Items where Author is "Tawfik, H"

Article

Khater, T and Tawfik, H and Singh, B (2024) Explainable artificial intelligence for investigating the effect of lifestyle factors on obesity. Intelligent Systems with Applications, 23. pp. 1-13. ISSN 2667-3053 DOI: https://doi.org/10.1016/j.iswa.2024.200427

Yusuf, AB and Kor, A-L and Tawfik, H (2022) Integrating the HFACS Framework and Fuzzy Cognitive Mapping for In-Flight Startle Causality Analysis. Sensors, 22 (3). ISSN 1424-8220 DOI: https://doi.org/10.3390/s22031068

Khan, W and Alusi, S and Tawfik, H and Hussain, A (2021) The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease. PLoS One, 16 (7). ISSN 1932-6203 DOI: https://doi.org/10.1371/journal.pone.0253817

Aningo, NU and Glew, D and Tawfik, H and Hardy, A and Wyatt-Millington, R (2021) Towards A Microgrid Based Residential Home Energy Management Using Genetic Algorithm. Proceedings - International Conference on Developments in eSystems Engineering, DeSE, 13. pp. 15-20. ISSN 2161-1343 DOI: https://doi.org/10.1109/DeSE51703.2020.9450730

Mahoro Ntwari, D and Gutierrez-Reina, D and Toral Marín, SL and Tawfik, H (2021) Time Efficient Unmanned Aircraft Systems Deployment in Disaster Scenarios Using Clustering Methods and a Set Cover Approach. Electronics, 10 (4). ISSN 1450-5843 DOI: https://doi.org/10.3390/electronics10040422

Javed, AR and Sarwar, MU and Beg, MO and Asim, M and Baker, T and Tawfik, H (2020) A collaborative healthcare framework for shared healthcare plan with ambient intelligence. Human-centric Computing and Information Sciences, 10 (1). ISSN 2192-1962 DOI: https://doi.org/10.1186/s13673-020-00245-7

Singh, B and Tawfik, H (2020) Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People. Computational Science – ICCS 2020. ICCS 2020. Lecture Notes in Computer Science, 12140. pp. 523-535. ISSN 0302-9743 DOI: https://doi.org/10.1007/978-3-030-50423-6_39

Khalaf, M and Alaskar, H and Hussain, AJ and Baker, T and Maamar, Z and Buyya, R and Liatsis, P and Khan, W and Tawfik, H and Al-Jumeily, D (2020) IoT-Enabled flood severity prediction via ensemble machine learning models. IEEE Access, 8. pp. 70375-70386. ISSN 2169-3536 DOI: https://doi.org/10.1109/ACCESS.2020.2986090

Tian, D and Deng, J and Vinod, G and Santhosh, TV and Tawfik, H (2018) A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants. Neurocomputing, 322. pp. 102-119. ISSN 0925-2312 DOI: https://doi.org/10.1016/j.neucom.2018.09.014

Baker, T and Aldawsari, B and Asim, M and Tawfik, H and Maamar, Z and Buyya, R (2018) Cloud-SEnergy: A bin-packing based multi-cloud service broker for energy efficient composition and execution of data-intensive applications. Sustainable Computing: Informatics and Systems. ISSN 2210-5379 DOI: https://doi.org/10.1016/j.suscom.2018.05.011

Baker, T and Asim, M and Tawfik, H and Aldawsari, B and Buyya, R (2017) An energy-aware service composition algorithm for multiple cloud-based IoT applications. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 89. pp. 96-108. ISSN 1084-8045 DOI: https://doi.org/10.1016/j.jnca.2017.03.008

Anya, O and Tawfik, H (2016) A model of medical practice for contextual knowledge sharing in collaborative healthcare. International Journal of Medical Engineering and Informatics, 8 (4). pp. 360-389. ISSN 1755-0653 DOI: https://doi.org/10.1504/IJMEI.2016.079364

Anya, O and Tawfik, H (2016) Designing for practice-based context-awareness in ubiquitous e-health environments. COMPUTERS & ELECTRICAL ENGINEERING, 61. pp. 312-326. ISSN 0045-7906 DOI: https://doi.org/10.1016/j.compeleceng.2016.08.012

Conference or Workshop Item

Singh, B and Gorbenko, A and Palczewska, A and Tawfik, H (2023) Application of Machine Learning Techniques to Predict Teenage Obesity Using Earlier Childhood Measurements from Millennium Cohort Study. In: ICCBDC 2023: 2023 7th International Conference on Cloud and Big Data Computing, 17 August 2023 - 19 August 2023, Manchester, UK. DOI: https://doi.org/10.1145/3616131.3616139