1. Exploring Effectiveness of HIDS for Machine-Learning Data Defense Open Access Author: Vommi, Himani Title: Exploring Effectiveness of HIDS for Machine-Learning Data Defense Area of Honors: Information Sciences and Technology Keywords: cybersecuritymachine learningSIEMAPTadvanced persistent threatssecurity validationSplunkHIDSintrusion detection systemdetection evasionMITRE File: Download Exploring_Effectiveness_of_HIDS_for_Machine-Learning_Data_Defense_FINAL.pdf Thesis Supervisors: John Andrew Landmesser, Thesis SupervisorAngela Lynn Putman, Thesis Honors Advisor
2. The Impact of Menstrual Cup Distribution on College Student Attitudes about Menstruation: An Exploratory Data Science Approach Open Access Author: Strait, Jessica Title: The Impact of Menstrual Cup Distribution on College Student Attitudes about Menstruation: An Exploratory Data Science Approach Area of Honors: Data Sciences Keywords: data sciencemenstrual healthmenstruationperiod stigmamenstrual hygienemachine learningpredictive analyticsmenstrual cupsstatistics File: Download J._Strait_Thesis_Final_4-13.pdf Thesis Supervisors: Arpan Shailesh Yagnik, Thesis SupervisorJohn Yen, Thesis Honors Advisor
3. Parameterization, simulation and analysis of electrode-level physics-based battery model Open Access Author: Wojnar, Sara Title: Parameterization, simulation and analysis of electrode-level physics-based battery model Area of Honors: Mechanical Engineering Keywords: Li-ionelectrode-levelbattery modelmachine learningaging prediction File: Download Sara_Wojnar_Thesis___final.pdf Thesis Supervisors: Satadru Dey, Thesis SupervisorDaniel Humberto Cortes Correales, Thesis Honors Advisor
4. Robust Image Classification based on Pixel Importance Open Access Author: Chun, Chaewan Title: Robust Image Classification based on Pixel Importance Area of Honors: Computer Science Keywords: adversarial attackimage analysismachine learningCNNheatmap-based blurringrobustness File: Download Schreyer_Honors_Thesis_Chun.pdf Thesis Supervisors: Jia Li, Thesis SupervisorDanfeng Zhang, Thesis Honors Advisor
5. An Analysis and Framework for Multi-Label Image Classification of Insect Taxonomy with Convolutional Neural Networks Restricted (Penn State Only) Author: Pham, Viet Title: An Analysis and Framework for Multi-Label Image Classification of Insect Taxonomy with Convolutional Neural Networks Area of Honors: Computer Engineering Keywords: Multi-label image classificationinsect monitoringconvolutional neural networksmachine learningcomputer visionimage classification File: Login to Download Thesis Supervisors: Vijaykrishnan Narayanan, Thesis SupervisorJohn Morgan Sampson, Thesis Honors Advisor