01135nam0 2200289 i 450 SUN001852020160331112344.49588-7051-217-720040629d1999 |0itac50 baitaIT|||| |||||ˆLa ‰cellulaa cura di Pasquale Rosati, Roberto Colombo2. edMilanoErmes1999XIX, 427 p.ill.26 cm.MilanoSUNL000284611.0181Citologia. Biologia della cellula22Rosati, PasqualeSUNV014549Colombo, RobertoSUNV014562ErmesSUNV000140650ITSOL20181109RICASUN0018520UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE17 CONS Ia33 17 FSA1639 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHEIT-CE0101FSA1639CONS Ia33caCellula79198UNICAMPANIA01494nam0 22003853i 450 VAN027845520240624095520.822N978981196278320240624d2022 |0itac50 baengSG|||| |||||Machine Learning Applied to Composite MaterialsVinod Kushvaha ... [et al.] editorsSingaporeSpringer2022vi, 198 p.ill.24 cm001VAN02433592001 Composites Science and Technology210 SingaporeSpringer2020-Artificial neural networkKW:KCarbon Fiber-Reinforced LaminatesKW:KComposite Material DesignKW:KFracture Toughness PredictionKW:KGlass Fiber Reinforced PolymerKW:KMachine learningKW:KMaterials modellingKW:KNatural Fiber BiocompositeKW:KParticulate Polymer CompositeKW:KSilica-Filled Polymer CompositeKW:KSGSingaporeVANL000061KushvahaVinodVANV231008Springer <editore>VANV108073650ITSOL20240628RICAhttps://doi.org/10.1007/978-981-19-6278-3E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethNVAN0278455Machine learning applied to composite materials3088803UNICAMPANIA