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Kim Bjerge
Kim Bjerge
Associate Professor, Aarhus University School of Engineering
Verified email at ase.au.dk
Title
Cited by
Cited by
Year
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
1482021
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
472021
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
412019
A living laboratory exploring mobile support for everyday life with diabetes.
AM Kanstrup, K Bjerge, JE Kristensen
Wireless personal communications 53 (3), 2010
412010
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
162017
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
152021
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
112020
Guide for getting started with SystemC development
K Bjerge
Danish Technological Institute, 2007
112007
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
62012
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
52022
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
42021
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
42021
Towards a Methodology for Modelling and Validation of an Agricultural Vehicle’s Dynamics and Control
MP Christiansen, K Bjerge, G Edwards, PG Larsen
32012
Transitioning from Crescendo to INTO-CPS
K Lausdahl, K Bjerge, T Bokhove, F Groen, P Gorm
SCHOOL OF COMPUTING, 16, 2017
22017
3D impurity inspection of cylindrical transparent containers
M Kragh, K Bjerge, P Ahrendt
Measurement Science and Technology 28 (1), 017002, 2016
22016
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
12022
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
12021
A system on programmable chip design of a digitizer with improved trapezoidal filter validation
K Bjerge, HOU Fynbo, JG Johansen
Microprocessors and Microsystems 65, 7-13, 2019
12019
Using VDM in a Co-Simulation Setting for an Industrial Conveyor System
K Bjerge, PG Larsen
The Modelling, Identification and Control–MIC 2013 conference. IASTED…, 0
1
Dynamic counting objects in images optimized for data-parallel computing
K Bjerge
Aarhus University, Department of Computer Science, 0
1
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