1. 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
2. Suspended Sediment Concentration prediction using Deep Learning across the Contiguous United States Open Access Author: Chaemchuen, Piyaphat Title: Suspended Sediment Concentration prediction using Deep Learning across the Contiguous United States Graduate Program: Civil Engineering (MS) Keywords: Suspended Sediment Concentration predictionDeep LearningLong Short-Term memory modelThe Contiguous United StatesLarge-scale modeling File: Download PIYAPHAT_CHAEMCHUEN_S_THESIS__FIX_REFERENCES_.pdf Committee Members: Patrick Fox, Program Head/ChairChaopeng Shen, Thesis Advisor/Co-AdvisorXiaofeng Liu, Committee MemberLi Li, Committee Member
