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1
Tolerating Slowdowns in Replicated State Machines
Tolerating Slowdowns in Replicated State Machines
Ngo, Quang Minh Khiem. | Princeton University | 2021
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2
Computationally-Efficient Thermal Modeling Techniques for Electric Machines
Computationally-Efficient Thermal Modeling Techniques for Electric Machines
Wang, Yuanying. | University of Michigan | 2021
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3
The Rise and Promise of Artificial Molecular Machines
The Rise and Promise of Artificial Molecular Machines
Feng, Yuanning. | Northwestern University | 2021
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4
Stronger Abstractions and Performance Guarantees for Building Strongly Consistent Distributed Services- [electronic resource]
Stronger Abstractions and Performance Guarantees for Building Strongly Consistent Distributed Services- [electronic resource]
Hodsdon, Christopher Charles.Computer Science. | Princeton University. | 2023
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5
Stronger Abstractions and Performance Guarantees for Building Strongly Consistent Distributed Services- [electronic resource]
Stronger Abstractions and Performance Guarantees for Building Strongly Consistent Distributed Services- [electronic resource]
Hodsdon, Christopher Charles.Computer Science. | Princeton University. | 2023
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6
Stronger Abstractions and Performance Guarantees for Building Strongly Consistent Distributed Services- [electronic resource]
Stronger Abstractions and Performance Guarantees for Building Strongly Consistent Distributed Services- [electronic resource]
Hodsdon, Christopher Charles.Computer Science. | Princeton University. | 2023
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7
Essays in Mathematical Finance and Machine Learning
Essays in Mathematical Finance and Machine Learning
Zhang, Zhang. | University of Maryland, College Park | 2021
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8
GIS-Based, Data-Driven Techniques for Spatial Analysis of Infectious Diseases at the Regional, State, and National Levels
GIS-Based, Data-Driven Techniques for Spatial Analysis of Infectious Diseases at the Regional, State, and National Levels
Mollalo, Abolfazl. | University of Florida | 2019
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9
Machine Learning Methods for Prediction of Cardiovascular Diseases
Machine Learning Methods for Prediction of Cardiovascular Diseases
Torres, Jessica. | Stanford University | 2021
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10
Variational Bayes Deep Neural Network: Theory, Methods and Applications
Variational Bayes Deep Neural Network: Theory, Methods and Applications
Liu, Zihuan. | Michigan State University | 2021
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