Bryan P Maldonado Puente R&D Staff Contact 734.358.3371 | MALDONADOPBP@ORNL.GOV All Publications Integration of a real-time orientation measurement system for a real-time evaluator (RTE) to measure the position and orientation of crane-lifted components P2P: Point Cloud to Panel Layout Optimization Dynamic Analysis of a Six-Cable Parallel Robot for Automated Panelized Building Retrofits... Deep Point Cloud Building Envelope Segmentation (DeeP-CuBES) using Deep Learning... Automated segmentation and analysis of point clouds of pier foundations using Pier Inspection and Evaluation Report (PIER) Automating Anomaly Detection for Target systems at Spallation Neutron Source... Dynamic Modeling, Trajectory Optimization, and Linear Control of Cable-Driven Parallel Robots for Automated Panelized Building Retrofits Evolution at the Edge: Real-Time Evolution for Neuromorphic Engine Control Evaluation of AI-based Methods for Time-Series Modeling of Measurement Data of a Complex Cryogenic System Dynamic systems modeling of the spallation neutron source cryogenic moderator system to optimize transient control and prepare for power upgrades Transient Optimization of the Cryogenic Moderator System Controller at the Spallation Neutron Source for Improved Performance Component pose reconstruction using a single robotic total station for panelized building envelopes Flat and Level Analysis Tool (FLAT) for real-time automated segmentation and analysis of concrete slab point clouds Cable-Driven Parallel Robot (CDPR) for Panelized Envelope Retrofits: Feasible Workspace Analysis Optimization of prefabricated component installation using a real-time evaluator (RTE) connection locating system Reinforcement learning applied to dilute combustion control for increased fuel efficiency... Data-Driven Modeling of a High Capacity Cryogenic System for Control Optimization Analysis of Real-World Preignition Data Using Neural Networks... Automatic point Cloud Building Envelope Segmentation (Auto-CuBES) using Machine Learning Automated tracking of prefabricated components for a real-time evaluator to optimize and automate installation Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems Automatic Segmentation of Building Envelope Point Cloud Data Using Machine Learning Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators Artificial Neural Networks for In-Cycle Prediction of Knock Events Evaluation of Residual Gas Fraction Estimation Methods for Cycle-to-Cycle Combustion Variability Analysis and Modeling Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID LinkedIn Organizations Energy Science and Technology Directorate Buildings and Transportation Science Division Building Technologies Research Section Building Envelope Materials Research Group User Facilities Building Technologies Research and Integration Center Spallation Neutron Source National Transportation Research Center
