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SUMMARY:Student Learning Hub: Everything you need to know about digital twins: Building a campus model
DESCRIPTION:Instructor: Talha Azfar\, Ph.D Candidate at UTEP\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Friday\, November 4\, 2022\, 1:00pm – 2:00pm\nDescription: Realistic digital geographical models of real-world locations are a necessary starting point for digital twin applications\, especially for simulation and visualization. This presentation will cover efficient and convenient procedures to create a 3D digital model of the UTEP campus along with the road network on the Unreal Engine project for CARLA\, a driving simulator. This can enable applications like computer vision\, traffic simulation\, and autonomous driving experimentation.  It can serve as a testbed for connected sensors and synchronized databases towards a complete digital twin.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-everything-you-need-to-know-about-digital-twins-building-a-campus-model/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
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SUMMARY:Student Learning Hub: Machine learning and Deep learning approaches in bridge degradation modeling and forecasting
DESCRIPTION:Instructor: Zhanhang Li\, Rutgers University\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Wednesday\, November 11\, 2022\, 1:00pm – 2:00pm\nDescription: This course will provide students with a foundational understanding of machine learning models and degradation processes. With the bridge degradation modeling case study\, students will learn about different types of neural networks\, their strengths\, and context of application. Case studies and live demos will be provided using Artificial Neural Network (ANN) (Multilayer Perceptron [MLP]) and Convolutional neural network (CNN) for bridge rebar degradation modeling.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-machine-learning-and-deep-learning-approaches-in-bridge-degradation-modeling-and-forecasting/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
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