Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Karsmakers, P."'
Autor:
Van Baelen, Quinten, Karsmakers, Peter
Deploying neural networks on the edge has become increasingly important as deep learning is being applied in an increasing amount of applications. The devices on the edge are typically characterised as having small computational resources as large co
Externí odkaz:
http://arxiv.org/abs/2409.20138
The main goal of machine condition monitoring is, as the name implies, to monitor the condition of industrial applications. The objective of this monitoring can be mainly split into two problems. A diagnostic problem, where normal data should be dist
Externí odkaz:
http://arxiv.org/abs/2409.11807
Deep Neural Network (DNN) accelerators are extensively used to improve the computational efficiency of DNNs, but are prone to faults through Single-Event Upsets (SEUs). In this work, we present an in-depth analysis of the impact of SEUs on a Systolic
Externí odkaz:
http://arxiv.org/abs/2405.15381
Autor:
Van Baelen, Quinten, Karsmakers, Peter
Deep learning is typically performed by learning a neural network solely from data in the form of input-output pairs ignoring available domain knowledge. In this work, the Constraint Guided Gradient Descent (CGGD) framework is proposed that enables t
Externí odkaz:
http://arxiv.org/abs/2206.06202
Publikováno v:
Sensors, Vol 24, Iss 8, p 2448 (2024)
This paper proposes a new approach for wide angle monitoring of vital signs in smart home applications. The person is tracked using an indoor radar. Upon detecting the person to be static, the radar automatically focuses its beam on that location, an
Externí odkaz:
https://doaj.org/article/eea108f5915848acb3dbf4358d207764
Autor:
Dekkers, Gert, Rosas, Fernando, Lauwereins, Steven, Rajendran, Sreeraj, Pollin, Sofie, Vanrumste, Bart, van Waterschoot, Toon, Verhelst, Marian, Karsmakers, Peter
Smart sensing is expected to become a pervasive technology in smart cities and environments of the near future. These services are improving their capabilities due to integrated devices shrinking in size while maintaining their computational power, w
Externí odkaz:
http://arxiv.org/abs/1812.06672
The DCASE 2018 Challenge consists of five tasks related to automatic classification and detection of sound events and scenes. This paper presents the setup of Task 5 which includes the description of the task, dataset and the baseline system. In this
Externí odkaz:
http://arxiv.org/abs/1807.11246
Akademický článek
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Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-17 (2021)
Abstract If music is the language of the universe, musical note onsets may be the syllables for this language. Not only do note onsets define the temporal pattern of a musical piece, but their time-frequency characteristics also contain rich informat
Externí odkaz:
https://doaj.org/article/145933a49ad94c8a8c9e7ae441380d02
Autor:
Yiyuan Zhang, Oluwatosin John Babarinde, Pengxuan Han, Xiangyu Wang, Peter Karsmakers, Dominique M. M.-P. Schreurs, Sabine Verschueren, Bart Vanrumste
Publikováno v:
IEEE Access, Vol 9, Pp 152765-152779 (2021)
Assessing the performance of physical activities through the modified physical performance test (mPPT) is a known approach for predicting frailty levels in older adults. This study proposes a system comprising a continuous-wave (CW) radar for data ac
Externí odkaz:
https://doaj.org/article/fcac2957838d4b72beaeb5aed3ff7578