Maia Angelova
Maia Angelova
Professor of AI in Health Aston University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
Clustering-enhanced stock price prediction using deep learning
M Li, Y Zhu, Y Shen, M Angelova
World wide web 26 (1), 207-232, 2023
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 distance scaling method to improve density-based clustering
Y Zhu, KM Ting, M Angelova
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
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