|
🐜
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Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort
9 auth.
Benjamin Lam,
M. Catt,
Sophie Cassidy,
J. Bacardit,
Philip Darke,
Sam Butterfield,
...
Ossama S. Alshabrawy,
M. Trenell,
P. Missier
|
4 |
2020 |
4
🐜
|
|
🐜
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Deep learning-based automated speech detection as a marker of social functioning in late-life depression
13 auth.
Bethany Little,
Ossama S. Alshabrawy,
D. Stow,
I. Ferrier,
R. Mcnaney,
D. Jackson,
K. Ladha,
C. Ladha,
T. Ploetz,
J. Bacardit,
...
P. Olivier,
P. Gallagher,
J. O'Brien
|
4 |
2020 |
4
🐜
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🦁
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Underdetermined blind source separation based on Fuzzy C-Means and Semi-Nonnegative Matrix Factorization
Ossama S. Alshabrawy,
W. Awad,
A. Hassanien
|
3 |
2012 |
3
🦁
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|
🐢
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Efficient Noisy Sound-Event Mixture Classification Using Adaptive-Sparse Complex-Valued Matrix Factorization and OvsO SVM
P. Parathai,
N. Tengtrairat,
W. L. Woo,
Mohammed A. M. Abdullah,
Gholamreza Rafiee,
Ossama S. Alshabrawy
|
3 |
2020 |
3
🐢
|
|
🦁
|
Underdetermined blind separation of an unknown number of sources based on Fourier transform and Matrix Factorization
Ossama S. Alshabrawy,
M. E. Ghoneim,
A. A. Salama,
A. Hassanien
|
1 |
2013 |
1
🦁
|
|
🦁
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Underdetermined Blind Separation of Mixtures of an Unknown Number of Sources with Additive White and Pink Noises
Ossama S. Alshabrawy,
A. Hassanien,
A. A. Salama
|
1 |
2014 |
1
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