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| Published in: | IEEE Access |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030192353148928 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IEEE Access |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:12883 |
| institution | FRELIP |
| journal_source_facet | IEEE Access |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Adaptive Incident Escalation in SOCs via AI-Driven Skill-Aware Assignment and Tier Optimization Computer Sciience Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Computer Sciience Technology & Engineering — Computing Technology & Engineering Computer Sciience Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Computer Sciience Technology & Engineering — Computing Technology & Engineering |
| title | Adaptive Incident Escalation in SOCs via AI-Driven Skill-Aware Assignment and Tier Optimization |
| title_auth | Adaptive Incident Escalation in SOCs via AI-Driven Skill-Aware Assignment and Tier Optimization |
| title_full | Adaptive Incident Escalation in SOCs via AI-Driven Skill-Aware Assignment and Tier Optimization |
| title_fullStr | Adaptive Incident Escalation in SOCs via AI-Driven Skill-Aware Assignment and Tier Optimization |
| title_full_unstemmed | Adaptive Incident Escalation in SOCs via AI-Driven Skill-Aware Assignment and Tier Optimization |
| title_short | Adaptive Incident Escalation in SOCs via AI-Driven Skill-Aware Assignment and Tier Optimization |
| title_sort | adaptive incident escalation in socs via ai-driven skill-aware assignment and tier optimization |
| topic | Computer Sciience Technology & Engineering — Computing Technology & Engineering |
| url | http://ieeexplore.ieee.org/document/11478241 |