Maia Angelova
Maia Angelova
Professor of AI in Health Aston University
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Zitiert von
Zitiert von
Detecting sensor faults, anomalies and outliers in the internet of things: A survey on the challenges and solutions
A Gaddam, T Wilkin, M Angelova, J Gaddam
Electronics 9 (3), 511, 2020
HACDB: Handwritten Arabic characters database for automatic character recognition
A Lawgali, M Angelova, A Bouridane
European workshop on visual information processing (EUVIP), 255-259, 2013
Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews
SD Tagliaferri, M Angelova, X Zhao, PJ Owen, CT Miller, T Wilkin, ...
NPJ digital medicine 3 (1), 93, 2020
Handwritten Arabic character recognition: Which feature extraction method?
A Lawgali, A Bouridane, M Angelova, Z Ghassemlooy
International Journal of Advanced Science and Technology 34, 1-8, 2011
Effective denoising and adaptive equalization of indoor optical wireless channel with artificial light using the discrete wavelet transform and artificial neural network
S Rajbhandari, Z Ghassemlooy, M Angelova
Journal of Lightwave technology 27 (20), 4493-4500, 2009
Generalized and Gaussian coherent states for the Morse potential
M Angelova, V Hussin
Journal of Physics A: Mathematical and Theoretical 41 (30), 304016, 2008
Multiscale adaptive analysis of circadian rhythms and intradaily variability: Application to actigraphy time series in acute insomnia subjects
R Fossion, AL Rivera, JC Toledo-Roy, J Ellis, M Angelova
PLoS One 12 (7), e0181762, 2017
Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: a data mining approach
JF Easton, CR Stephens, M Angelova
Computers in Biology and Medicine 54, 199-210, 2014
Technical determinants of success in professional women’s soccer: A wider range of variables reveals new insights
LMS De Jong, PB Gastin, M Angelova, L Bruce, DB Dwyer
PloS one 15 (10), e0240992, 2020
Anomaly detection models for detecting sensor faults and outliers in the IoT-a survey
A Gaddam, T Wilkin, M Angelova
2019 13th International Conference on Sensing Technology (ICST), 1-6, 2019
Squeezed coherent states and the one-dimensional Morse quantum system
M Angelova, A Hertz, V Hussin
Journal of Physics A: Mathematical and Theoretical 45 (24), 244007, 2012
Targeted projection pursuit for visualizing gene expression data classifications
J Faith, R Mintram, M Angelova
Bioinformatics 22 (21), 2667-2673, 2006
Complexity analysis of sleep and alterations with insomnia based on non-invasive techniques
PM Holloway, M Angelova, S Lombardo, A St Clair Gibson, D Lee, J Ellis
Journal of The Royal Society Interface 11 (93), 20131112, 2014
Clustering-enhanced stock price prediction using deep learning
M Li, Y Zhu, Y Shen, M Angelova
World Wide Web 26 (1), 207-232, 2023
Bit error performance of diffuse indoor optical wireless channel pulse position modulation system employing artificial neural networks for channel equalisation
S Rajbhandari, Z Ghassemlooy, M Angelova
IET optoelectronics 3 (4), 169-179, 2009
Simple applications of q-bosons
M Angelova, VK Dobrev, A Frank
Journal of Physics A: Mathematical and General 34 (37), L503, 2001
Wavelet—Artificial neural network receiver for indoor optical wireless communications
S Rajbhandari, Z Ghassemlooy, M Angelova
Journal of lightwave technology 29 (17), 2651-2659, 2011
Automated method for detecting acute insomnia using multi-night actigraphy data
M Angelova, C Karmakar, Y Zhu, SPA Drummond, J Ellis
IEEE Access 8, 74413-74422, 2020
Investigation of stability in a two-delay model of the ultradian oscillations in glucose–insulin regulation
B Huard, JF Easton, M Angelova
Communications in Nonlinear Science and Numerical Simulation 26 (1-3), 211-222, 2015
A Frame Work For Arabic Handwritten Recognition Based on Segmentation
A Lawgali, M Angelova, A Bouridane
University of Benghazi, 2014
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