Computational Modeling and Data Analysis in COVID-19 Research


Machine Learning Implementations in COVID-19IntroductionA Brief History of CoronavirusesCurrent Scenario of COVID-19Symptoms, Diagnosis, and Preventions Steps for COVID-19Machine Learning in COVID-19 OutbreakApplication of ML in the War on COVID-19Machine Learning in COVID-19 Future ForecastingMachine Learning as a Diagnostic Tool for COVID-19COVID Patient’s Health Prediction Using Machine LearningMachine Learning in Survival Analysis and Discharge Time Prediction of COVID-19 PatientsMachine Learning in Contact Tracing of COVID-19ConclusionReferencesAnalysis of COVID-19 Data Using Consensus Clustering TechniqueIntroductionLiterature StudyMethodology UsedClusteringConsensus ClusteringProblem FormulationPairwise-Similarity-Based Consensus Clustering MethodProposed MethodExperimental Setup and Result AnalysisConclusionReferencesMoBMGAN: Modified GAN-Based Transfer Learning for Automatic Detection of COVID-19 Cases Using Chest X-ray ImagesINTRODUCTIONLiterature SurveyProposed MethodData Collection and PreprocessingGeneration of Expanded Dataset via MGANFine-tuning Transfer Learning Models for ClassificationResult and AnalysisAccuracy vs Computational ComplexityConclusionReferencesApplication and Progress of Drone Technology in the COVID-19 Pandemic: A Comprehensive ReviewIntroductionResearch NeedsA Historical Overview of Drone and UAV TechnologiesDifferent Applications of DronesAgricultureHealth SectorMass Media and JournalismCivil SurveillanceOther ApplicationsOpportunity and ChallengesConclusion and OutlookReferencesSmart War on COVID-19 and Global Pandemics: Integrated AI and Blockchain EcosystemIntroduction: COVID-19 in the Era of Modern TechnologyTracking and Forecasting the COVID-19 Outbreak in Real Time: Role of AIData Authentication: A Case for Blockchain Integration for Diverse AI SystemsRole of AI in Diagnosis, Detection, and Identification of COVID-19 PatientsAccelerating Drug Discovery for COVID-19: The Big Role of AISecuring Different Supply Chains at Time of CrisisMedical Supply ChainFood Supply ChainRelocation of Medical, Law Enforcement, and Other Critical Service ProfessionalsImpact of COVID-19 on World Economy and Role of AI and BlockchainOther Smart InterventionsFacial Recognition and Fever Detector AIAI-Enabled Drones and RobotsVirtual Healthcare Assistants (Chatbots)Managing Finance/Donation (Blockchain)Outlook/PerspectiveTrust: The Missing Piece in Today’s Societal and Technological ArchitectureIntegrated AI and Blockchain Ecosystem: Smart Defense against Global PandemicsFuture Research DirectionsThe Big Canvas of Integration of Emerging Technological ParadigmsDevelopment of Integrated FrameworksConclusionReferencesMachine Learning-Based Text Mining in Social Media for COVID-19IntroductionActivities Involved in COVID-19 Text Mining ProcessValue of Text Mining and MotivationApplications of Text MiningDesign Issues in Text MiningGeneral Outline of Text Pre-Processing in COVID-19Main Challenges Related to Social Media Text of COVID-19Text Pre-ProcessingScope and Recent Pre-Processing Approaches in COVID-19Various Text Pre-Processing Approaches for COVID-19Extraction Mechanism and Analysis of Social Text of COVID-19Scope of Various Machine Learning Approaches in Text Mining in Social Media for COVID-19Recent Approaches for COVID-19 and Their ScopePrediction and Analysis of the Impact of COVID-19 on Different ParametersConclusionReferencesContaining the Spread of COVID-19 with IoT: A Visual Tracing ApproachIntroductionMotivationOverview of Techniques for Combating COVID-19COVID-19 and IoTComputer VisionHuman Activity RecognitionFog/Edge ComputingSynthesisSystem ModelIoT-Based Network Architecture for COVI-SCANNERInformation Flow in COVI-SCANNERProposed SolutionThe Contamination ModuleThe Sanitization ModulePerformance EvaluationExperimental SetupResultsOutput from Contamination PhaseOutput from Sanitization PhaseDetection and Removal of Fomite SpacesAccuracy of the COVI-SCANNER PhasesDelays in Executing COVI-SCANNER and Its PhasesUpload and Download RatesConclusionReferencesCrowd-Sourced Centralized Thermal Imaging for Isolation and QuarantineIntroductionInnovative Solutions for Fighting against COVID-19Challenges and Their SolutionsObjectiveThermal ImagingInfrared Thermal ScannerThermal CameraMedical Uses of Thermal ImagingOther Uses of Thermal ImagingMethodologyAlgorithmData Updating and TimestampingData SynchronizationConclusionFuture ScopeReferencesBlockchain Technology for Limiting the Impact of Pandemic: Challenges and ProspectsIntroduction: Background and Driving ForcesProblem StatementLiterature ReviewResearch MethodologyIdentification of Research AreaReview Study Scope and Research ConductExtraction of Relevant DataPractical Applications of Blockchain Technology in Combating COVID-19Prediction and Spread PreventionTreatmentDirection and Prospects of BlockchainBlockchain Technology for Revival of Sectors Post COVID-19EducationBusiness, Supply Chain, and LogisticsAgricultureBankingManufacturingSecurityChallenges of Implementing Blockchain TechnologyFactors Encouraging Adoption of Blockchain TechnologyDiscussionConclusion and Future ScopeReferencesA Study on Mathematical and Computational Models in the Context of COVID-19IntroductionClassification of Mathematical ModelsFeatures of Mathematical ModelsStudy of Mathematical Models for COVID-19SIR ModelExtensions of the SIR ModelSIR Model with Parameters such as Birth and DeathSIR Model with Vaccine ImpactSIR Model with Impact of Vaccine and Re-Infection RateSEIR ModelSUQC ModelModified SEIR Model for COVID-19SEIAR (Susc​eptib​le–Ex​posed​–Infe​cted–​Asymp​tomat​ic–Re​cover​ed) ModelSEIAR with HospitalizationMathematical Model with Rate of Spreading Proportional to Square Root of TimeA Mathematical Model Incorporating Multiple Transmission Pathways Including Environment to HumansChallenges of Modeling and Forecasting the Spread of COVID-19Accurate Assessment of Viral TransmissionModels Not Addressing the Exit StrategySeroprevalence Survey for Transmission Dynamics and Herd ImmunityHeterogeneities in TransmissionConclusionsReferencesA Detailed Study on AI-Based Diagnosis of Novel Coronavirus from Radiograph ImagesIntroductionCOVID-19 Etiology, Clinical Imaging Features, and PrognosisChest ImagingCOVID-19 Classification MethodologyExperimental OutcomesDatabasePerformance MetricResults: Two-Class (COVID-19 vs. Normal) ProblemResults: Multi-Class (COVID-19 vs. Normal vs. Viral Pneumonia) ProblemResults: Multi-Class Classification for Pre-Trained NetworkConclusion and Future DirectivesAcknowledgmentReferencesData Analytics for COVID-19IntroductionLiterature StudyExploratory Data AnalysisCompartmental Models for EpidemiologyDeep Learning for COVID-19 DiagnosisSurvival Analysis for COVID-19COVID-19 Forecasting ModelsConclusionReferences
 
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