Search for tag: "prediction"

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Safe Underwater Navigation for Coral Reef… duration 3 minutes 0 seconds Safe Underwater Navigation for Coral Reef… Safe Underwater Navigation for Coral Reef Conservation, Madison Bland, GS (C1B8DA91)	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… flow robot model filter safety reefs failure task field environment reef prediction areas diffusion cfd fluid obstacle robots monitoring From Research Princeton Research Day 3 likes 70 plays Date May 3rd, 2024 Speaker Madison Bland, GS (C1B8DA91) Department Electrical and Computer Engineering
Envisioning Automated Glaucoma Screening: Domain… duration 3 minutes 52 seconds Envisioning Automated Glaucoma Screening: Domain… Envisioning Automated Glaucoma Screening: Domain Generalization for Deep Learning-Based Glaucoma Classification, Hannah Ulman, UG '24 (B7A45C16)	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… prd24 model glaucoma image features domain models images learning eye classification datasets sets vision screening classes shift machine healthcare settings prediction From Research Princeton Research Day 1 likes 51 plays Date May 3rd, 2024 Speaker Hannah Ulman, UG '24 (B7A45C16) Department Operations Research and Financial Engineering
Inverse Neural Rendering for Explainable… duration 3 minutes 0 seconds Inverse Neural Rendering for Explainable… Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4)	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… prd24 object properties image graphics cars tracking approach prediction appearance shape pipeline driving model feed features input frames problem approaches computer From Research Princeton Research Day 5 likes 379 plays Date May 3rd, 2024 Speaker Tanushree Banerjee, UG '24 (611179F4) Department Computer Science
FutureFlow: A Deep Learning Approach to… duration 3 minutes 29 seconds FutureFlow: A Deep Learning Approach to… FutureFlow: A Deep Learning Approach to Short-Term Wind Gust Prediction and Control, Dylan Epstein-Gross, UG '25 (BFB85A86)	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… prd24 wind models model controller series prediction learning lab point loss lot frequency drone term motion robot hardware patterns art From Research Princeton Research Day 0 likes 59 plays Date May 3rd, 2024 Speaker Dylan Epstein-Gross, UG '25 (BFB85A86) Department Computer Science
JPP25January2024_RGreif duration 35 minutes 57 seconds JPP25January2024_RGreif JPP25January2024_RGreif	JPP25January2024_RGreif ppplonly network potential model grid density properties prediction dynamics correction simulation scale simulations step resolution size physics flux scheme space models From PPPL Admins 0 likes 15 plays
OURSIP Intern - Thomas Verrill duration 3 minutes 1 second OURSIP Intern - Thomas Verrill OURSIP Intern - Thomas Verrill	OURSIP Intern - Thomas Verrill Benchmarking ML-Based MIMO Decoding Advised by: Prof. Kyle Jamieson, Computer Science Abhishek Singh, Computer Science model signals antennas paper learning machine radio prediction training bike process tower nokia cnn scent lms error receivers receiver transmitter From our Undergraduate Research 0 likes 29 plays Date July 30th, 2023 Speaker Thomas Verrill Department Office of Undergraduate Research
OURSIP Intern - Efe Eroz duration 3 minutes 29 seconds OURSIP Intern - Efe Eroz OURSIP Intern - Efe Eroz	OURSIP Intern - Efe Eroz Exploring Approaches for Modeling the Turbulent Combustion of Fuel Mixtures Advised by: Prof. Michael Mueller, Mechanical and Aerospace Engineering curve toluene prediction behavior fuel linear heptane combustion blend compounds fuels burning acetylene orange pink plot units simulation things concentration From our Undergraduate Research 0 likes 26 plays Date July 30th, 2023 Speaker Efe Eroz Department Office of Undergraduate Research
CITP Lecture: Michael P. Kim - Foundations of… duration 1 hour 4 minutes CITP Lecture: Michael P. Kim - Foundations of… CITP Lecture: Michael P. Kim - Foundations of Responsible Machine Learning	CITP Lecture: Michael P. Kim - Foundations of Responsible Machine Learning Algorithms make predictions about people constantly. The spread of such prediction systems has raised concerns that machine learning algorithms may exhibit problematic behavior, especially… indistinguishability calibration outcome predictor machine model predictions loss question notion algorithm algorithms class fairness prediction groups multi probability learning minimization From CI Center for Information Technology Policy 0 likes 23 plays Date March 20th, 2023 Speaker MIchael P. Kim Department Center forinformation Technology Policy Location Computer Science 105
DataX SCM Workshop 6-2022_Feng duration 35 minutes 49 seconds DataX SCM Workshop 6-2022_Feng DataX SCM Workshop 6-2022_Feng	DataX SCM Workshop 6-2022_Feng error units sample prediction hat treatment adoption problem unit effect practice coverage probability interval features term uncertainty intervals outcome guarantee From Broadcast Broadcast Center Staff 0 likes 7 plays
DataX PPPL Workshop 5-2022_Adebayo duration 54 minutes 42 seconds DataX PPPL Workshop 5-2022_Adebayo DataX PPPL Workshop 5-2022_Adebayo	DataX PPPL Workshop 5-2022_Adebayo model input methods prediction explanation kind question image approaches task point method sort training models kinds network lot interpretability questions From Broadcast Broadcast Center Staff 0 likes 7 plays
DataX Workshop 5-2022_Altosaar duration 50 minutes 21 seconds DataX Workshop 5-2022_Altosaar DataX Workshop 5-2022_Altosaar	DataX Workshop 5-2022_Altosaar microelectronics machine physics problem models model things protein decisions chain rna sequence spike question drugs lot prediction gpus inference phd From Broadcast Broadcast Center Staff 0 likes 9 plays
OURSIP Intern - Kyle Ayisi duration 3 minutes 4 seconds OURSIP Intern - Kyle Ayisi OURSIP Intern - Kyle Ayisi	OURSIP Intern - Kyle Ayisi Event Segmentation and Hidden Markov Models Mentors: Prof. Ken Norman, Neuroscience Jamal Williams, Neuroscience events memory brain movie experiences variables scholars segmentation model markov dataset segmentations prediction matrices correlation python weather boundaries individual event From our Undergraduate Research 0 likes 65 plays Date July 25th, 2022 Speaker Kyle Ayisi Department Office of Undergraduate Research
Silencing Alarms: Discovering How Viruses Evade… duration 2 minutes 50 seconds Silencing Alarms: Discovering How Viruses Evade… Silencing Alarms: Discovering How Viruses Evade Our Cellular Immune Systems, Robert LeDesma, G6 (3964620)	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… cellular alarm system amino acid hepatitis e virus inductively-coupled plasma mass spectrometry argon plasma metal ion binding domain #prd22 protein viruses metal proteins ions ways virus acids plasma prediction function form alarms alarm cells scientists biology lab attention folds From Research Princeton Research Day 9 likes 204 plays Date April 27th, 2022 Speaker Robert LeDesma Department Molecular Biology
How sensory and memory information are encoded in… duration 2 minutes 59 seconds How sensory and memory information are encoded in… How sensory and memory information are encoded in the brain, Kamron Soldozy, UG '22 (3965318)	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… storing memories generating predictions organization of neural encoding re-writing the past memory neurons ball hertz mice brain rectangle timing cortex activity clock question prediction deficits words function mechanisms alzheimer diseases matter From Research Princeton Research Day 1 likes 72 plays Date April 27th, 2022 Speaker Kamron Soldozy Department Neuroscience
Local Damages from Hurricanes: Application of… duration 2 minutes 58 seconds Local Damages from Hurricanes: Application of… Local Damages from Hurricanes: Application of Machine Learning with Satellite Data, Katie Kolodner, UG '24 (3963520)	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… machine learning satellite imagery hurricanes building damage arcgis pro damage result buildings imagery experimentation prediction building hurricane localization target pre max disaster representation polygons models model image network From Research Princeton Research Day 1 likes 57 plays Date April 27th, 2022 Speaker Katie Kolodner Department Operations Research and Financial Engineering
GSS19August2021_Maris duration 27 minutes 29 seconds GSS19August2021_Maris GSS19August2021_Maris	GSS19August2021_Maris pppl disruption machine plasma disruptions model learning task energy prediction fusion lot quench event discharge events questions things mitigation scenario stages From PPPL Admins 0 likes 13 plays