Conference Proceeding RDF
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- AUTOMATED SOLID-PHASE EXTRACTION OF HERBICIDES FROM WATER FOR GC/MS ANALYSIS
- AUTOMATED SPHERE GEOMETRY OPTIMIZATION FOR THE VOLUME MULTI-SPHERE METHOD
- Automated State and Dynamics Estimation in Dynamically Mismodeled Systems with Information from Optimal Control Policies
- Automated steady-state analysis of switching power converters using a general-purpose simulation tool
- Automated Synthesis of Bending Pneumatic Soft Actuators
- Automated Synthesis of Crossbars for Nanoscale Computing using Formal Methods
- Automated Synthesis of Quantum Circuits using Symbolic Abstractions and Decision Procedures
- Automated Technology for Verification and Analysis
- Automated testing of refactoring engines
- Automated Trait Extraction using ClearEarth, a Natural Language Processing System for Text Mining in Natural Sciences
- Automated upgrading of component-based applications
- Automatic abstraction for verification of cyber-physical systems
- Automatic abstraction for verification of timed circuits and systems
- Automatic Abstraction of Non-Linear Systems Using Change of Bases Transformations
- Automatic alignment of geographic features in contemporary vector data and historical maps
- Automatic Analysis of Open Objects in Dynamic Language Programs
- Automatic Bounding-Box-Labeling Method of Occluded Objects in Virtual Image Data
- AUTOMATIC DAMAGE DETECTION USING PULSE-COUPLED NEURAL NETWORKS FOR THE 2009 ITALIAN EARTHQUAKE
- Automatic deployment of autonomous cars in a Robotic Urban-Like Environment (RULE)
- Automatic detection and characterization of ionospheric scintillation-like GNSS satellite and receiver oscillator anomaly
- Automatic Detection of Galileo Satellite Oscillator Anomaly By Using A Machine Learning Algorithm
- Automatic Detection of Ionospheric Scintillation-like GNSS Oscillator Anomaly Using a Machine Learning Algorithm
- Automatic Detection of Mind Wandering During Reading Using Gaze and Physiology
- Automatic Detection, Tracking, and Characterization of Grains About Active Comets Using Multiple Hypothesis Tracking
- Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
- Automatic Extraction of Core Learning Goals and Generation of Pedagogical Sequences Through a Collection of Digital Library Resources
- Automatic Gaze-Based Detection of Mind Wandering with Metacognitive Awareness
- Automatic generation of fine-grained representations of learner response semantics
- Automatic Generation of Precisely Delineated Geographic Features from Georeferenced Historical Maps Using Deep Learning
- Automatic GPS Phase Scintillation Detector Using a Machine Learning Algorithm