775, 2022 | 19 | 2022 |
| Enhancing non-technical skills by a multidisciplinary engineering summer school PG Larsen, EL Kristiansen, J Bennedsen, K Bjerge European Journal of Engineering Education 42 (6), 1076-1096, 2017 | 18 | 2017 |
| A light trap and computer vision system to detect and classify live moths (Lepidoptera) using tracking and deep learning K Bjerge, JB Nielsen, M Videbæk Sepstrup, F Helsing-Nielsen, TT Høye bioRxiv, 2020.03. 18.996447, 2020 | 12 | 2020 |
| Guide for getting started with SystemC development K Bjerge Danish Technological Institute, 2007 | 11 | 2007 |
| A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design K Bjerge, JH Schougaard, DE Larsen Microprocessors and microsystems 87, 104363, 2021 | 7 | 2021 |
| Supporting the Partitioning process in Hardware/Software Co-design with VDM-RT JAE Isasa, PG Larsen, K Bjerge Nico Plat, Claus Ballegaard Nielsen and Steve Riddle (Eds.), 5, 2012 | 6 | 2012 |
| Vibration signatures in ball bearings as a function of lubricant viscosity ratio κ, under alternating lubrication conditions MO Jakobsen, ES Herskind, K Bjerge, P Ahrendt, CF Pedersen, ... Tribology International 156, 106840, 2021 | 5 | 2021 |
| Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning M Dyrmann, AK Mortensen, L Linneberg, TT Høye, K Bjerge Sensors 21 (18), 6126, 2021 | 4 | 2021 |
| Towards a Methodology for Modelling and Validation of an Agricultural Vehicle’s Dynamics and Control MP Christiansen, K Bjerge, G Edwards, PG Larsen | 3 | 2012 |
| A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas S Rysgaard, K Bjerge, W Boone, E Frandsen, M Graversen, TT Høye, ... HardwareX 12, e00331, 2022 | 2 | 2022 |
| Accurate image-based identification of macroinvertebrate specimens using deep learning—How much training data is needed? TT Høye, M Dyrmann, C Kjær, J Nielsen, M Bruus, CL Mielec, ... PeerJ 10, e13837, 2022 | 2 | 2022 |
| Transitioning from Crescendo to INTO-CPS K Lausdahl, K Bjerge, T Bokhove, F Groen, P Gorm SCHOOL OF COMPUTING, 16, 2017 | 2 | 2017 |
| 3D impurity inspection of cylindrical transparent containers M Kragh, K Bjerge, P Ahrendt Measurement Science and Technology 28 (1), 017002, 2016 | 2 | 2016 |
| Accurate detection and identification of insects from camera trap images with deep learning K Bjerge, J Alison, M Dyrmann, CE Frigaard, HMR Mann, TT Høye PLOS Sustainability and Transformation 2 (3), e0000051, 2023 | 1 | 2023 |
| A generic and efficient convolutional neural network accelerator using HLS for a system on chip design K Bjerge, J Schougaard, DE Larsen arXiv, 2020 | 1 | 2020 |
Toke Thomas HøyeProfessor, Department of Ecoscience, Aarhus University, DenmarkVerified email at ecos.au.dk
