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pro vyhledávání: '"Gerum, Christoph"'
Epilepsy is the most common, chronic, neurological disease worldwide and is typically accompanied by reoccurring seizures. Neuro implants can be used for effective treatment by suppressing an upcoming seizure upon detection. Due to the restricted siz
Externí odkaz:
http://arxiv.org/abs/2406.16948
This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural Network (CNN) for classification with the time-seri
Externí odkaz:
http://arxiv.org/abs/2310.07895
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices
Autor:
Gerum, Christoph, Frischknecht, Adrian, Hald, Tobias, Bernardo, Paul Palomero, Lübeck, Konstantin, Bringmann, Oliver
The increasing spread of artificial neural networks does not stop at ultralow-power edge devices. However, these very often have high computational demand and require specialized hardware accelerators to ensure the design meets power and performance
Externí odkaz:
http://arxiv.org/abs/2209.03807
Publikováno v:
ICANN 2021. Lecture Notes in Computer Science, vol 12891, pp 369-378. Springer
Keyword spotting (KWS) is becoming a ubiquitous need with the advancement in artificial intelligence and smart devices. Recent work in this field have focused on several different architectures to achieve good results on datasets with low to moderate
Externí odkaz:
http://arxiv.org/abs/2109.07930
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems; November 2024, Vol. 43 Issue: 11 p4166-4177, 12p
Akademický článek
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Publikováno v:
2015 International Conference on Embedded Computer Systems: Architectures, Modeling & Simulation (SAMOS); 2015, p18-25, 8p
Publikováno v:
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE); 2015, p217-222, 6p