Conference Proceeding RDF
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- Self-handicapping in collegiate dance teams
- Self-injection locking of a microwave oscillator by use of four-wave mixing in an atomic vapor
- Self-Interference Noise Limitations of RFID Readers
- Self-limited plasmonic nanowelding
- Self-Optimizing Traffic Light Control Using Hybrid Accelerated Extremum Seeking
- Self-organized band state of driven hard needles
- Self-Organized Context-Aware Hybrid MANETs
- Self-organized nonlinear gratings for ultrafast nanophotonics
- Self-powered electrochromic coatings
- Self-propagating high-temperature synthesis of porous nickel-titanium
- Self-referencing a 10 GHz Electro-optic Comb
- Self-referencing a CW laser with efficient nonlinear optics
- SELF-REPORTED DEFICITS IN EMOTION REGULATION PREDICT BRAIN RESPONSE TO STRESS IN ALCOHOL-DEPENDENT ADULTS
- Self-Seeded Mid-Infrared Generation in Periodically-Poled Lithium Niobate Waveguides
- Self-synchronizing Series-connected Inverters
- Self-Training for Unsupervised Parsing with PRPN
- Self-tuning digital comb filter for PFC applications
- SELMA mission: How do airless bodies interact with space environment? The Moon as an accessible laboratory
- Semantic role chunking combining complementary syntactic views
- Semantic role labeling using different syntactic views
- Semantic role parsing: Adding semantic structure to unstructured text
- Semantic roles for nominal predicates: Building a lexical resource
- Semantic-Directed Clumping of Disjunctive Abstract States
- Semantic-Directed Clumping of Disjunctive Abstract States
- Semantically enriched models for modal sense classification
- Semester-long course-based undergraduate research experience (CURE) in snow chemistry in the general chemistry laboratory
- Semi-active optimization of 2D wave's dispersion into mechanical systems by the mean of periodically distributed shunted piezoelectric patches: a new class of adaptive metamaterials
- Semi-analytic formulas of velocity stirring rates in particle disks
- Semi-empirical wind models for lambda Velorum (K4 Ib-II)
- Semi-supervised Learning of a Markovian Metric