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"Soft Sensors for Monitoring and Control of Industrial Processes" (Springer 2007) for more info.", "format": "ARFF", "uploader": "Manuel Martin Salvador", "uploader_id": 225, "visibility": "public", "creator": "\"Fortuna\",\"L.\",\"Graziani\",\"S.\",\"Rizzo\",\"A.\",\"Xibilia\",\"M.G.\"", "contributor": null, "date": "2016-07-06 17:22:53", "update_comment": null, "last_update": "2016-07-06 17:22:53", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/2095629\/phpBXEqg1", "default_target_attribute": "y1", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "sulfur", ""The sulfur recovery unit (SRU) removes environmental pollutants from acid gas streams before they are released into the atmosphere. Furthermore, elemental sulfur is recovered as a valuable by-product." 5 inputs variables are gas and air flows. 2 outputs to predict are H2S and SO2 concentrations See Appendix A.5 of Fortuna, L., Graziani, S., Rizzo, A., Xibilia, M.G. "Soft Sensors for Monitoring and Control of Industrial Processes" (Springer 2007) for more info. 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