001431674 000__ 04101cam\a2200637\a\4500 001431674 001__ 1431674 001431674 003__ OCoLC 001431674 005__ 20230309003235.0 001431674 006__ m\\\\\o\\d\\\\\\\\ 001431674 007__ cr\un\nnnunnun 001431674 008__ 200730s2021\\\\sz\\\\\\o\\\\\101\0\eng\d 001431674 019__ $$a1179001436$$a1181845188$$a1193272945$$a1195445361$$a1196168041$$a1197566375$$a1198150454$$a1198818927$$a1240508884$$a1249223173 001431674 020__ $$a9783030539702$$q(electronic bk.) 001431674 020__ $$a3030539709$$q(electronic bk.) 001431674 020__ $$a9783030539719$$q(print) 001431674 020__ $$a3030539717 001431674 020__ $$z3030539695 001431674 020__ $$z9783030539696 001431674 0247_ $$a10.1007/978-3-030-53970-2$$2doi 001431674 0248_ $$a10.1007/978-3-030-53 001431674 035__ $$aSP(OCoLC)1178786173 001431674 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dLQU$$dOCLCF$$dEBLCP$$dNLW$$dVT2$$dOCLCO$$dCOM$$dOCLCO$$dOCLCQ 001431674 049__ $$aISEA 001431674 050_4 $$aTA347.A78 001431674 08204 $$a620.00285/63$$223 001431674 1112_ $$aA2IA (Conference)$$n(1st :$$d2020 :$$cMeknes, Morocco) 001431674 24510 $$aArtificial intelligence and industrial applications :$$bartificial intelligence techniques for cyber-physical, digital twin systems and engineering applications /$$cTawfik Masrour, Ibtissam El Hassani, Anass Cherrafi, editors. 001431674 260__ $$aCham :$$bSpringer,$$c[2021] 001431674 300__ $$a1 online resource 001431674 336__ $$atext$$btxt$$2rdacontent 001431674 337__ $$acomputer$$bc$$2rdamedia 001431674 338__ $$aonline resource$$bcr$$2rdacarrier 001431674 347__ $$atext file 001431674 347__ $$bPDF 001431674 4901_ $$aLecture notes in networks and systems,$$x2367-3370 ;$$vv. 144 001431674 500__ $$aIncludes author index. 001431674 5050_ $$aA Study of Energy Reduction Strategies in Renewable Hybrid Grid -- Classification and Watermarking of Brain Tumor using Artificial and Convolutional Neural Networks -- A Proposal for a Deep Learning Model to Enhance Student Guidance and Reduce Dropout -- EduBot: An Unsupervised Domain-Specific Chatbot for Educational Institutions -- SQL Generation from Natural Language using Supervised Learning and Recurrent Neural Networks -- Toward Intelligent Solution to Identify Learner Attitude from Source Code. 001431674 506__ $$aAccess limited to authorized users. 001431674 520__ $$aThis book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco. The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education. The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject. 001431674 650_0 $$aArtificial intelligence$$xIndustrial applications$$vCongresses. 001431674 650_6 $$aIntelligence artificielle$$xApplications industrielles$$vCongrès. 001431674 655_7 $$aConference papers and proceedings$$2fast$$0(OCoLC)fst01423772 001431674 655_7 $$aConference papers and proceedings.$$2lcgft 001431674 655_7 $$aActes de congrès.$$2rvmgf 001431674 655_0 $$aElectronic books. 001431674 7001_ $$aMasrour, Tawfik. 001431674 7001_ $$aEl Hassani, Ibtissam. 001431674 7001_ $$aCherrafi, Anass. 001431674 77608 $$iPrint version:$$aA2IA (Conference) (1st : 2020 : Meknes, Morocco).$$tArtificial intelligence and industrial applications.$$dCham : Springer, [2021]$$z3030539695$$z9783030539696$$w(OCoLC)1159047123 001431674 830_0 $$aLecture notes in networks and systems ;$$vv. 144. 001431674 852__ $$bebk 001431674 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-53970-2$$zOnline Access$$91397441.1 001431674 909CO $$ooai:library.usi.edu:1431674$$pGLOBAL_SET 001431674 980__ $$aBIB 001431674 980__ $$aEBOOK 001431674 982__ $$aEbook 001431674 983__ $$aOnline 001431674 994__ $$a92$$bISE