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Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory
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| Published in: | Complex & Intelligent Systems |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1871928154057080833 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Complex & Intelligent Systems |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:107240 |
| institution | FRELIP |
| journal_source_facet | Complex & Intelligent Systems |
| last_indexed | 2026-07-28T03:36:42.653Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory |
| title_alt | Factorización de matriz de rango no negativo profunda robusta para mejorar la eficiencia de la controlabilidad en redes temporales utilizando teoría de juegos de estrategia mixta Factorisation matricielle robuste de rang non négatif profond pour améliorer l'efficacité de la contrôlabilité dans les réseaux temporels en utilisant la théorie des jeux à stratégie mixte Fatoração de matriz de posto não negativo profunda robusta para aumentar a eficiência da controlabilidade em redes temporais usando teoria dos jogos de estratégia mista |
| title_auth | Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory |
| title_es_txt | Factorización de matriz de rango no negativo profunda robusta para mejorar la eficiencia de la controlabilidad en redes temporales utilizando teoría de juegos de estrategia mixta |
| title_fr_txt | Factorisation matricielle robuste de rang non négatif profond pour améliorer l'efficacité de la contrôlabilité dans les réseaux temporels en utilisant la théorie des jeux à stratégie mixte |
| title_full | Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory |
| title_fullStr | Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory |
| title_full_unstemmed | Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory |
| title_pt_txt | Fatoração de matriz de posto não negativo profunda robusta para aumentar a eficiência da controlabilidade em redes temporais usando teoria dos jogos de estratégia mista |
| title_short | Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory |
| title_sort | robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory |
| topic | Computer Science General Computer Science |
| url | https://link.springer.com/article/10.1007/s40747-026-02438-6 |