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Using Eventual Consistency to Improve the Performance of Distributed Graph Computation In Key-Value Stores

Using Eventual Consistency to Improve the Performance of Distributed Graph Computation In Key-Value Stores

Nguyen, Duong Ngoc

Text (2021)

Part of Electronic Theses & Dissertations

Face Recognition : Representation, Intrinsic Dimensionality, Capacity, and Demographic Bias

Face Recognition : Representation, Intrinsic Dimensionality, Capacity, and Demographic Bias

Text (2021)

Part of Electronic Theses & Dissertations

Learning to detect language markers

Learning to detect language markers

Tang, Fengyi, 1990-

Text (2021)

Part of Electronic Theses & Dissertations

Combining face and iris for privacy preservation

Combining face and iris for privacy preservation

Ledala, Achsah Junia

Text (2021)

Part of Electronic Theses & Dissertations

Computational frameworks for indel-aware evolutionary analysis using large-scale genomic sequence data

Computational frameworks for indel-aware evolutionary analysis using large-scale genomic sequence data

Wang, Wei (Research scientist)

Text (2021)

Part of Electronic Theses & Dissertations

Synthesis of Laplacian-like operators on cartesian grids with 3D applications for biomolecules

Synthesis of Laplacian-like operators on cartesian grids with 3D applications for biomolecules

Ribando-Gros, Emily

Text (2023)

Part of Electronic Theses & Dissertations

Sparsity in the spectrum : sparse fourier transforms and spectral methods for functions of many dimensions

Sparsity in the spectrum : sparse fourier transforms and spectral methods for functions of many dimensions

Text (2023)

Part of Electronic Theses & Dissertations

Deep Multi-agent Reinforcement Learning for Efficient and Scalable Networked System Control

Deep Multi-agent Reinforcement Learning for Efficient and Scalable Networked System Control

Text (2023)

Part of Electronic Theses & Dissertations

Federated Learning Benchmarks and Frameworks for Artificial Intelligence of Things

Federated Learning Benchmarks and Frameworks for Artificial Intelligence of Things

Text (2023)

Part of Electronic Theses & Dissertations

Depression detection in social media via differential text embedding

Depression detection in social media via differential text embedding

Alfadhli, Norah

Text (2022)

Part of Electronic Theses & Dissertations

Memory-efficient emulation of physical tabular data using quadtree decomposition

Memory-efficient emulation of physical tabular data using quadtree decomposition

Text (2022)

Part of Electronic Theses & Dissertations

Machine learning approaches for processing and decoding attention modulation of sensory representations from eeg

Machine learning approaches for processing and decoding attention modulation of sensory representations from eeg

Saba-Sadiya, Sari

Text (2023)

Part of Electronic Theses & Dissertations

Semi-automated labeling of video using active learning for object detection

Semi-automated labeling of video using active learning for object detection

Muntaner Whitley, Roberto

Text (2023)

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

Applications of persistent cohomology to dimensionality reduction and classification problems

Applications of persistent cohomology to dimensionality reduction and classification problems

Contreras, Luis G. Polanco

Text (2022)

Part of Electronic Theses & Dissertations

Spatial Genetic Programming

Spatial Genetic Programming

Miralavy, Iliya

Text (2024)

Part of Electronic Theses & Dissertations

Toward Secure and Dependable Mobile Networks

Toward Secure and Dependable Mobile Networks

Text (2023)

Part of Electronic Theses & Dissertations

On Methods in Tensor Recovery and Completion

On Methods in Tensor Recovery and Completion

Haselby, Cullen

Text (2023)

Part of Electronic Theses & Dissertations

IMPROVING THE FIDELITY AND USABILITY OF MOLECULAR MODELS THROUGH HYBRIDIZATION AND MACHINE LEARNING TECHNIQUES

IMPROVING THE FIDELITY AND USABILITY OF MOLECULAR MODELS THROUGH HYBRIDIZATION AND MACHINE LEARNING TECHNIQUES

kaymak, mehmet cagri

Text (2023)

Part of Electronic Theses & Dissertations

On efficiency and intelligence of next-generation wireless networks

On efficiency and intelligence of next-generation wireless networks

Kheirkhah Sangdeh, Pedram

Text (2023)

Part of Electronic Theses & Dissertations