| Reference Type | Journal (article/letter/editorial) |
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| Title | Evaluation and Analysis of Bio-Inspired Optimization Techniques for Bill Estimation in Fog Computing |
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| Journal | International Journal of Advanced Computer Science and Applications |
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| Authors | Arshad, Hafsa | Author |
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| Ali, Hasan | Author |
| Ali, Munam | Author |
| Abbas, Assad | Author |
| Ameer, Zoobia | Author |
| Year | 2018 | Volume | 9 |
|---|
| Publisher | The Science and Information Organization |
|---|
| DOI | doi:10.14569/ijacsa.2018.090727Search in ResearchGate |
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| Generate Citation Formats |
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| Mindat Ref. ID | 10372642 | Long-form Identifier | mindat:1:5:10372642:9 |
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|
| GUID | 0 |
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| Full Reference | Arshad, Hafsa, Ali, Hasan, Ali, Munam, Abbas, Assad, Ameer, Zoobia (2018) Evaluation and Analysis of Bio-Inspired Optimization Techniques for Bill Estimation in Fog Computing. International Journal of Advanced Computer Science and Applications, 9. doi:10.14569/ijacsa.2018.090727 |
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| Plain Text | Arshad, Hafsa, Ali, Hasan, Ali, Munam, Abbas, Assad, Ameer, Zoobia (2018) Evaluation and Analysis of Bio-Inspired Optimization Techniques for Bill Estimation in Fog Computing. International Journal of Advanced Computer Science and Applications, 9. doi:10.14569/ijacsa.2018.090727 |
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| In | (n.d.) International Journal of Advanced Computer Science and Applications Vol. 9. The Science and Information Organization |
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