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Start Over Year 2023 Keyword Deep Learning Access Level open_access

1. Automated Construction Progress Monitoring using Image Segmentation and Building Information Models

open_access
Open Access
Author:
Jiang, Zhouqian
Title:
Automated Construction Progress Monitoring using Image Segmentation and Building Information Models
Graduate Program:
Architectural Engineering (PHD)
Keywords:
Construction Progress Monitoring
Building Information Modeling (BIM)
Computer Vision
Image Segmentation
Deep Learning
File:
Download Zhouqian_Jiang_Dissertation_Updated.pdf
Committee Members:
Rob Leicht, Major Field Member
John Messner, Chair & Dissertation Advisor
Julian Wang, Professor in Charge/Director of Graduate Studies
Yuqing Hu, Major Field Member
Yanxi Liu, Outside Unit & Field Member

2. Development And Application Of A ReaxFF Reactive Force Field For Copper And Copper Oxide Interactions With Silicon Via Neural Network Based Parameterization Methods

open_access
Open Access
Author:
Akbari Roshan, Kamyar
Title:
Development And Application Of A ReaxFF Reactive Force Field For Copper And Copper Oxide Interactions With Silicon Via Neural Network Based Parameterization Methods
Graduate Program:
Electrical Engineering (PHD)
Keywords:
ReaxFF
Force Field Developement
INDEEDopt
Optimization
Molecular Dynamics
Deep Learning
Neural Network Inversion
File:
Download Kamyar_Akbari_Roshan_-_Thesis.pdf
Committee Members:
David Miller, Co-Chair & Dissertation Advisor
Abhronil Sengupta, Major Field Member
Saptarshi Das, Outside Unit & Field Member
Seyedehaida Ebrahimi, Major Field Member
Adri van Duin, Co-Chair & Dissertation Advisor
Madhavan Swaminathan, Program Head/Chair

3. deep learning approaches for object tracking and motion estimation of ultrasound imaging sequences

open_access
Open Access
Author:
Alshahrani, Mohammed
Title:
deep learning approaches for object tracking and motion estimation of ultrasound imaging sequences
Graduate Program:
Computer Science and Engineering (MS)
Keywords:
Deep Learning
Object tracking
CFNet
Advanced-CFNet
File:
Download Final_submission.pdf
Committee Members:
John Sampson, Professor in Charge/Director of Graduate Studies
Mohamed Khaled Almekkawy, Thesis Advisor/Co-Advisor
William Evan Higgins, Committee Member

4. Predicting Driver's Takeover Decisions in a Conditionally Automated Vehicle with Gaze Based Deep Learning Architectures

open_access
Open Access
Author:
Gupta, Shantanu
Title:
Predicting Driver's Takeover Decisions in a Conditionally Automated Vehicle with Gaze Based Deep Learning Architectures
Graduate Program:
Industrial Engineering (MS)
Keywords:
Conditionally Automated Vehicles
Machine Learning
Deep Learning
Situational Awareness
Takeover Performance
File:
Download Shantanu_Masters_Thesis.pdf
Committee Members:
Yiqi Zhang, Thesis Advisor/Co-Advisor
Vittaldas V Prabhu, Committee Member
Steven Landry, Program Head/Chair