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Princeton University Masters Theses, 2022-2024
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Princeton University Masters Theses, 2022-2024
Chemical and Biological Engineering
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Computer Science, 2023
Department of Mechanical and Aerospace Engineering, 2022
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Issue Date
Title
Author(s)
2024
Synthetic Data Generation for 6DOF Object Rearrangement
Defay, John A
2024
AudioSetMix: Enhancing Audio-Language Datasets with LLM-Assisted Augmentations
Xu, David
2024
Proof-of-Stake Ethereum Emulation Platform For Analyzing Network Level Consensus Layer Attacks
Parikh, Ronak
2024
Learning Diverse Skills for Safe Reinforcement Learning
Cai, Haoyuan
2024
A Simulation-Based Approach for Studying Light Sheet Fluorescent Microscopy
Zhang, Juncheng
2024
Detecting Climate Change in Binary and Continuous Data
Liu, Grace
2024
REDEFINING THE SHEAR CAPACITY OF STEEL PLATE GIRDERS BASED ON RECENT SHEAR MECHANICS AND AN EXTENSIVE NUMERICAL INVESTIGATION
Ahdab, Muhie Dean
2024
Deep Learning Approach for Analyzing Urban Construction Material Stocks and Evaluating Environmental and Economic Benefits of Alternative Building Material
Okuyama, Akihiro
2024
Diversity-Guided Sampling for Protein Sequence Design via Iterative Refinement
Ferragu, Constance
2024
SUPPRESSING INTERFERENCE IN SPECTROSCOPIC SYSTEMS USING ABSORPTION MASKS
Mehta, Angela
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Ahdab, Muhie Dean
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Ajith, Anirudh
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Bencomo, Gianluca Michele
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Cai, Haoyuan
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Chhabria, Sabhya
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Defay, John A
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Dragomir, Christopher Marius
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Ekpo, Promise Osaine
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Computer science
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Artificial intelligence
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Applied physics
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Computer Vision
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28
2024
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2023
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2022