KASUAN, NURHANI BINTI (2009) Modeling of Energy Trending Based on Pressure, Temperature and Various Gas Components of Natural Gas to Predict Potential Billing Error by Means of Artificial Intelligent Techniques and Regression Methods. UNSPECIFIED.
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| Item Type: | Other |
|---|---|
| PRISMA ID: | 27464 |
| URI: | http://oarr.uitm.edu.my/id/eprint/14463 |
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