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Predicting the properties of ligands using molecular dynamics and machine learning

Predicting the properties of ligands using molecular dynamics and machine learning

Donyapour, Nazanin

Text (2022)

Part of Electronic Theses & Dissertations

Measurement of atmospheric muon neutrino disappearance with IceCube using convolutional neural network reconstructions

Measurement of atmospheric muon neutrino disappearance with IceCube using convolutional neural network reconstructions

Micallef, Jessie

Text (2022)

Part of Electronic Theses & Dissertations

Machine learning on drug discovery : algorithms and applications

Machine learning on drug discovery : algorithms and applications

Sun, Mengying (Graduate of Michigan State University)

Text (2022)

Part of Electronic Theses & Dissertations

Computational methods for non-ideal plasmas

Computational methods for non-ideal plasmas

Stanek, Lucas J.

Text (2022)

Part of Electronic Theses & Dissertations

Development and assessment of predictive models for improved swine farming

Development and assessment of predictive models for improved swine farming

Han, Junjie, 1993-

Text (2022)

Part of Electronic Theses & Dissertations

Using semantic structure of the data and knowledge in question answering systems

Using semantic structure of the data and knowledge in question answering systems

Zheng, Chen (Research scientist)

Text (2022)

Part of Electronic Theses & Dissertations

Computational annotations of cell type specific transcription factors binding and long-range enhancer-gene interactions

Computational annotations of cell type specific transcription factors binding and long-range enhancer-gene interactions

Qi, Wenjie (Graduate of Michigan State University)

Text (2022)

Part of Electronic Theses & Dissertations

Topological data analysis and machine learning framework for studying time series and image data

Topological data analysis and machine learning framework for studying time series and image data

Yesilli, Melih Can

Text (2022)

Part of Electronic Theses & Dissertations

Data-driven dynamic nonlocal subgrid-scale modeling for the large eddy simulation of turbulent flows

Data-driven dynamic nonlocal subgrid-scale modeling for the large eddy simulation of turbulent flows

Seyedi, Seyedhadi

Text (2022)

Part of Electronic Theses & Dissertations

Online innovization : towards knowledge discovery and achieving faster convergence in multi-objective optimization

Online innovization : towards knowledge discovery and achieving faster convergence in multi-objective optimization

Text (2020)

Part of Electronic Theses & Dissertations

Collaborative learning : theory, algorithms, and applications

Collaborative learning : theory, algorithms, and applications

Text (2020)

Part of Electronic Theses & Dissertations

Signal processing and machine learning approaches to enabling advanced sensing and networking capabilities in everyday infrastructure and electronics

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

A systematic evaluation of computational models of phonotactics

A systematic evaluation of computational models of phonotactics

Text (2020)

Part of Electronic Theses & Dissertations

Real-time human/group interaction monitoring platform integrating sensor fusion and machine learning approaches

Real-time human/group interaction monitoring platform integrating sensor fusion and machine learning approaches

Davila-Montero, Sylmarie

Text (2022)

Part of Electronic Theses & Dissertations

Adaptive and automated deep recommender systems

Adaptive and automated deep recommender systems

Text (2021)

Part of Electronic Theses & Dissertations

Harnessing machine learning techniques for large-scale mapping of inland aquaculture waterbodies in Bangladesh

Harnessing machine learning techniques for large-scale mapping of inland aquaculture waterbodies in Bangladesh

Ferriby, Hannah

Text (2021)

Part of Electronic Theses & Dissertations

New paths in Lattice gauge theories

New paths in Lattice gauge theories

Pederiva, Giovanni

Text (2022)

Part of Electronic Theses & Dissertations

AI accelerated collisional cross section prediction for high throughput metabolite identification

AI accelerated collisional cross section prediction for high throughput metabolite identification

Tanemura, Kiyoto Aramis

Text (2022)

Part of Electronic Theses & Dissertations

Efficient transfer learning for heterogeneous machine learning domains

Efficient transfer learning for heterogeneous machine learning domains

Text (2022)

Part of Electronic Theses & Dissertations

Efficient and secure message passing for machine learning

Efficient and secure message passing for machine learning

Text (2022)

Part of Electronic Theses & Dissertations