| Water quality analysis system based on unsupervised learning in different states and countries, has regression model for analyzing water quality using random forest algorithm applied as ensemble techniques to predict clean water based on water quality parameters | |
| 2023-10-16 | |
| 专利权人 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 申请日期 | 2023-10-16 |
| 专利号 | IN202341069789-A |
| 成果简介 | NOVELTY - The system has a regression algorithm which is used to assign predefined classes to test instances for evaluation or future instances to an application. A regression model analyzes water quality using random forest algorithm applied as ensemble techniques to predict clean water based on the water quality parameters. The regression is applied to predict the clean and not clean water using random forest algorithm. The analysis of water hardness, solids, turbidity, power of hydrogen (pH) level, sulfate, and conductivity play a major role in assessing water quality. USE - Water quality analysis system based on unsupervised learning in different states and countries. Can also be used for predicting the distribution of data items within a multidimensional space of given data. ADVANTAGE - The system improves water quality and accuracy, ensures that the citizens get to drink clean water, reduces the work of the laboratory technologist and avoids diseases. |
| IPC 分类号 | C02F-001/00 ; D06F-034/22 ; G01N-021/59 ; G01N-033/18 ; G06K-009/62 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/19919 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 推荐引用方式 GB/T 7714 | ETHIRAJULU V,KORA N M S,KUMAR J M,et al. Water quality analysis system based on unsupervised learning in different states and countries, has regression model for analyzing water quality using random forest algorithm applied as ensemble techniques to predict clean water based on water quality parameters. IN202341069789-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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