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Using Enhanced Simulation Environments to Improve Reinforcement Learning for Long-Duration Satellite Autonomy
Using Extended Twin Family Designs to Differentiate Multiple Forms of Intergenerational Transmission
Using Family Consultation (FAMCON) to Prevent Type 2 Diabetes: A Pilot Study to Alter Communal Coping
Using fMRI Scans for Predicting Anhedonia, and Identifying Reward Related Brain Regions
Using fMRI to Explain the Effect of Dual-Task Interference on Security Behavior
Using fMRI to Measure Stimulus Generalization of Software Notification to Security Warnings
Using fNIRS brain sensing in realistic HCI settings
Using fNIRS Brain Sensing in Realistic HCI Settings: Experiments and Guidelines
Using fNIRS To Understand Adults' Empathy for Children in AI and Cybersecurity Scenarios
Using Foundation Models as Pseudo-label Generators for Pre-clinical 4D Cardiac CT Segmentation
Using Genomic Structural Equation Modeling to Test the Validity of Latent Factor Models
Using ground penetrating radar to assess the variability of snow water equivalent and melt in a mixed canopy forest, Northern Colorado
USING IN-VITRO EVOLUTION TO FIND NEW RNA CATALYSIS
Using Kolmogorov-Smirnov tests to detect track-loss in the absence of truth data
Using laboratory studies to understand in situ studies of ice nucleation
Using large-scale distributed computing to calculate accurate kinetic and thermodynamic data for macromolecular systems
USING LATENT SEMANTIC INDEXING FOR INFORMATION FILTERING
Using Learning Analytics in Iterative Design of a Digital Modeling Tool
Using Machine Learning and Visualization for Qualitative Inductive Analyses of Big Data
Using Modeled Dynamics for the Control of Autonomous Vehicles
USING MOLECULAR TECHNIQUES TO DETERMINE PROVENANCE OF ILLEGAL RING-TAILED LEMUR (LEMUR CATTA) PETS TO INFORM CONSERVATION ACTIONS
Using Motion Primitives to Design Libration Point Orbit Transfers in the Earth-Moon System
Using Motion Primitives to Design Thrust-Enabled Trajectories in the Earth-Moon System
Using Motion Primitives to Generate Initial Guesses for Trajectories to Sun-Earth L2
Using Multi-Objective Deep Reinforcement Learning to Uncover a Pareto Front in Multi-Body Trajectory Design
Using multicast and multithreading to reduce communication in software DSM systems
Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery
Using multiple input modalities can improve data-efficiency for ML with satellite imagery
Using Multiple Input Modalities Can Improve Data-Efficiency for ML with Satellite Imagery
Using NGSS to Inform and Provide Equitable Instruction, Learning, and Assessments to Diverse Students

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