Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
https://bura.brunel.ac.uk/handle/2438/34126| Title: | A Sustainable ML-Based Predictive Model for Semantically Intelligent Search Optimisation in Recruitment Systems” |
| Authors: | Ajjam, Hassan Al-Raweshidy, Hamed S |
| Keywords: | .;.;.;.;.;. |
| Issue Date: | 2026 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Ajjam, H. and Al-Raweshidy, H. (2026) 'A Sustainable ML-Based Predictive Model for Semantically Intelligent Search Optimisation in Recruitment Systems', IEEE Transactions on Sustainable Computing, 0(accepted, in press) |
| Abstract: | ... |
| Description: | ... |
| URI: | https://bura.brunel.ac.uk/handle/2438/34126 |
| Appears in Collections: | Department of Electronic and Electrical Engineering Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until publication. Copyright ‘For the purpose of open access, the author has applied a ‘Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.’ | 981.24 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
