Kim Bjerge
Kim Bjerge
Associate Professor, Aarhus University School of Engineering
Verified email at
Cited by
Cited by
Deep learning and computer vision will transform entomology
TT Hye, J rje, K Bjerge, OLP Hansen, A Iosifidis, F Leese, HMR Mann, ...
Proceedings of the National Academy of Sciences 118 (2), e2002545117, 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 Hye
Sensors 21 (2), 343, 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
A living laboratory exploring mobile support for everyday life with diabetes.
AM Kanstrup, K Bjerge, JE Kristensen
Wireless personal communications 53 (3), 2010
Real-time insect tracking and monitoring with computer vision and deep learning
K Bjerge, HMR Mann, TT Hye
Remote Sensing in Ecology and Conservation, 2021
Towards the fully automated monitoring of ecological communities
M Besson, J Alison, K Bjerge, TE Gorochowski, TT Hye, T Jucker, ...
Ecology Letters 25 (12), 2753-2775, 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
A light trap and computer vision system to detect and classify live moths (Lepidoptera) using tracking and deep learning
K Bjerge, JB Nielsen, M Videbk Sepstrup, F Helsing-Nielsen, TT Hye
bioRxiv, 2020.03. 18.996447, 2020
Guide for getting started with SystemC development
K Bjerge
Danish Technological Institute, 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
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
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
Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning
M Dyrmann, AK Mortensen, L Linneberg, TT Hye, K Bjerge
Sensors 21 (18), 6126, 2021
Towards a Methodology for Modelling and Validation of an Agricultural Vehicle’s Dynamics and Control
MP Christiansen, K Bjerge, G Edwards, PG Larsen
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 Hye, ...
HardwareX 12, e00331, 2022
Accurate image-based identification of macroinvertebrate specimens using deep learning—How much training data is needed?
TT Hye, M Dyrmann, C Kjr, J Nielsen, M Bruus, CL Mielec, ...
PeerJ 10, e13837, 2022
Transitioning from Crescendo to INTO-CPS
K Lausdahl, K Bjerge, T Bokhove, F Groen, P Gorm
3D impurity inspection of cylindrical transparent containers
M Kragh, K Bjerge, P Ahrendt
Measurement Science and Technology 28 (1), 017002, 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 Hye
PLOS Sustainability and Transformation 2 (3), e0000051, 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
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