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Electronic Theses & Dissertations
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NOVEL COMPUTATIONAL FRAMEWORKS FOR ANALYZING COMPLEX NON-TREE-LIKE EVOLUTION IN GENOMIC SEQUENCE DATA
WUYUN, QIQIGE
Text (2025)
Part of
Electronic Theses & Dissertations
Evolution of distributed behavior
Knoester, David B.
Text (2011)
Part of
Electronic Theses & Dissertations
TOWARDS THE DESIGN, DEVELOPMENT, AND APPLICATION OF SERIOUS GAMES
McClintock, Declan Andrew
Text (2024)
Part of
Electronic Theses & Dissertations
AN EVOLUTIONARY MULTI-OBJECTIVE APPROACH TO SUSTAINABLE AGRICULTURAL WATER AND NUTRIENT OPTIMIZATION
Kropp, Ian Meyer
Text (2018)
Part of
Electronic Theses & Dissertations
New perspectives in neural architecture search : architecture embeddings, efficient performance estimations, and their applications
Yan, Shen (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
Statistical Learning-Based Adaptive Attacks Towards Audio Watermarking
Ding, Weikang
Text (2025)
Part of
Electronic Theses & Dissertations
Optimization of large scale iterative eigensolvers
Afibuzzaman, Md
Text (2021)
Part of
Electronic Theses & Dissertations
Efficient transfer learning for heterogeneous machine learning domains
Zhu, Zhuangdi
Text (2022)
Part of
Electronic Theses & Dissertations
Toward Secure and Dependable Mobile Networks
Xie, Tian
Text (2023)
Part of
Electronic Theses & Dissertations
Adaptive and automated deep recommender systems
Zhao, Xiangyu
Text (2021)
Part of
Electronic Theses & Dissertations
DATA-DRIVEN COMPUTATIONAL APPROACHES TO UNRAVEL AND INTERPRET THE POLYGENIC ARCHITECTURE OF HUMAN COMPLEX TRAITS AND DISEASES
McKim, Alexander Patrick
Text (2024)
Part of
Electronic Theses & Dissertations
Deep convolutional networks for modeling geo-spatio-temporal relationships and extremes
Wilson, Tyler
Text (2021)
Part of
Electronic Theses & Dissertations
Accelerating Sparse Eigensolvers Through Asynchrony, Hybrid Algorithms, and Heterogeneous Architectures
Alperen, Abdullah
Text (2024)
Part of
Electronic Theses & Dissertations
TOWARD PRIVATE, SECURE, AND ROBUST AI-ENABLED VOICE SERVICES
Guo, Hanqing
Text (2024)
Part of
Electronic Theses & Dissertations
Harnessing the complexity of natural evolution to enhance evolutionary algorithms
Ragusa, Vincent Romeo
Text (2023)
Part of
Electronic Theses & Dissertations
Federated Learning Benchmarks and Frameworks for Artificial Intelligence of Things
Alam, Samiul
Text (2023)
Part of
Electronic Theses & Dissertations
Efficient and portable sparse solvers for heterogeneous high performance computing systems
Rabbi, Md Fazlay
Text (2022)
Part of
Electronic Theses & Dissertations
Sequence learning with side information : modeling and applications
Wang, Zhiwei
Text (2020)
Part of
Electronic Theses & Dissertations
BEYOND FINITE ELEMENT : PHYSICS INFORMED NEURAL NETWORK FOR STRESS PREDICTION
Bolandi, Hamed
Text (2023)
Part of
Electronic Theses & Dissertations
Enhancing the Robustness and Trustworthiness of Machine Learning Models in Diverse Domains
Yu, Shuyang
Text (2025)
Part of
Electronic Theses & Dissertations
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