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2024
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A DEEP NEURAL NETWORK METHODOLOGY FOR TIMELINE MONITORING OF BRIDGES USING DRONES
gajapaka, sai mohan
Text (2025)
Part of
Electronic Theses & Dissertations
ABUNDANCE, DISTRIBUTION, AND PERSISTENCE OF BIRDS AND MAMMALS UNDER ENVIRONMENTAL CHANGE
Ayebare, Samuel
Text (2025)
Part of
Electronic Theses & Dissertations
RELATING SITUATED AND DISPOSITIONAL MOTIVATIONAL PROCESSES : A DSEM ANALYSIS OF MOTIVATION AMONG COLLEGE-LEVEL STATISTICS STUDENTS
Keane, John N.
Text (2025)
Part of
Electronic Theses & Dissertations
ROBUST STATISTICAL METHODS FOR CAUSAL DISCOVERY IN ONE-SAMPLE MENDELIAN RANDOMIZATION STUDIES
Shi, Ruxin
Text (2025)
Part of
Electronic Theses & Dissertations
Hierarchical models for small area estimation using zero-inflated forest inventory variables : comparison and implementation
White, Grayson W.
Text (2025)
Part of
Electronic Theses & Dissertations
Algebraic Combinatorics on Partially Ordered Sets and Graphs
Kimble, Jamie
Text (2025)
Part of
Electronic Theses & Dissertations
INTEGRATIVE LEARNING OF CELLULAR SYSTEMS AND NETWORKS
Venegas, Julian D.
Text (2024)
Part of
Electronic Theses & Dissertations
Advanced Statistical and Computational Techniques for Genomic Data Analysis
Das Adhikari, Sikta
Text (2024)
Part of
Electronic Theses & Dissertations
OPTIMAL SAMPLING STRATEGIES USING CASE-CONTROL STUDIES FOR BINARY SECONDARY OUTCOMES UNDER BUDGET CONSTRAINTS
Wang, Liang
Text (2024)
Part of
Electronic Theses & Dissertations
A LATENT STATE-TRAIT MODEL FOR MULTILEVEL MEDIATION ANALYSIS WITH MULTIPLE TIMEPOINTS
Bradford, Lydia
Text (2024)
Part of
Electronic Theses & Dissertations
LEARNING THE INTRINSIC DIMENSION OF COMPLEX LARGE DATASETS
Weaver, Joseph M.
Text (2024)
Part of
Electronic Theses & Dissertations
Topological Data Analysis Driven Feature Generation in Machine Learning Models
Barnes, Danielle
Text (2024)
Part of
Electronic Theses & Dissertations
PARAMETER ESTIMATION FOR GAUSSIAN RANDOM FIELDS AND MULTIVARIATE GAUSSIAN RANDOM PROCESSES UNDER FIXED-DOMAIN ASYMPTOTICS
Feng, Haoxiang
Text (2024)
Part of
Electronic Theses & Dissertations
NORMALIZING FLOWS AIDED VARIATIONAL INFERENCE FOR UNCERTAINTY QUANTIFICATION
Premchandar, Sumegha
Text (2024)
Part of
Electronic Theses & Dissertations
Parameter estimation for univariate and bivariate Gaussian processes and fields
Liu, Nian
Text (2024)
Part of
Electronic Theses & Dissertations
Comprehensive Approaches to High-Dimensional Heterogeneous Data : Semiparametric Methods and Feature Selection
Lee, Sang Kyu
Text (2024)
Part of
Electronic Theses & Dissertations
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