1. ARTIFICIAL NEURAL NETWORK BASED DESIGN PROTOCOL FOR WAG IMPLEMENTATION IN CO2 INJECTION USING FISHBONE WELLS IN LOW PERMEABILITY Oil RESERVOIRS Open Access Author: Enab, Khaled Ahmed Title: ARTIFICIAL NEURAL NETWORK BASED DESIGN PROTOCOL FOR WAG IMPLEMENTATION IN CO2 INJECTION USING FISHBONE WELLS IN LOW PERMEABILITY Oil RESERVOIRS Graduate Program: Energy and Mineral Engineering Keywords: Enhanced Oil RecoveryWAGCO2 InjectionUnconventional Oil ReservoirsTight Oil ReservoirsArtificial Neural NetworkMachine Learning File: Download Khaled_Enab_Dissertation.pdf Committee Members: Turgay Ertekin, Dissertation Advisor/Co-AdvisorTurgay Ertekin, Committee Chair/Co-ChairSanjay Srinivasan, Committee MemberGregory R King, Committee MemberSridhar Anandakrishnan, Outside Member
2. DEVELOPMENT AND APPLICATION OF AN ARTIFICIAL-NEURAL-NETWORK-BASED ANALYSIS AND DESIGN TOOL FOR CHEMICAL ENHANCED OIL RECOVERY (ALKALINE-SURFACTANT-POLYMER) FIELD IMPLEMENTATIONS Open Access Author: Abdullah, Mohammad B Title: DEVELOPMENT AND APPLICATION OF AN ARTIFICIAL-NEURAL-NETWORK-BASED ANALYSIS AND DESIGN TOOL FOR CHEMICAL ENHANCED OIL RECOVERY (ALKALINE-SURFACTANT-POLYMER) FIELD IMPLEMENTATIONS Graduate Program: Energy and Mineral Engineering Keywords: ANNEORcEOREnhanced Oil RecoveryMachine LearningArtificial Neural NetworkField Implementation File: Download Mohammad_Abdullah_final.pdf Committee Members: Hamid Emami-Meybodi, Thesis Advisor/Co-AdvisorTurgay Ertekin, Thesis Advisor/Co-AdvisorGregory R King, Committee Member
3. Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army Open Access Author: Garcia, Miguel Title: Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army Graduate Program: Data Analytics (MS) Keywords: Artificial IntelligenceMachine LearningAIDeep LearningDecision TreeLogistic RegressionRandom ForestXGBoostArtificial Neural NetworkDeep Neural NetworkU.S. ArmyMilitaryAttritionRetentionPerson-Event Data EnvironmentPDEDepartment of DefenseDoDArmy Analytics GroupAAGNaive BayesActive DutyEnlistmentCommissioned OfficersSoldiersArea Under the CurveAUCData AnalyticsRetirementMEDPROSPHAMEPCOMDTMSATMSROC CurveVariable ImportancePreprocessingData Quality File: Download Insights_on_the_use_of_AI_to_Predict_Retention_of_Career_Soldiers_in_the_US_Army.pdf Committee Members: Colin Neill, Program Head/ChairPartha Mukherjee, Thesis Advisor/Co-AdvisorGuanghua Qiu, Committee MemberYouakim Badr, Thesis Advisor/Co-Advisor
