Intelligent Systems Modeling and Simulation II. Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods

688 Pages·2022·16.779 MB·English

by  Samsul Ariffin Abdul Karim

Studies in Systems, Decision and Control 444
Samsul Ariffin Abdul Karim   Editor
Intelligent
Systems
Modeling and
Simulation II
Machine Learning, Neural Networks,
Efficient Numerical Algorithm and
Statistical Methods
Studies in Systems, Decision and Control
Volume 444
SeriesEditor
JanuszKacprzyk,SystemsResearchInstitute,PolishAcademyofSciences,
Warsaw,Poland
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Samsul Ariffin Abdul Karim
Editor
Intelligent Systems Modeling
and Simulation II
Machine Learning, Neural Networks, Efficient
Numerical Algorithm and Statistical Methods
Editor
SamsulAriffinAbdulKarim
SoftwareEngineeringProgramme
FacultyofComputingandInformatics
UniversitiMalaysiaSabah
KotaKinabalu,Sabah,Malaysia
ISSN 2198-4182 ISSN 2198-4190 (electronic)
StudiesinSystems,DecisionandControl
ISBN 978-3-031-04027-6 ISBN 978-3-031-04028-3 (eBook)
https://doi.org/10.1007/978-3-031-04028-3
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Preface
Aswearedirectlymovingfromthirdindustrialrevolution(IR3.0)tofourthindus-
trial revolution (IR4.0), there are many emergence techniques and algorithms that
appearinmanysciencesandengineeringbranches.Nowadays,mostindustriesare
usingIR4.0intheirproductdevelopmentaswellastorefinetheirproducts.These
includesimulationonoilrigdrilling,bigdataanalyticsonconsumeranalytics,fastest
algorithm for large-scale numerical simulations and many more. These will save
millions of dollars in the operating costs. Without any doubt, mathematics, statis-
ticsandcomputingarewellblendedtoformanintelligentsystemforsimulationand
modeling.Motivatedbythisrapiddevelopment,inthisbook,atotalof42chaptersare
contributedbytherespectiveexperts.Themainscopeofthebookistodevelopanew
system of modeling and simulations based on machine learning, neural networks,
efficientnumericalalgorithmandstatisticalmethods.Thisbookishighlysuitablefor
postgraduatestudents,researchersaswellasscientiststhathasinterestinintelligent
numericalmodelingandsimulations.
Theeditorwouldliketoexpresshisgratitudetoallthecontributingauthorsfor
theirgreateffortsandfulldedicationinpreparingthehigh-qualitymanuscriptsfor
thebookaswellastoallreviewersforreviewingallmanuscriptsandprovidingvery
constructive feedback. Some contributed authors are the committees of the Inter-
nationalSocietyonComputationalIntelligent,ModelingandOptimization(CIMO)
thatwasfoundedbyeditor.Itisourhopethatthesocietywillprovideaplatformfor
eachmembertosharetheirexpertiseaswellastoproducemanyjointresearchand
jointpublicationsinthefuture.SpecialthankyoutoSpringerstafffortheirexcellent
cooperationindealingwiththepublication.
KotaKinabalu,Malaysia SamsulAriffinAbdulKarim
July2022
v
Contents
Introduction ...................................................... 1
SamsulAriffinAbdulKarim
Physics-ConstrainedDeepLearningforIsothermalCSTR ............. 13
LauLeeKiew,SamsulAriffinAbdulKarim,andMuhammadIzzatullah
HeatTransferModellingwithPhysics-InformedNeuralNetwork
(PINN) ........................................................... 25
NajwaZawaniDhamirahMohamad, AkramYousif,
NasihaAthiraBintiShaari, HasreqIskandarMustafa,
SamsulAriffinAbdulKarim,AfzaShafie,andMuhammadIzzatullah
AnOverviewonDeepLearningTechniquesinSolvingPartial
DifferentialEquations ............................................. 37
RabiuBashirYunus, SamsulAriffinAbdulKarim, AfzaShafie,
MuhammadIzzatullah,AhmedKherd,MohammadKhatimHasan,
andJumatSulaiman
SolvingHornSATFuzzyLogicNeuro-symbolicIntegration ............ 49
FarahLiyanaAzizan,SarathaSathasivam,MajidKhanMajaharAli,
andShehabAbdulhabibSaeedAlzaeemi
3SATandFuzzy-HornSATinHopfieldNeuralNetwork ............... 65
FarahLiyanaAzizan,SarathaSathasivam,andMajidKhanMajaharAli
Data-DrivenModelwithSpatio-TemporalRBFNN:Application
toPhotovoltaicModuleSimulation .................................. 81
RedouaneBoudjemaa
Machine Learning Optimization in Computational
Advertising—ASystematicLiteratureReview ........................ 97
VinhTruongandVinhHoang
vii
viii Contents
Data-DrivenMacro-economicModelAnalysisUsingNon-standard
TrimeanAlgorithm ................................................ 113
MohammadKhatimHasan,NoorAshikinOthman,andBahariIdrus
Data-DrivenOrdinaryDifferentialEquationsModelforPredicting
MissingDataandForecastingCrudeOilPrices ...................... 127
MohammadKhatimHasan, JumatSulaiman,
andSamsulAriffinAbdulKarim
Data Interpolation Using Rational Cubic Ball with Three
Parameters ....................................................... 145
NurAtiqahZulkifli, SamsulAriffinAbdulKarim, AfzaShafie,
MuhammadSarfraz, AhmedKherd, MohammadKhatimHasan,
JumatSulaiman,andAbdulGhaffar
Alpha-RootingColorImageEnhancementMethodforDiscrete
FourierTransformandDiscreteQuaternionFourierTransform ....... 179
MawardiBahriandIndahPuspitasari
NewNormDiseaseResilientAir-ConditioningControlModule ........ 195
ChockalingamAravindVaithilingam, NagentrauMuniandy,
DiniOktarinaDwiHandayani,andSamsulAriffinAbdulKarim
Thermal Analysis of VLSI System using Successive Over
Relaxation(SOR)Method .......................................... 207
ElayarajaAruchunan, ZailanSiri, KohilavaniNaganthran,
MuhamadHifzhudinBinNoorAziz, ShahirahAkmaGhazali,
MohanaSundaramMuthuvalu,andJumatSulaiman
Solution of Peak Junction Temperature
withCrank-NicolsonandSORApproach ............................ 225
ElayarajaAruchunan, ZailanSiri,
MuhamadHifzhudinBinNoorAziz,
MuhammadHakimiBinAbWahab,MohanaSundaramMuthuvalu,
andJumatSulaiman
Using Intelligent Systems in Enterprises and Organizations
inRussianRegions ................................................ 235
IuliiaPinkovetskaia
HornSAT Solver Using Agent-Based Modelling in Hopfield
Network .......................................................... 251
SalaudeenAbdulwaheedAdebayo, SarathaSathasiva,
andMajidKhanMajaharAli
NewOperationalMatricesofDejdumrongPolynomialstoSolve
LinearFredholm-Volterra-TypeFunctionalIntegralEquations ........ 265
AhmedKherd,SamsulAriffinAbdulKarim,andSaifulAzmiHusain
Contents ix
ModellingtheCovid-19PandemicforaSmallPopulationSize ......... 279
SaifulAzmiHusain,YusraNorIzzatyTaib,andHasnahHassan
EfficientIterativeApproximationforNonlinearPorousMedium
EquationwithDrainageModel ..................................... 291
JackelVuiLungChew, JumatSulaiman, ElayarajaAruchunan,
andAndangSunarto
A Bi-variate Relaxed Four-Point Approximating Subdivision
Scheme ........................................................... 305
AbdulGhaffar, PakeezaAshraf, FaheemKhan,
andSamsulAriffinAbdulKarim
ApplicationofBernsteinCollocationSolutionsforSolvingSecond
KindVolterra–FredholmIntegralEquations ......................... 341
NurathirahSulaiman,JumatSulaiman,MohammadKhatimHasan,
andSamsulAriffinAbdulKarim
MathematicalModellingforCOVID-19DynamicswithVaccination
Class ............................................................. 355
MariaCzarinaT.Lagura, RodenJasonA.David,
andElviraP. de Lara-Tuprio
NumericalMethodfortheSystemofVolterra-FredholmIntegral
EquationsandItsConvergenceAnalysis ............................. 377
FaheemKhanandMuhammadBasit
ContinuityofSolutionMappingsforParametricQuasi-equilibria ...... 397
TranQuocDuy
Pitt’s Inequality for Offset Quaternion Linear Canonical
Transform ........................................................ 409
MawardiBahriandSamsulAriffinAbdulKarim
TheStudyoftheTrendofDengueCasesinBruneiDarussalam ........ 421
SaifulAzmiHusainandNurNajminaMahadi
InteractingWavePhenomenaDescribedbyCoupledBetaTime
FractionalmKdVEquationinFluid-FilledElasticTube ............... 433
SharminAkter,Md.GolamHafez,andMd.DelowarHossain
Influence of Induced Magnetic Over Stagnation Point
Ag-MgO/H OHybridNanofluidFlowandHeatTransferTowards
2
MovingSurface ................................................... 447
NorAinAzeanyMohdNasir, NoorainiZainuddin,
NajiyahSafwaKhashi’ie,AnuarIshak,andIoanPop
The Performance of Logistic Regression and Discriminant
AnalysisinSpamE-mailClassification .............................. 467
LimYingHaoandNorhashidahAwang