Please use this identifier to cite or link to this item:
http://umt-ir.umt.edu.my:8080/handle/123456789/21012
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | PSNZ | - |
dc.date.accessioned | 2024-09-29T10:11:51Z | - |
dc.date.available | 2024-09-29T10:11:51Z | - |
dc.date.issued | 2024-09 | - |
dc.identifier.uri | http://umt-ir.umt.edu.my:8080/handle/123456789/21012 | - |
dc.description.abstract | Autonomic computing investigates how systems can achieve (user) specified ‘‘control’’ outcomes on their own, without the intervention of a human operator. Autonomic computing fundamentals have been substantially influenced by those of control theory for closed and open-loop systems. In practice, complex systems may exhibit a number of concurrent and inter-dependent control loops. Despite research into autonomic models for managing computer | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Terengganu | en_US |
dc.subject | LEVERAGING AI | en_US |
dc.subject | HUMAN RESOURCE MANAGEMENT | en_US |
dc.subject | HUMAN RESOURCE | en_US |
dc.subject | AI | en_US |
dc.title | LEVERAGING AI IN HUMAN RESOURCE MANAGEMENT | en_US |
dc.type | Article | en_US |
Appears in Collections: | SDI UMT 2024 |
Files in This Item:
File | Description | Size | Format | |
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9. Leveraging AI in Human Resource Management.pdf | 19.81 MB | Adobe PDF | View/Open |
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