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Mitwirkender
Soraghan, John
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Datum
2020
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Quantitative assessment of vocal cord abduction and adduction to measure movement symmetry using flexible fibreoptic endoscopy
Schöpfer:
Menon, Radhika
Datum:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering and Centre for Signal and Image Processing
Deep spiking neural networks with applications to human gesture recognition
Schöpfer:
Xing, Yannan
Datum:
2020
Department, School or Faculty:
Neuromorphic Sensor Signal Processing Laboratory, Centre for Signal and Image Processing, and Department of Electronic and Electrical Engineering
Signal processing and methods for advanced acoustic applications
Schöpfer:
Izzo, Alessio
Datum:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering and Centre for Signal and Image Processing
Active control of femtosatellite swarms for synthetic aperture rada
Schöpfer:
Cao, Jianlin
Datum:
2020
Department, School or Faculty:
Department of Mechanical and Aerospace Engineering
Dense convolutional networks for efficient video analysis
Schöpfer:
Jin, Tian
Datum:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering
Less is more : the neuromorphic engineering advantage
Schöpfer:
Kirkland, Paul
Datum:
2021 and 2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering and Centre for Signal and Image Processing
Low-voltage organic transistors with high transconductance
Schöpfer:
Al Ruzaiqi, Afra Salim Mohamed
Datum:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering
Emotion recognition in video using deep learning method with subtract pre-processing
Schöpfer:
He, Zhihao
Datum:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering and Centre for Signal and Image Processing
Acoustic-based assistive technology tools for dysarthria managment
Schöpfer:
Ijitona, Tolulope Bamidele
Datum:
2020
Department, School or Faculty:
Department of Electronic and Electrical Engineering
Acoustic-based machine learning diagnostic tool for voice disorders
Schöpfer:
Wu, Huiyi
Datum:
2020
Funder:
University of Strathclyde
and
Capita Foundation
Department, School or Faculty:
Department of Electronic and Electrical Engineering
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8
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Schöpfer
Al Ruzaiqi, Afra Salim Mohamed
1
Cao, Jianlin
1
He, Zhihao
1
Ijitona, Tolulope Bamidele
1
Izzo, Alessio
1
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Mitwirkender
Soraghan, John
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10
Di Caterina, Gaetano
3
Lowit, Anja
2
Capita Foundation
1
Gleskova, Helena
1
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Geldgeber
Capita Foundation
1
University of Strathclyde
1
Abteilung, Schule oder Fakultät
Department of Electronic and Electrical Engineering
9
Centre for Signal and Image Processing
5
Department of Mechanical and Aerospace Engineering
1
Neuromorphic Sensor Signal Processing Laboratory
1
Datum
2020
[remove]
10
2021
1