LEADER 01561nam0 2200337 i 450 001 SUN0133305 005 20210416122933.760 010 $d0.00 017 70$2N$a978-94-017-8539-6 100 $a20210408d2014 |0engc50 ba 101 $aeng 102 $aNL 105 $a|||| ||||| 200 1 $a*Advanced Experimental and Numerical Techniques for Cavitation Erosion Prediction$fKi-Han Kim ?$bet al.] editors 205 $aDordrecht : Springer, 2014 210 $axvii$d399 p.$cill. ; 24 cm 215 $aPubblicazione in formato elettronico 410 1$1001SUN0033392$12001 $a*Fluid mechanics and its applications$v106 606 $a74-XX$xMechanics of deformable solids [MSC 2020]$2MF$3SUNC022466 606 $a00A79 (77-XX)$xPhysics [MSC 2020]$2MF$3SUNC023182 606 $a76B10$xJets and cavities, cavitation, free-streamline theory, water-entry problems, airfoil and hydrofoil theory, sloshing [MSC 2020]$2MF$3SUNC023319 606 $a74R20$xAnelastic fracture and damage [MSC 2020]$2MF$3SUNC023486 620 $aNL$dDordrecht$3SUNL000068 702 1$aKim$b, Ki-Han$3SUNV107062 712 $aSpringer$3SUNV000178$4650 801 $aIT$bSOL$c20210426$gRICA 856 4 $uhttp://doi.org/10.1007/978-94-017-8539-6 912 $aSUN0133305 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 2210 $e08eMF2210 20210408 996 $aAdvanced Experimental and Numerical Techniques for Cavitation Erosion Prediction$91770935 997 $aUNICAMPANIA LEADER 01320nam2-2200361---450 001 990002941100203316 005 20220408084511.0 010 $a88-7642-101-7$b(Scuola normale superiore) 010 $a2-7283-0646-X$b(École française de Rome) 010 $a2-903189-68-4$b(Centre J. 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Bibl.$d00159553 959 $aBK 969 $aUMA 996 $aSiti$9823855 997 $aUNISA LEADER 04284nam 22006255 450 001 9910736004203321 005 20230731214306.0 010 $a3-031-29713-X 024 7 $a10.1007/978-3-031-29713-7 035 $a(MiAaPQ)EBC30670602 035 $a(Au-PeEL)EBL30670602 035 $a(DE-He213)978-3-031-29713-7 035 $a(PPN)272250783 035 $a(CKB)27899948000041 035 $a(EXLCZ)9927899948000041 100 $a20230731d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI, IoT, Big Data and Cloud Computing for Industry 4.0 /$fedited by Amy Neustein, Parikshit N. Mahalle, Prachi Joshi, Gitanjali Rahul Shinde 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (589 pages) 225 1 $aSignals and Communication Technology,$x1860-4870 311 08$aPrint version: Neustein, Amy AI, IoT, Big Data and Cloud Computing for Industry 4. 0 Cham : Springer International Publishing AG,c2023 9783031297120 327 $aIntroduction -- Section 1: Fundamentals of the Industry 4.0 -- Fundamental of IoT -- Architecture of IoT -- Automation -- Big data challenges -- Cloud computing services -- convergence of IoT and cloud computing -- Section 2: Emerging trends in Artificial Intelligence -- Knowledge representation -- Machine learning -- Deep learning -- AI based industry automation -- Section 3: AI based data management, architecture and framework -- Algorithms and techniques for data management and cloud -- Reference architectures -- Frameworks for integrating IoT, ML and Cloud -- Section 4: Software Portability and Virtual Machine Design -- Virtual Machine designs -- VM design and programming-language/compiler theory concerns -- Section 5: Security for industry 4.0 -- Industry 4.0 -- Artificial intelligence -- Machine Learning -- Signal Processing -- Multimedia -- Big data -- Software Portability -- Virtual Machines -- Conclusion. . 330 $aThis book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as ?Industry 4.0.? The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML. 410 0$aSignals and Communication Technology,$x1860-4870 606 $aComputational intelligence 606 $aTelecommunication 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aCommunications Engineering, Networks 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aTelecommunication. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aCommunications Engineering, Networks. 615 24$aArtificial Intelligence. 676 $a658.40380285 676 $a658.40380285 700 $aNeustein$b Amy$01380473 701 $aMahalle$b Parikshit N$0947748 701 $aJoshi$b Prachi$01380474 701 $aShinde$b Gitanjali Rahul$01380475 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910736004203321 996 $aAI, IoT, Big Data and Cloud Computing for Industry 4.0$93566811 997 $aUNINA