00947cam0 22002651 450 SOBE0001742820170519093505.00710806523038920458720110908d1984 |||||ita|0103 baengGBShakespearian dimensionsG. Wilson KnightBrightonThe Harvester pressTotowaBarnes & Noble books1984XXII, 232 p.23 cmKnight, Wilson G.A600200029940070377158ITUNISOB20170519RICAUNISOBUNISOBFondo|Corrado152249SOBE00017428M 102 Monografia moderna SBNMFondo|Corrado000318SI152249CorradodonoNmenleUNISOBUNISOB20110908110611.020170519093505.0catenacciModalità di consultazione vedi home page Biblioteca link FondiShakespearian dimensions1721365UNISOB05326nam 2201393z- 450 991074327180332120230911(CKB)5690000000228590(oapen)doab113932(EXLCZ)99569000000022859020230920c2023uuuu -u- -engurmn|---annantxtrdacontentcrdamediacrrdacarrierComputational and Mathematical Methods in Information Science and EngineeringMDPI - Multidisciplinary Digital Publishing Institute20231 online resource (402 p.)3-0365-8471-4 Nowadays, computational and mathematical methods provide effective tools for handling vast quantities of data and information in the fields of big data analytics, knowledge discovery and decision-making for solving complex problems in the world. The present reprint contains all of the articles accepted and published in the first edition of the Special Issue titled "Computational and Mathematical Methods in Information Science and Engineering". The objective of this Special Issue is to provide a channel through which members of the scientific community can exchange insights regarding recent advances in the theory and application of computational and mathematical methods in information science and engineering, with the long-term goal being to solve data-handling problems in practice. We hope that the papers published in this Special Issue will be considered impactful by the international scientific community and motivate further research into computational and mathematical methods that can solve complex problems in various fields and applications.Mathematics & sciencebicsscResearch & information: generalbicsscadaptiveARIMAARLbuffer wardscareer choicecenter-of-gravity methodcircular economyclassical retrial policyclustering algorithmcollege studentscomplex supply chain networkconditional autoregressive modelcontrol chartsconvolutional neural network modelCOVID-19 dataCOVID-19 pandemicdata streamdeep learning modeldemand patterndeviance residualsdisplacement of volume methoddynamic bed allocationdynamic weightingegg shape equationegg volumeembedded modelempirical mode decompositionenvironmental awarenessenvironmental policiesfeedback mechanismGANglobal fusiongreen supply chaingrey correlation analysishybrid multi-attributehybrid mutationimbalanced classificationin-houseinfinite orbitinformation acquisitionInternet of Thingsinterval-valued intuitionistic fuzzy numbersknowledge interaction neural networklightweight image reconstruction networklink functionslocal interactionlogistic profilingmachine learningmalicious network trafficMarkov chain Monte Carlometal minesmining planmixed-integer programmingmodel selectionmulti-facility location problemmulti-objective optimizationmulti-scalemultiscale analysisn/anoise-resilientnon-convex loss functionnon-cooperative equilibriumoblivious quantum key distributionoccurrence rateonline-learningopinions polarizationoutsourcingpartial discharge (PD)patient admission controlPearson residualsphase-resolved PD (PRPD)predictionprivate set intersectionproductivity predictionquantum authenticationqueue dependent service rateregressionreservoir characterizationretailrotating machinesales forecastingseasonal ARIMAspatial Poisson modelstator coilstructural balancethree-way group decision makingtourist arrival forecastvariational mode decompositionVIKOR modelwaiting time analysisMathematics & scienceResearch & information: generalBOOK9910743271803321Computational and Mathematical Methods in Information Science and Engineering3560516UNINA