Projects per year
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Dive into the research topics where Department of Electrical and Computer Engineering - Signal Processing and Machine learning is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Muhammad Rizwan Asif
- Department of Electrical and Computer Engineering - Signal Processing and Machine learning - Assistant Professor (Tenure Track)
Person: VIP
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Kim Bjerge
- Department of Electrical and Computer Engineering - Signal Processing and Machine learning - Group Leader, Associate Professor
Person: VIP
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Automatisk monitering af nataktive insekter på fondens arealer 2024-2028 (AVJF)
Høye, T. T. (PI) & Bjerge, K. (Collaborator)
01/05/2024 → 30/04/2029
Project: Research
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PANDORA - A Comprehensive Framework enabling the Delivery of Trustworthy Datasets for Efficient AIoT Operation
Iosifidis, A. (PI) & Zhang, Q. (PI)
01/04/2024 → 31/03/2027
Project: Research
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NUEI - Nordic University Cooperation on Edge Intelligence
Zhang, Q. (PI), Iosifidis, A. (PI), Lucani Rötter, D. E. (PI), Esterle, L. (PI) & Cheng, H. V. (PI)
01/01/2024 → 31/12/2028
Project: Research
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Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising
Naveed, K. & Rehman, N. U., Jan 2025, In: Measurement: Journal of the International Measurement Confederation. 242, Part E, 116142.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
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ACCURATE GIGAPIXEL CROWD COUNTING BY ITERATIVE ZOOMING AND REFINEMENT
Bakhtiarnia, A., Zhang, Q. & Iosifidis, A., 2024, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers Inc., p. 6510-6514 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review
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A deep learning pipeline for time-lapse camera monitoring of floral environments and insect populations
Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T., Jun 2024, bioRxiv.Research output: Working paper/Preprint › Preprint
Activities
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The Missing Link – Why We Need Sensors to Tell Us What the Machine is Doing?
Nyholm Jørgensen, R. (Lecturer)
6 Mar 2024Activity: Presentations, memberships, ownership and other activities › Lecture and oral contribution
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The Lexer and Parser: Parallelism and Hardware Accelreation (Master Thesis)
Bjerge, K. (Examiner)
26 Jan 2024Activity: External lectures and Examination › Examination
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Detailed Species Competition Mapping of Mixed Cover Crop Species Using Tractor Mounted Color Camera and Computer Vision
Skovsen, S. K. (Lecturer)
1 Nov 2023Activity: Presentations, memberships, ownership and other activities › Lecture and oral contribution
Prizes
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File
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Best Paper Award - 5th International Conference on Deep Learning Theory and Applications
Bjerge, K. (Recipient), 10 Jul 2024
Prize: Prizes, scholarships, distinctions
File -
Best Thesis Award
Khare, Smith Kashiram (Recipient), 20 Nov 2022
Prize: Prizes, scholarships, distinctions
Press/Media
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Vejdirektoratet tager kunstig intelligens i brug mod invasive arter
25/06/2020
1 Media contribution
Press/Media: Press / Media