01786nas 2200517-a 450 99632171190331620230404213020.01452-8185(DE-599)ZDB2227182-X(OCoLC)70880928(CKB)1000000000222834(CONSER)--2006249150(EXLCZ)99100000000022283420060811a20029999 s-- aengurcnu||||||||txtrdacontentcrdamediacrrdacarrierNuclear technology & radiation protection[Vinča, Grocka, Serbia] Vinča Institut of Nuclear Sciences2002-1 online resourceTitle from journal home page (publisher's Web site, viewed Aug. 11, 2006).1451-3994 Nuclear technology and radiation protectionNUCL TECHNOL RADIATNucl. Techn. & Rad. Protect.Nuclear industryPeriodicalsNuclear energyResearchPeriodicalsNuclear physicsResearchPeriodicalsNuclear energyResearchfast(OCoLC)fst01039999Nuclear industryfast(OCoLC)fst01040250Nuclear physicsResearchfast(OCoLC)fst01040411Periodicals.fastNuclear EngineeringNuclear industryNuclear energyResearchNuclear physicsResearchNuclear energyResearch.Nuclear industry.Nuclear physicsResearch.Institut za nuklearne nauke "Boris Kidrič",JOURNAL996321711903316Nuclear technology & radiation protection2225630UNISA02342nam 22005293 450 991104402650332120250821173203.00-443-29059-8(MiAaPQ)EBC32112581(Au-PeEL)EBL32112581(CKB)38791102100041(OCoLC)1520914631(EXLCZ)993879110210004120250311d2025 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine learning tools for chemical engineering methodologies and applications /Francisco Javier López-Flores, Rogelio Ochoa-Barragán, Alma Yunuen Raya-Tapia, César Ramírez-Márquez, José Maria Ponce-Ortega1st ed.Elsevier Science [Imprint]San Diego Elsevier Science & Technology BooksSaint Louis Elsevier [Distributor]Saint Louis Elsevier [Distributor]Chantilly :Elsevier Science & Technology,2025.©2026.1 online resource (630 pages)0-443-29058-X Machine Learning Tools for Chemical Engineering: Methodologies and Applications examines how machine learning (ML) techniques are applied in the field, offering precise, fast, and flexible solutions to address specific challenges.ML techniques and methodologies offer significant advantages (such as accuracy, speed of execution, and flexibility).Chemical engineeringData processingMachine learningIndustrial applicationsGénie chimiqueInformatiqueApprentissage automatiqueApplications industriellesChemical engineeringData processing.Machine learningIndustrial applications.Génie chimiqueInformatique.Apprentissage automatiqueApplications industrielles.660.0285631López-Flores Francisco Javier1851466Raya-Tapia Alma YunuenOchoa-Barragán RogelioRamírez-Márquez CésarMiAaPQMiAaPQMiAaPQ0BOOK9911044026503321Machine learning tools for chemical engineering4460823UNINA