001438345 000__ 05277cam\a2200685\a\4500 001438345 001__ 1438345 001438345 003__ OCoLC 001438345 005__ 20230309004300.0 001438345 006__ m\\\\\o\\d\\\\\\\\ 001438345 007__ cr\un\nnnunnun 001438345 008__ 210723s2021\\\\sz\\\\\\o\\\\\101\0\eng\d 001438345 019__ $$a1261365656$$a1266286142$$a1268573521 001438345 020__ $$a9783030804756$$q(electronic bk.) 001438345 020__ $$a3030804755$$q(electronic bk.) 001438345 020__ $$z3030804747 001438345 020__ $$z9783030804749 001438345 0247_ $$a10.1007/978-3-030-80475-6$$2doi 001438345 035__ $$aSP(OCoLC)1261303943 001438345 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dVT2$$dOCLCF$$dUKAHL$$dVLB$$dDKU$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001438345 049__ $$aISEA 001438345 050_4 $$aQ325.5$$b.I58 2021eb 001438345 08204 $$a006.3/1$$223 001438345 1112_ $$aInternational Conference on Artificial Intelligence and Logistics Engineering$$d(2021 :$$cKyiv, Ukraine) 001438345 24510 $$aAdvances in artificial systems for logistics engineering /$$cZhengbing Hu, Qingying Zhang, Sergey Petoukhov, Matthew He, editors. 001438345 2463_ $$aICAILE 2021 001438345 264_1 $$aCham :$$bSpringer,$$c2021. 001438345 264_4 $$c©2021 001438345 300__ $$a1 online resource (viii, 380 pages) 001438345 336__ $$atext$$btxt$$2rdacontent 001438345 337__ $$acomputer$$bc$$2rdamedia 001438345 338__ $$aonline resource$$bcr$$2rdacarrier 001438345 347__ $$atext file 001438345 347__ $$bPDF 001438345 4901_ $$aLecture notes on data engineering and communications technologies ;$$vv. 82 001438345 500__ $$aIncludes author index. 001438345 50500 $$gPart I.$$tMathematical Advances in Schemes for Logistics Engineering --$$tDeep Learning for Grasp-and-Lift Movement Forecasting based on Electroencephalography by Brain-computer Interface --$$tInland Waterborne Commerce Study based on Variance Decomposition and Cross-spectral Analysis --$$tRBF-based Input Doubling Method for Small Medical Data Processing --$$tVehicles and Cargos Two-sided Matching based on Similarity Calculation --$$tImproving pedestrian detection methods by architecture and hyperparameter modification of deep neural networks --$$tWarehousing Process Mining Research based on Petri Net --$$tMathematical Methods of Algebraic Biology$$tForecast and Analysis of Domestic Iron Ore Shipping Pricing Based on BP Neural Network --$$tOn Trilateral Evolutionary Game and Simulation Analysis of College-Enterprise-Government Collaborative Digital Talent Cultivation in the Context of Digital Economy --$$tDesign and Development of Mobile Learning Platform Based on WeChat Mini Programs --$$tA New Fog Enabled Sensor Cloud Platform for Smart Logistics Park --$$tThe Location of Company's Logistics Hub Based on Principal Component Analysis --$$gPart II.$$tAdvances in Technological and Educational Approaches --$$tDeep Learning for Melanoma Detection with Testing Time Data Augmentation --$$tResearch and Development of Interactive Virtual Disassembly Teaching System Considering Difficulty Gradient --$$tTeaching Reform and Empirical Research of Logistics Professional English Based on Super Star Learning APP Platform --$$tIntegrated Operation Mode of Warehousing and Distribution in the O2O Environment --$$tA Comparison of Machine Learning Algorithms for Prediction Higher Education Institution's Entrants Admissions. 001438345 506__ $$aAccess limited to authorized users. 001438345 520__ $$aThis book comprises high-quality refereed research papers presented at the 2021 International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 2224 January 2021, organized jointly by Wuhan University of Technology, National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners and undergraduate students interested in artificial intelligence and their applications in logistics engineering. 001438345 650_0 $$aMachine learning$$vCongresses. 001438345 650_0 $$aArtificial intelligence$$vCongresses. 001438345 650_0 $$aLogistics$$xData processing$$vCongresses. 001438345 650_6 $$aIntelligence artificielle$$vCongrès. 001438345 650_6 $$aLogistique$$xInformatique$$vCongrès. 001438345 650_6 $$aApprentissage automatique$$vCongrès. 001438345 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001438345 655_7 $$aConference papers and proceedings.$$2lcgft 001438345 655_7 $$aActes de congrès.$$2rvmgf 001438345 655_0 $$aElectronic books. 001438345 7001_ $$aHu, Zhengbing. 001438345 7001_ $$aZhang, Qingying. 001438345 7001_ $$aPetukhov, S. V.$$q(Sergeĭ Valentinovich) 001438345 7001_ $$aHe, Matthew. 001438345 77608 $$iPrint version:$$aInternational Conference on Artificial Intelligence and Logistics Engineering (2021 : Kyiv, Ukraine).$$tAdvances in artificial systems for logistics engineering.$$dCham : Springer, 2021$$z3030804747$$z9783030804749$$w(OCoLC)1255463825 001438345 830_0 $$aLecture notes on data engineering and communications technologies ;$$vv. 82. 001438345 852__ $$bebk 001438345 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-80475-6$$zOnline Access$$91397441.1 001438345 909CO $$ooai:library.usi.edu:1438345$$pGLOBAL_SET 001438345 980__ $$aBIB 001438345 980__ $$aEBOOK 001438345 982__ $$aEbook 001438345 983__ $$aOnline 001438345 994__ $$a92$$bISE