Vitola Oyaga, Jaime  |  Investigador

documento

• A Damage Classification Approach for Structural Health Monitoring Using Machine Learning
• A machine learning methodology for structural damage classification in structural health monitoring
• A sensor data fusion system based on k-nearest neighbor pattern classification for structural health monitoring applications
• Cartesian genetic algorithm for boolean synthesis with power consumption restriction
• Damage Localization Methodology using Pattern Recognition and Machine Learning Approaches
• Damage classification based on machine learning applications for an un-manned aerial vehicle
• Data-Driven Methodologies for Structural Damage Detection Based on Machine Learning Applications
• Design and control of an exoskeleton in rehabilitation tasks for lower limb
• Distributed piezoelectric sensor system for damage identification in structures subjected to temperature changes
• Fast content-based audio retrieval algorithm
• Fast parallel algorithm for audio content retrieval on GPUs
• Fast parallel audio fingerprinting implementation in reconfigurable hardware and GPUs
• Interface gráfica para la monitorización de daños en estructuras metálicas y material compuesto
• Non-linear damage classification based on machine learning and damage indices
• Parallel algorithm for evolvable-based boolean synthesis on GPUs
• Parallel algorithm for evolvable-based boolean synthesis on GPUs
• Structural Damage Classification Using Machine Learning Algorithms and Performance Measures
• Structural Damage detection and classification based on Machine learning algorithms
• Structural damage classification using machine learning algorithms and performance measures