1. BATTERY STATE ESTIMATION AND ANOMALY DETECTION USING MACHINE LEARNING Open Access Author: Garg, Mayank Title: BATTERY STATE ESTIMATION AND ANOMALY DETECTION USING MACHINE LEARNING Graduate Program: Computer Science and Engineering Keywords: Battery SOC estimationBattery anomaly detectionMachine learningSupervised LearningUnsupervised Learning File: Download Mayank_Garg_MS_Thesis_CSE.pdf Committee Members: Daniel Kifer, Thesis Advisor/Co-AdvisorVasant Gajanan Honavar, Thesis Advisor/Co-Advisor
2. Unsupervised Deep Learning Approach For Photoacoustic Spectral Unmixing. Open Access Author: Durairaj, Deepit Abhishek Title: Unsupervised Deep Learning Approach For Photoacoustic Spectral Unmixing. Graduate Program: Electrical Engineering Keywords: Spectral UnmixingMachine LearningAutoencodersUnsupervised LearningPhotoacoustic Imaging File: Download Deepit_Durairaj_Thesis.pdf Committee Members: Sri-Rajasekhar Kothapalli, Thesis Advisor/Co-AdvisorDavid Jonathan Miller, Thesis Advisor/Co-AdvisorWilliam Evan Higgins, Committee MemberSri-Rajasekhar Kothapalli, Program Head/Chair
3. Sepsis Data Analytics Open Access Author: Shen, Sida Title: Sepsis Data Analytics Graduate Program: Industrial Engineering Keywords: Machine learningDeep learningSepsisHealthcareUnsupervised LearningData Mining File: Download Thesis_Sida_Shen_Final.pdf Committee Members: Soundar Kumara, Thesis Advisor/Co-AdvisorRobert Carl Voigt, Program Head/ChairKamesh Madduri, Committee Member
