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Description:: Machine learning is seeping into every fabric in various practical domains such as autonomous driving, wearable computing, and smart buildings. However, in the actual development and integration, especially when the learning-based components are frequently included as components of large complex systems where the physical instances can be included as interactable...
Keyword:: Transfer Learning, Reinforcement Learning, Computer Vision, Building HVAC Control, Image Classification, and Machine Learning
Subject:: Computer engineering and Computer science
Creator:: Xu, Shichao
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 05/31/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_983783 and http://dissertations.umi.com/northwestern:16519

Description:: Manufacturing processes are known for their intricacies in changing material shapes and properties. New generations of manufacturing technologies, known as flexible manufacturing, are moving toward design freedom, which allows producing parts with optimized geometries and high customizations at an affordable cost even for low-volume productions. Two prominent flexible manufacturing processes...
Keyword:: Neural Network, Reinforcement Learning, Manufacturing, Additive Manufacturing, and Artificial Intelligence
Subject:: Computational physics, Mechanical engineering, and Computer science
Creator:: Mozaffar, Mojtaba
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 10/07/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15685 and etdadmin_upload_839531

Description:: The ever growing desire for accurate estimation and efficient learning necessitates the efforts to quantitatively characterize uncertainties for models. In this thesis, four problems pertaining to uncertainty quantification are discussed: A sequential stopping framework of constructing fixed-precision confidence regions is proposed for a class of multivariate simulation problems where variance...
Keyword:: Ranking and Selection, Reinforcement Learning, Statistical Learning, Stochastic Gradient Descent, and Uncertainty Quantification
Subject:: Applied mathematics, Statistics, and Computer science
Creator:: Zhu, Yi
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 01/21/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15080 and etdadmin_upload_741745

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