| 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 | 753 | 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 | 200 | 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 (1), 986736, 2015 | 186 | 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 | 183 | 2016 |
| 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 | 164 | 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 | 161 | 2018 |
| 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 | 151 | 2020 |
| 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 | 125 | 2020 |
| Brain tumor and glioma grade classification using Gaussian convolutional neural network M Rizwan, A Shabbir, AR Javed, M Shabbir, T Baker, DAJ Obe IEEE Access 10, 29731-29740, 2022 | 123 | 2022 |
| 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 | 108 | 2011 |
| 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 | 103 | 2019 |
| 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 | 90 | 2018 |
| Assessment of heavy metal pollution in the Great Al-Mussaib irrigation channel II Omran, NH Al-Saati, KS Hashim, ZN Al-Saati, P Kot, R Al Khaddar, ... Desalination and Water Treatment 168, 165-174, 2019 | 89 | 2019 |
| 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 | 89 | 2018 |
| 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 | 85 | 2018 |
| 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 | 83 | 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 | 82 | 2019 |
| 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, 1-26, 2017 | 80 | 2017 |
| IoT-enabled flood severity prediction via ensemble machine learning models M Khalaf, H Alaskar, AJ Hussain, T Baker, Z Maamar, R Buyya, P Liatsis, ... IEEE Access 8, 70375-70386, 2020 | 74 | 2020 |
| 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 | 74 | 2015 |
Paul FergusProfessor of Machine Learning at Liverpool John Moores UniversityBestätigte E-Mail-Adresse bei ljmu.ac.uk