Desktop version

Home arrow Computer Science

  • Increase font
  • Decrease font


>>

Cognitive Computing Systems: Applications and Technological Advancements


PrefaceI: Using Assistive Learning to Solve Computationally Intense ProblemsHigh-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative StudyINTRODUCTIONLITERATURE REVIEWSHORTCOMING OF VARIOUS PREDICTION METHODSEXPERIMENTAL SETUP AND RESULTSCONCLUSION AND FUTURE DIRECTIONKEYWORDSREFERENCESCognitive Machine Learning Framework to Evaluate Competency during the Course Endorsement for Computer Science PostgraduatesINTRODUCTIONCOURSE ENDORSEMENT OPTIONSCOGNITIVE NEUROSCIENCECOGNITIVE MACHINE LEARNINGPROBLEM IDENTIFICATIONSETTING BENCHMARKCOML FRAMEWORKEXPERIMENTAL PROCEDURESTRENGTH AND LAPSE OF THE FRAMEWORKCONCLUSIONFUTURE SCOPEKEYWORDSREFERENCESCognitive Decision-Making through an Intelligent Database Agent for Predictive AnalysisINTRODUCTIONLITERATURE REVIEWPROBLEM IDENTIFICATIONCOMPARATIVE STUDY OF THE EXISTING DDS FRAMEWORK AND DATABASE MODELSPROPOSED SOLUTIONSTRENGTH AND LAPS OF FRAMEWORKCONCLUSIONFUTURE SCOPEA Convergence of Mining and Machine Learning: The New Angle for Educational Data MiningINTRODUCTIONLITERATURE SURVEYIDENTIFICATION GAPMOTIVATIONPROBLEM DEFINITIONINTELLIGENT LEARNING ANALYTICS USING DATA MINING TECHNIQUESEDUCATIONAL DATA MINING USING PYTHON LANGUAGECONCLUSION AND FUTURE SCOPEKEYWORDSREFERENCESAPPENDIXApnaDermato: Human Skin Disease Finder Using Machine LearningINTRODUCTIONLITERATURE SURVEYMOBILENET ARCHITECTUREPROBLEM IDENTIFIED IN SKIN DISEASE DETECTIONCOMPARATIVE STUDY WITH EXISTING SYSTEMSPROPOSED SOLUTIONPROS AND CONS OF THE PROPOSED METHODCONCLUSIONFUTURE SCOPEKEYWORDSREFERENCESArtificial Intelligence Technique for Predicting Type 2 DiabetesINTRODUCTIONLITERATURE SURVEYOBJECTIVESSYSTEM ANALYSISMETHODOLOGYRESULTS AND DISCUSSIONCONCLUSION AND SCOPE OF FUTURE WORKKEYWORDSREFERENCESII: Designing IoT-Based Smart Solutions for Monitoring and SurveillanceSmart Interfaces for Development of Comprehensive Health Monitoring SystemsINTRODUCTIONLITERATURE SURVEY ON THE CURRENT STATE-OF-THE-ART MONITORING SYSTEMSDESIGN METRICS AND DESIGN FLOW OF HEALTH MONITORING SYSTEM DESIGNDESIGN FLOWREMOTELY ACCESSIBLE MONITORING STATIONPROTOTYPE DEVELOPMENTLIMITATIONS OF THE PROPOSED APPROACHCONCLUSION AND FUTURE SCOPEACKNOWLEDGMENTKEYWORDSREFERENCESIoT-Based Smart Agriculture in IndiaINTRODUCTIONLITERATURE SURVEYCURRENT PROBLEMS FACED BY FARMERSINCORPORATION OF IOT IN AGRICULTURESMART FARMING SOLUTIONSSOLUTION FOR SUSTAINING SOIL QUALITY IN VARYING WEATHER CONDITIONSLIMITATIONS OF SMART AGRICULTUREFUTURE SCOPECONCLUSIONKEYWORDSIII: Statistical and Mathematical Model-Based SolutionsAnalysis of Epidemiology: Integrating Computational ModelsINTRODUCTIONLITERATURE REVIEWRESEARCH GAP IN THE STUDYPROBLEM IDENTIFICATIONPROPOSED SOLUTIONPROS AND CONS OF SOLUTIONCONCLUSION AND FUTURE SCOPEIV: Applying Neural Networks and Deep Learning Models for Cognitive ProblemsRecent Issues with Machine Vision Applications for Deep Network ArchitecturesINTRODUCTIONREAL-WORLD STRUCTUREVISUAL INTELLIGENCE WITH REAL-WORLD GRAPHSSTANDARD NEURAL NETWORK AND CLASSIFICATION CRITERIONSTANDARD DEEP NETWORKSCONCLUSIONKEYWORDSREFERENCESApplications of Backpropagation and Conjugate Gradient Neural Networks in Structural EngineeringINTRODUCTIONLITERATURE REVIEWPROBLEMS IDENTIFIEDCOMPARATIVE STUDY OF ALREADY PROPOSED SOLUTIONPROS AND CONS OF SOLUTIONCONCLUSIONFUTURE SCOPEKEYWORDSREFERENCESApplication of Neural Networks in Construction ManagementINTRODUCTIONLITERATURE REVIEWPROBLEMS IDENTIFIEDSOLUTION TO EXISTING PROBLEMSPROBLEMS WITH EXISTING SOLUTIONSCONCLUSIONSFUTURE SCOPEKEYWORDSREFERENCESV: Speech and NLP Applications in CognitionSpeech Recognition Fundamentals and FeaturesINTRODUCTIONVARIATIONS OF AUTOMATIC SPEECH RECOGNITION SYSTEMSFUNDAMENTALS OF SRDIFFICULTIES IN SRGENERATION OF SRFEATURE EXTRACTION TECHNIQUESEXPERIMENTS AND RESULTSCONCLUSION AND FUTURE SCOPEKEYWORDSREFERENCESNatural Language ProcessingINTRODUCTION TO COGNITIVE COMPUTINGIMPORTANT MILESTONES OF NLPCONCEPTS OF NLPTHEORETICAL APPROACH TO NLPENGINEERING APPROACH TO NLPNATURAL LANGUAGE GENERATIONNLP APPLICATIONSTEXT CORPUSCURRENT AND FUTURE TRENDSKEYWORDSREFERENCES
 
>>

Related topics