RFID framework for intelligent traffic monitoring. - Cesar Augusto Pedraza; Daniel Silva 002; Andrés Arévalo; Félix Vega (EATIS, 2016)

Design and implementation of a system to estimate arrival times of public transport vehicles with active RFID technology. - Jorge Romero; Félix Vega; Cesar Augusto Pedraza (EATIS, 2016)

Use of bluetooth technology for applications of intelligent transportation system. - Daniel Silva 002; Johan Henao; Cesar Augusto Pedraza; Félix Vega (EATIS, 2016)

Design and benchmarking of an intelligent RFID reader for vehicular traffic monitoring. - Oscar Urbano; Daniel Silva 002; Félix Vega; Cesar Augusto Pedraza (EATIS, 2016)

A review of approximate computing techniques towards fault mitigation in HW/SW systems. - Alexander Aponte-Moreno; Alejandro Moncada; Felipe Restrepo-Calle; Cesar Augusto Pedraza (LATS, 2018)

PCIV, an RFID-Based Platform for Intelligent Vehicle Monitoring. - Cesar Augusto Pedraza; Félix Vega; Gabriel Manana (IEEE Intell. Transp. Syst. Mag., 2018)

An Artificial Vision Based Method for Vehicle Detection and Classification in Urban Traffic. - Edgar Camilo Camacho; Cesar Augusto Pedraza; Carolina Higuera (IbPRIA (2), 2019)

Reducing Overheads in Software-based Fault Tolerant Systems using Approximate Computing. - Alexander Aponte-Moreno; Cesar Augusto Pedraza; Felipe Restrepo-Calle (LATS, 2019)

MiFIT: A Fault Injection Tool to Validate the Reliability of Microprocessors. - Alexander Aponte-Moreno; Felipe Restrepo-Calle; Cesar Augusto Pedraza (LATS, 2019)

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications. - Diego Alexander Tibaduiza Burgos; Ricardo C. Gomez Vargas; Cesar Augusto Pedraza; David Agis; Francesc Pozo (Sensors, 2020)

Cost-Effective Implementation of a Temperature Traceability System Based on Smart RFID Tags and IoT Services. - Oscar Urbano; Angel Perles; Cesar Augusto Pedraza; Susana Rubio-Arraez; María Luisa Castelló; María Dolores Ortola; Ricardo Mercado (Sensors, 2020)

Reliability Evaluation of RISC-V and ARM Microprocessors Through a New Fault Injection Tool. - Alexander Aponte-Moreno; Felipe Restrepo-Calle; Cesar Augusto Pedraza (LATS, 2021)

Locating Ships Using Time Reversal and Matrix Pencil Method by Their Underwater Acoustic Signals. - Daniel Chaparro-Arce; Sergio Gutierrez; Andres Gallego; Cesar Augusto Pedraza; Félix Vega; Carlos Gutierrez (Sensors, 2021)

Temperature Prediction Using Multivariate Time Series Deep Learning in the Lining of an Electric Arc Furnace for Ferronickel Production. - Jersson X. Leon-Medina; Jaiber Camacho; Camilo Gutierrez-Osorio; Julián Esteban Salomón; Bernardo Rueda; Whilmar Vargas; Jorge I. Sofrony; Felipe Restrepo-Calle; Cesar Augusto Pedraza; Diego A. Tibaduiza (Sensors, 2021)

FTxAC: Leveraging the Approximate Computing Paradigm in the Design of Fault-Tolerant Embedded Systems to Reduce Overheads. - Alexander Aponte-Moreno; Felipe Restrepo-Calle; Cesar Augusto Pedraza (IEEE Trans. Emerg. Top. Comput., 2021)

Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media Data. - Camilo Gutierrez-Osorio; Fabio A. González 001; Cesar Augusto Pedraza (Comput., 2022)

Extraction and Analysis of Social Networks Data to Detect Traffic Accidents. - Nestor Suat-Rojas; Camilo Gutierrez-Osorio; Cesar Augusto Pedraza (Inf., 2022)

Attention-Based Deep Recurrent Neural Network to Forecast the Temperature Behavior of an Electric Arc Furnace Side-Wall. - Diego F. Godoy-Rojas; Jersson X. Leon-Medina; Bernardo Rueda; Whilmar Vargas; Juan Romero; Cesar Augusto Pedraza; Francesc Pozo; Diego A. Tibaduiza (Sensors, 2022)