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An experimental approach on developing an easy user interface for predicting compressive strength of pozzolanic concrete by developing an empirical formula using machine learning techniques
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Abstract
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An experimental approach on developing an easy user interface for predicting compressive strength of pozzolanic concrete by developing an empirical formula using machine learning techniques
ORDINARY APPLICATION
Published
Filed on 14 March 2023
Patent Information
| Application ID | 202341016802 |
| Date of Application | 14/03/2023 |
Documents
| Name | Date |
|---|---|
| 202341016802-COMPLETE SPECIFICATION [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-DECLARATION OF INVENTORSHIP (FORM 5) [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-DRAWINGS [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-EDUCATIONAL INSTITUTION(S) [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-FORM 1 [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-FORM FOR SMALL ENTITY(FORM-28) [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-FORM-9 [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-POWER OF AUTHORITY [14-03-2023(online)].pdf | 14/03/2023 |
| 202341016802-REQUEST FOR EARLY PUBLICATION(FORM-9) [14-03-2023(online)].pdf | 14/03/2023 |
