Conference Proceeding RDF
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- Regional Gravity Field Recovery from GRACE Using Position Optimized Radial Base Functions
- Regional Ionospheric TEC Gradients Estimation Using a Single GNSS Receiver
- Regional magnetic domains of the Circum-Arctic: a framework for geodynamic interpretation
- Regional sensing with an open-path dual comb spectroscopy and a UAS (Conference Presentation)
- REGIONAL SIMILARITIES IN THE MECHANICAL PROPERTIES OF THE HUMAN UMBILICAL ARTERY
- Regolith on Super Fast Rotators
- REGRESSION OR CLASSIFICATION? NEW METHODS TO EVALUATE NO-REFERENCE PICTURE AND VIDEO QUALITY MODELS
- Regular Model Checking with Regular Relations
- Regular Real Analysis
- Regular Transformations of Infinite Strings
- Regularized Inversion Method for Frequency-Domain Recovery of the Full Synthetic Aperture Dataset From Focused Transmissions
- Regulating Web Tension in Tape Systems with Time-varying Radii
- Regulation of cardiac growth and development by SRF and its cofactors
- Regulation of in vitro fate specification of gonadotropin-releasing hormone neurons by FGF signaling.
- Regulation of Mitotic Microtubule Dynamic Instability in Monopolar Spindles by Bundling and Kinetochore Attachment
- Regulation of the erythropoietin receptor by SCL/Tal-1.
- Regulatory Mechanisms of Ca2+, Receptor, Ras, and Lipid Signals that Control Actin Polymerization During Cell Migration
- Regulatory Mechanisms of Sec1/Munc18 Proteins in Intracellular Vesicle Fusion
- Regulatory Overlapping RNA Transcripts
- Rehealable, fully recyclable and malleable electronic skin enabled by dynamic covalent thermoset nanocomposite
- Rehearsal Techniques: Utilizing a Chamber Music Approach within the Large Ensemble
- Reimagining Digital Fabrication as Performance Art
- Reimagining How Mathematics is Experienced Using Principles of Realistic Mathematics Education
- Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection
- Reinforcement Learning and Formal Requirements
- REINFORCEMENT LEARNING AND ORBIT-DISCOVERY ENHANCED BY SMALL-BODY PHYSICS-INFORMED NEURAL NETWORK GRAVITY MODELS
- Reinforcement Learning for Assisted Visual-Inertial Robotic Calibration
- Reinforcement Learning for Autonomous Spacecraft Planning and Scheduling,
- Reinforcement Learning for Earth-Observing Satellite Satellite Autonomy with Event-Based Task Intervals
- Reinforcement Learning for Multi-Satellite Agile Earth Observing Scheduling Under Various Communication Assumptions