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Project News Details
| Title |
Low-cost machine learning framework for snail trail detection in PV panels |
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|---|---|---|---|---|
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| Detail |
Conceived by French scientists, the novel system uses ensemble learning and does not require anything more than a commercially available optimizer. Before it makes a decision, the method combines K nearest neighbors, support vector machine, and decision tree learning. Accuracy is reportedly up to 89%.
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| Country | ||||
| Source | PV-Magazine | |||
| Regions | Africa Asia Australia Europe North America Oceania South America | |||
| Sectors | Railways-Rail-Railroad Construction Energy-Power and Electrical Computer Hardwares and Consumables | |||
| Published Date | 03.09.2024 | |||
| Original Url | Original Url | |||
| Share | ||||
International
| Title |
|---|
|
Low-cost machine learning framework for snail trail detection in PV panels
|
| Detail |
| Conceived by French scientists, the novel system uses ensemble learning and does not require anything more than a commercially available optimizer. Before it makes a decision, the method combines K nearest neighbors, support vector machine, and decision tree learning. Accuracy is reportedly up to 89%. |
| Country |
|
International
|
| Source |
| PV-Magazine |
| Regions |
| Africa Asia Australia Europe North America Oceania South America |
| Sectors |
| Railways-Rail-Railroad Construction Energy-Power and Electrical Computer Hardwares and Consumables |
| Published Date |
| 03.09.2024 |
| Original Url |
| Share |
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