Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges. - Aramis Pérez; Vanessa Quintero; Heraldo Rozas; Francisco Jaramillo; Rodrigo Moreno; Marcos E. Orchard (CoDIT, 2017)

Characterization of the degradation process of lithium-ion batteries when discharged at different current rates. - Aramis Pérez; Vanessa Quintero; Francisco Jaramillo; Heraldo Rozas; Diego Jiménez; Marcos E. Orchard; Rodrigo Moreno (J. Syst. Control. Eng., 2018)

Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm. - Marcos E. Orchard; Carlos Muñoz Poblete; Juan Ignacio Huircan; Patricio Galeas; Heraldo Rozas (Sensors, 2019)

Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications. - César Díaz; Vanessa Quintero; Aramis Pérez; Francisco Jaramillo; Claudio Burgos-Mellado; Heraldo Rozas; Marcos E. Orchard; Doris Sáez; Roberto Cárdenas (IEEE Trans. Veh. Technol., 2020)

Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy. - Heraldo Rozas; Diego Muñoz-Carpintero; Doris Sáez; Marcos E. Orchard (Expert Syst. Appl., 2021)

An online decision-making strategy for routing of electric vehicle fleets. - Juan-Pablo Futalef; Diego Muñoz-Carpintero; Heraldo Rozas; Marcos E. Orchard (Inf. Sci., 2023)

Wasserstein Distributionally Robust Multiclass Support Vector Machine. - Michael Ibrahim 004; Heraldo Rozas; Nagi Gebraeel (CoRR, 2024)

A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis. - Michael Ibrahim 004; Heraldo Rozas; Nagi Gebraeel; Weijun Xie 001 (CoRR, 2024)

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults. - Michael Ibrahim 004; Heraldo Rozas; Nagi Gebraeel (J. Comput. Inf. Sci. Eng., 2024)

FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set. - Michael Ibrahim 004; Heraldo Rozas; Nagi Gebraeel; Weijun Xie 001 (UAI, 2025)