Search for tag: "prediction"
Rematch+ – Angel LiApplication of Physics-Informed Neural Networks (PINNs) on Chaotic Climate Systems Advised by: Curtis A. Deutsch; The Deutsch Research Group Gian Giacomo Navarra; The Deutsch Research Group
From our Undergraduate Research
0 likes
17 plays
|
|
Safe Underwater Navigation for Coral Reef Conservation, Madison Bland, GS (C1B8DA91)Coral reefs are one of the most biologically diverse and economically valuable ecosystems on the planet. They provide a critical habitat for marine life and serve as a foundation for many…
From Research Princeton Research Day
3 likes
76 plays
|
|
Envisioning Automated Glaucoma Screening: Domain Generalization for Deep Learning-Based Glaucoma Classification, Hannah Ulman, UG '24 (B7A45C16)Rapid advancements in deep learning algorithms for computer vision tasks have produced powerful models that can accurately classify diseases from medical images across a variety of specialties. In…
From Research Princeton Research Day
1 likes
55 plays
|
|
Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4)Today, most methods for image understanding tasks rely on feed-forward neural networks. While this approach has allowed for empirical accuracy, efficiency, and task adaptation via fine-tuning, it…
From Research Princeton Research Day
5 likes
386 plays
|
|
FutureFlow: A Deep Learning Approach to Short-Term Wind Gust Prediction and Control, Dylan Epstein-Gross, UG '25 (BFB85A86)My project explores the application of various deep learning methods to the problem of short-term wind gust prediction central to wind-aware control on real-world quadrotors, a ubiquitous issue for…
From Research Princeton Research Day
0 likes
64 plays
|
|
OURSIP Intern - Thomas VerrillBenchmarking ML-Based MIMO Decoding Advised by: Prof. Kyle Jamieson, Computer Science Abhishek Singh, Computer Science
From our Undergraduate Research
0 likes
33 plays
|
|
OURSIP Intern - Efe ErozExploring Approaches for Modeling the Turbulent Combustion of Fuel Mixtures Advised by: Prof. Michael Mueller, Mechanical and Aerospace Engineering
From our Undergraduate Research
0 likes
27 plays
|
|
CITP Lecture: Michael P. Kim - Foundations of Responsible Machine LearningAlgorithms make predictions about people constantly. The spread of such prediction systems has raised concerns that machine learning algorithms may exhibit problematic behavior, especially…
From CI Center for Information Technology Policy
0 likes
24 plays
|
|
OURSIP Intern - Kyle AyisiEvent Segmentation and Hidden Markov Models Mentors: Prof. Ken Norman, Neuroscience Jamal Williams, Neuroscience
From our Undergraduate Research
0 likes
66 plays
|
|
Silencing Alarms: Discovering How Viruses Evade Our Cellular Immune Systems, Robert LeDesma, G6 (3964620)The cells in our body inherently possess an alarm system that can detect when an invader, such as a virus, infects the cell. Unfortunately, viruses are constantly evolving ways in which they can…
From Research Princeton Research Day
9 likes
204 plays
|
|
How sensory and memory information are encoded in the brain, Kamron Soldozy, UG '22 (3965318)Imagine trying to catch a ball. Combining the position of the ball now with where it was a moment ago allows you to make a prediction of where the ball will be, a crucial piece of information for a…
From Research Princeton Research Day
1 likes
76 plays
|
|
Local Damages from Hurricanes: Application of Machine Learning with Satellite Data, Katie Kolodner, UG '24 (3963520)Though hurricanes are some of the most destructive natural disasters, with the frequency of intense and damaging hurricanes increasing due to climate change, current estimates of damages from…
From Research Princeton Research Day
1 likes
58 plays
|