Items where Gloucestershire Author is "Sayers, Will"

Article

Henshaw, Bassey, Mishra, Bhupesh Kumar, Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409 and Pervez, Zeeshan (2025) Unveiling the Impact of Socioeconomic and Demographic Factors on Graduate Salaries: A Machine Learning Explanatory Analytical Approach Using Higher Education Statistical Agency Data. Analytics, 4 (1). p. 10. doi:10.3390/analytics4010010

Loukil, Zainab ORCID: https://orcid.org/0000-0003-2731-7051, Ali Mirza, Qublai Khan ORCID: https://orcid.org/0000-0003-3403-2935, Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409 and Awan, Irfan (2024) A Deep Learning Based Scalable and Adaptive Feature Extraction Framework for Medical Images. Information Systems Frontiers, 26 (4). pp. 1279-1305. doi:10.1007/s10796-023-10391-9

Hamal, Susmita, Mishra, Bhupesh ORCID: https://orcid.org/0000-0003-3430-8989, Baldock, Robert, Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409, Adhikari, Tek Narayan and Gibson, Ryan M. (2024) A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images. Decision Analytics Journal, 11. Art 100460. doi:10.1016/j.dajour.2024.100460

Wosah, Peace Nmachi, Ali Mirza, Qublai Khan ORCID: https://orcid.org/0000-0003-3403-2935 and Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409 (2024) Analysing the email data using stylometric method and deep learning to mitigate phishing attack. International Journal of Information Technology. doi:10.1007/s41870-024-01839-5 (In Press)

Fan, Xumei, Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409, Zhang, Shujun ORCID: https://orcid.org/0000-0001-5699-2676, Han, Zhiwu, Ren, Luquan and Chizari, Hassan ORCID: https://orcid.org/0000-0002-6253-1822 (2020) Review and Classification of Bio-inspired Algorithms and Their Applications. Journal of Bionic Engineering, 17 (3). pp. 611-631. doi:10.1007/s42235-020-0049-9

Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409, Savic, Dragan and Kapelan, Zoran (2019) Performance of LEMMO with artificial neural networks for water systems optimisation. Urban Water Journal, 16 (1). pp. 21-32. doi:10.1080/1573062X.2019.1611886

Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409, Savić, D., Kapelan, Z. and Kellagher, R. (2014) Artificial Intelligence Techniques for Flood Risk Management in Urban Environments. Procedia Engineering, 70. pp. 1505-1512. doi:10.1016/j.proeng.2014.02.165

Book Section

Loukil, Zainab ORCID: https://orcid.org/0000-0003-2731-7051, Ali Mirza, Qublai Khan ORCID: https://orcid.org/0000-0003-3403-2935 and Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409 (2024) A Novel and Adaptive Evaluation Mechanism for Deep Learning Models in Medical Imaging and Disease Recognition. In: 2023 10th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, pp. 270-277. ISBN 9798350316353

Darlington-Njoku, Chidinma, Mishra, Bhupesh ORCID: https://orcid.org/0000-0003-3430-8989 and Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409 (2023) Fault Log Text Classification Using Natural Language Processing And Machine Learning For Decision Support. In: 2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). IEEE, pp. 98-103. ISBN 9781665493345

Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409 (2021) Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering. In: Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies. Advances in E-Business Research Book Series . IGI Global, Hershey PA, pp. 55-72. ISBN 9781799877127

Conference or Workshop Item

Shahid, Usama ORCID: https://orcid.org/0009-0005-6360-333X, Hussain, Muhammad Zunnurain and Sayers, William ORCID: https://orcid.org/0000-0003-1677-4409 (2025) Computational Analysis of Quran Text Using Machine Learning and Large Language Models. In: 2025 8th International Conference on Data Science and Machine Learning Applications (CDMA), 16-17 February 2025, Riyadh, Saudi Arabia. ISBN 979-8-3315-3969-6