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Electronic Theses & Dissertations
43
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Theses
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Physical Review
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Use of accelerometry and machine learning to measure free-living physical activity and sedentary behavior
Montoye, Alexander Henry
Text (2014)
Part of
Electronic Theses & Dissertations
New paths in Lattice gauge theories
Pederiva, Giovanni
Text (2022)
Part of
Electronic Theses & Dissertations
Measurement of atmospheric muon neutrino disappearance with IceCube using convolutional neural network reconstructions
Micallef, Jessie
Text (2022)
Part of
Electronic Theses & Dissertations
Algorithms for noisy quantum computers and techniques for error mitigation
LaRose, Ryan
Text (2022)
Part of
Electronic Theses & Dissertations
Data-driven multi-scale modeling, analysis and simulation of material failure
Barros de Moraes, Eduardo Augusto
Text (2022)
Part of
Electronic Theses & Dissertations
Computational methods for non-ideal plasmas
Stanek, Lucas J.
Text (2022)
Part of
Electronic Theses & Dissertations
Integration of topological data analysis and machine learning for small molecule property predictions
Wu, Kedi
Text (2018)
Part of
Electronic Theses & Dissertations
Eigenvector continuation : convergence and emulators
Sarkar, Avik, (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
Real-time human/group interaction monitoring platform integrating sensor fusion and machine learning approaches
Davila-Montero, Sylmarie
Text (2022)
Part of
Electronic Theses & Dissertations
Learning with structures
Zhou, Yang
Text (2010)
Part of
Electronic Theses & Dissertations
Signal processing and machine learning approaches to enabling advanced sensing and networking capabilities in everyday infrastructure and electronics
Ali, Kamran (Scientist)
Text (2020)
Part of
Electronic Theses & Dissertations
Algebraic topology and machine learning for biomolecular modeling
Cang, Zixuan
Text (2018)
Part of
Electronic Theses & Dissertations
An automated 3D pose estimation system for sow health monitoring
Yik, Steven
Text (2020)
Part of
Electronic Theses & Dissertations
Robust multi-task learning algorithms for predictive modeling of spatial and temporal data
Liu, Xi (Graduate of Michigan State University)
Text (2019)
Part of
Electronic Theses & Dissertations
Predicting the properties of ligands using molecular dynamics and machine learning
Donyapour, Nazanin
Text (2022)
Part of
Electronic Theses & Dissertations
Learning from noisily connected data
Yang, Tianbao
Text (2012)
Part of
Electronic Theses & Dissertations
Data-driven dynamic nonlocal subgrid-scale modeling for the large eddy simulation of turbulent flows
Seyedi, Seyedhadi
Text (2022)
Part of
Electronic Theses & Dissertations
Topological data analysis and machine learning framework for studying time series and image data
Yesilli, Melih Can
Text (2022)
Part of
Electronic Theses & Dissertations
AI accelerated collisional cross section prediction for high throughput metabolite identification
Tanemura, Kiyoto Aramis
Text (2022)
Part of
Electronic Theses & Dissertations
Data interpretation frameworks employing machine learning for energy-lean data-driven structural health monitoring with novel self-powered sensing technology
Salehi, Hadi
Text (2019)
Part of
Electronic Theses & Dissertations
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