| 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 | 182 | 2013 |
| 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 | 57 | 2015 |
| Home-based health monitoring and measurement for personalised healthcare P Fergus, S Iram, D Al-Jumeily, M Randles, A Attwood Journal of Medical Imaging and Health Informatics 2 (1), 35-43, 2012 | 23 | 2012 |
| Early diagnosis of neurodegenerative diseases from gait discrimination to neural synchronization S Iram, FB Vialatte, MI Qamar Applied computing in medicine and health, 1-26, 2016 | 18 | 2016 |
| A dynamic multi-mobile agent itinerary planning approach in wireless sensor networks via intuitionistic fuzzy set T Alsboui, R Hill, H Al-Aqrabi, HMA Farid, M Riaz, S Iram, HM Shakeel, ... Sensors 22 (20), 8037, 2022 | 12 | 2022 |
| Early detection method of Alzheimer’s disease using EEG signals D Al-Jumeily, S Iram, AJ Hussain, V Francois-Benois, P Fergus Intelligent Computing in Bioinformatics: 10th International Conference, ICIC …, 2014 | 11 | 2014 |
| Computational data analysis for movement signals based on statistical pattern recognition techniques for neurodegenerative diseases S Iram, D Al-Jumeily, P Fergus, M Randles, A Hussain 13th Annual Post Graduate Symposium on the Convergence of Telecommunications …, 2012 | 11 | 2012 |
| An integrated web-based e-assessment tool S Iram, D Al-Jumeily, J Lunn 2011 Developments in E-systems Engineering, 271-275, 2011 | 10 | 2011 |
| A comprehensive state-of-the-art survey on data visualization tools: research developments, challenges and future domain specific visualization framework HM Shakeel, S Iram, H Al-Aqrabi, T Alsboui, R Hill IEEE Access, 2022 | 9 | 2022 |
| A classifier fusion strategy to improve the early detection of neurodegenerative diseases S Iram, P Fergus, D Al–Jumeily, A Hussain, M Randles International Journal of Artificial Intelligence and Soft Computing 5 (1), 23-44, 2015 | 9 | 2015 |
| Protecting critical infrastructures through behavioural observation W Hurst, M Merabti, S Iram, P Fergus International journal of critical infrastructures 10 (2), 174-192, 2014 | 9 | 2014 |
| Connecting to smart cities: analyzing energy times series to visualize monthly electricity peak load in residential buildings S Iram, T Fernando, R Hill Proceedings of the Future Technologies Conference (FTC) 2018: Volume 1, 333-342, 2019 | 7 | 2019 |
| Exploring cross-domain data dependencies for smart homes to improve energy efficiency S Iram, T Fernando, M Bassanino Companion Proceedings of the10th International Conference on Utility and …, 2017 | 6 | 2017 |
| Early detection of neurodegenerative diseases from bio-signals: A machine learning approach S Iram PQDT-UK & Ireland, 2014 | 6 | 2014 |
| Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers S Iram, D Al Jumeily, P Fergus, A Hussain 2014 Eighth International Conference on Complex, Intelligent and Software …, 2014 | 3 | 2014 |
| A novel hybrid engineering methodology to enhance collaboration during the design and development of meta product services S Iram, T Fernando, M Bassanino Collaboration in a Hyperconnected World: 17th IFIP WG 5.5 Working Conference …, 2016 | 2 | 2016 |
| E-health: the potential of linked data and stream reasoning for personalised healthcare S Iram, D Al-Jumeily, P Fergus, M Randles, M Davies 2011 Developments in E-systems Engineering, 46-49, 2011 | 2 | 2011 |
| A novel method to analyze EEG synchrony for the early diagnosis of Alzheimer's disease in optimized frequency bands D Al-Jumeily, S Iram, F Vialatte, P Fergus 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), 1-4, 2014 | 1 | 2014 |
| A web-based visual analytics platform to explore smart houses energy data for stakeholders: A case study of houses in the area of Manchester S Iram, HM Shakeel, HMA Farid, R Hill, T Fernando Energy and Buildings 296, 113342, 2023 | | 2023 |
| An Innovative Machine Learning Technique for the Prediction of Weather Based Smart Home Energy Consumption S Iram, H Al-Aqrabi, HM Shakeel, HMA Farid, M Riaz, R Hill, P Vethathir, ... IEEE Access, 2023 | | 2023 |
Paul FergusProfessor of Machine Learning at Liverpool John Moores UniversityVerified email at ljmu.ac.uk
