| Advanced artificial neural network classification for detecting preterm births using EHG records P Fergus, I Idowu, A Hussain, C Dobbins Neurocomputing 188, 42-49, 2016 | 97 | 2016 |
| Artificial intelligence for detecting preterm uterine activity in gynecology and obstetric care IO Idowu, P Fergus, A Hussain, C Dobbins, M Khalaf, RVC Eslava, ... 2015 IEEE international conference on computer and information technology …, 2015 | 47 | 2015 |
| Securing things in the healthcare internet of things Á MacDermott, P Kendrick, I Idowu, M Ashall, Q Shi 2019 Global IoT Summit (GIoTS), 1-6, 2019 | 36 | 2019 |
| Advance flood detection and notification system based on sensor technology and machine learning algorithm M Khalaf, AJ Hussain, D Al-Jumeily, P Fergus, IO Idowu 2015 International Conference on Systems, Signals and Image Processing …, 2015 | 33 | 2015 |
| Forensic analysis of wearable devices: Fitbit, Garmin and HETP Watches A MacDermott, S Lea, F Iqbal, I Idowu, B Shah 2019 10th IFIP International Conference on New Technologies, Mobility and …, 2019 | 27 | 2019 |
| Recurrent neural network architectures for analysing biomedical data sets M Khalaf, AJ Hussain, R Keight, D Al-Jumeily, R Keenan, C Chalmers, ... 2017 10th International Conference on Developments in eSystems Engineering …, 2017 | 19 | 2017 |
| The utilisation of composite machine learning models for the classification of medical datasets for sickle cell disease M Khalaf, AJ Hussain, R Keight, D Al-Jumeily, R Keenan, P Fergus, ... 2016 Sixth International Conference on Digital Information Processing and …, 2016 | 18 | 2016 |
| Advance artificial neural network classification techniques using EHG for detecting preterm births IO Idowu, P Fergus, A Hussain, C Dobbins, H Al Askar 2014 Eighth International Conference on Complex, Intelligent and Software …, 2014 | 16 | 2014 |
| Training neural networks as experimental models: classifying biomedical datasets for sickle cell disease M Khalaf, AJ Hussain, D Al-Jumeily, R Keight, R Keenan, P Fergus, ... Intelligent Computing Theories and Application: 12th International …, 2016 | 14 | 2016 |
| Classification techniques using EHG signals for detecting preterm births IO Idowu PQDT-UK & Ireland, 2017 | 13 | 2017 |
| Robust approach for medical data classification and deploying self-care management system for sickle cell disease M Khalaf, AJ Hussain, D Al-Jumeily, R Keenan, P Fergus, IO Idowu 2015 IEEE International Conference on Computer and Information Technology …, 2015 | 12 | 2015 |
| Applied difference techniques of machine learning algorithm and web-based management system for sickle cell disease M Khalaf, AJ Hussain, D Al-Jumeily, R Keenan, R Keight, P Fergus, ... 2015 International Conference on Developments of E-Systems Engineering (DeSE …, 2015 | 11 | 2015 |
| A performance evaluation of systematic analysis for combining multi-class models for sickle cell disorder data sets M Khalaf, AJ Hussain, D Al-Jumeily, R Keight, R Keenan, AS Al Kafri, ... Intelligent Computing Theories and Application: 13th International …, 2017 | 9 | 2017 |
| Evaluation of advanced artificial neural network classification and feature extraction techniques for detecting preterm births using ehg records P Fergus, IO Idowu, AJ Hussain, C Dobbins, H Al-Askar Intelligent Computing in Bioinformatics: 10th International Conference, ICIC …, 2014 | 3 | 2014 |
| Ad-Hoc Cloud Networks: A Probabilistic Model for Vulnerability Detection in Critical Infrastructure Using Bayesian Networks IO Idowu, Q Shi, M Merabti, K Kifayat | 3 | 2012 |
| Conference Reviewers M Alloghani, D Al-Jumeily, J Mustafina, MJ Hind, K Hashim, ZH Majeed, ... | | |
