| A systematic review on supervised and unsupervised machine learning algorithms for data science M Alloghani, D Al-Jumeily, J Mustafina, A Hussain, AJ Aljaaf Supervised and unsupervised learning for data science, 3-21, 2020 | 284 | 2020 |
| Prediction of preterm deliveries from EHG signals using machine learning P Fergus, P Cheung, A Hussain, D Al-Jumeily, C Dobbins, S Iram PloS one 8 (10), e77154, 2013 | 174 | 2013 |
| Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques P Fergus, D Hignett, A Hussain, D Al-Jumeily, K Abdel-Aziz BioMed research international 2015, 2015 | 153 | 2015 |
| A machine learning system for automated whole-brain seizure detection P Fergus, A Hussain, D Hignett, D Al-Jumeily, K Abdel-Aziz, H Hamdan Applied Computing and Informatics 12 (1), 70-89, 2016 | 145 | 2016 |
| Energy efficient electrocoagulation using baffle-plates electrodes for efficient Escherichia Coli removal from Wastewater KS Hashim, P Kot, SL Zubaidi, R Alwash, R Al Khaddar, A Shaw, ... Journal of Water Process Engineering 33, 101079, 2020 | 137 | 2020 |
| Application of convolutional neural networks for automated ulcer detection in wireless capsule endoscopy images H Alaskar, A Hussain, N Al-Aseem, P Liatsis, D Al-Jumeily Sensors 19 (6), 1265, 2019 | 119 | 2019 |
| Electrocoagulation as an eco-friendly River water treatment method KS Hashim, R AlKhaddar, A Shaw, P Kot, D Al-Jumeily, R Alwash, ... Advances in Water Resources Engineering and Management: Select Proceedings …, 2020 | 111 | 2020 |
| Sustainable and environmental friendly ancient reed houses (inspired by the past to motivate the future) D Al-Jumeily, K Hashim, R Alkaddar, M Al-Tufaily, J Lunn 2018 11th International Conference on Developments in eSystems Engineering …, 2018 | 92 | 2018 |
| Assessment of heavy metal pollution in the Great Al-Mussaib irrigation channel II Omran, N Al-Saati, K Hashim, Z Al-Saati, P Kot, RM Al Khaddar, ... Desalination and Water Treatment, 2019 | 85 | 2019 |
| Early prediction of chronic kidney disease using machine learning supported by predictive analytics AJ Aljaaf, D Al-Jumeily, HM Haglan, M Alloghani, T Baker, AJ Hussain, ... 2018 IEEE congress on evolutionary computation (CEC), 1-9, 2018 | 85 | 2018 |
| MoHTAM: A technology acceptance model for mobile health applications AHHM Mohamed, H Tawfik, D Al-Jumeily, L Norton 2011 Developments in E-systems Engineering, 13-18, 2011 | 85 | 2011 |
| IoT-fog optimal workload via fog offloading M Al-Khafajiy, T Baker, A Waraich, D Al-Jumeily, A Hussain 2018 IEEE/ACM international conference on utility and cloud computing …, 2018 | 72 | 2018 |
| Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women AJ Hussain, P Fergus, H Al-Askar, D Al-Jumeily, F Jager Neurocomputing 151, 963-974, 2015 | 65 | 2015 |
| Predicting the likelihood of heart failure with a multi level risk assessment using decision tree AJ Aljaaf, D Al-Jumeily, AJ Hussain, T Dawson, P Fergus, M Al-Jumaily 2015 Third International Conference on Technological Advances in Electrical …, 2015 | 64 | 2015 |
| A systematic review on the status and progress of homomorphic encryption technologies M Alloghani, MM Alani, D Al-Jumeily, T Baker, J Mustafina, A Hussain, ... Journal of Information Security and Applications 48, 102362, 2019 | 58 | 2019 |
| Healthcare services innovations based on the state of the art technology trend industry 4.0 M Alloghani, D Al-Jumeily, A Hussain, AJ Aljaaf, J Mustafina, E Petrov 2018 11th International Conference on Developments in eSystems Engineering …, 2018 | 58 | 2018 |
| Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms P Fergus, A Hussain, D Al-Jumeily, DS Huang, N Bouguila Biomedical engineering online 16 (1), 1-26, 2017 | 57 | 2017 |
| Technology Acceptance Model for the Use of M-Health Services among health related users in UAE M Alloghani, A Hussain, D Al-Jumeily, O Abuelma'atti 2015 International Conference on Developments of E-Systems Engineering (DeSE …, 2015 | 57 | 2015 |
| Boundary delineation of MRI images for lumbar spinal stenosis detection through semantic segmentation using deep neural networks AS Al-Kafri, S Sudirman, A Hussain, D Al-Jumeily, F Natalia, H Meidia, ... IEEE Access 7, 43487-43501, 2019 | 56 | 2019 |
| A novel method of early diagnosis of Alzheimer’s disease based on EEG signals D Al-Jumeily, S Iram, FB Vialatte, P Fergus, A Hussain The scientific world journal 2015, 2015 | 54 | 2015 |
Paul FergusProfessor of Machine Learning at Liverpool John Moores UniversityVerified email at ljmu.ac.uk
