Neural identification and control of a linear induction motor using an α - β model. - Victor H. Benitez; Alexander G. Loukianov; Edgar N. Sánchez (ACC, 2003)

Neural block control for a synchronous electric generator. - Victor H. Benitez; Edgar N. Sánchez; Alexander G. Loukianov (IJCNN, 2004)

Neural identification and control for linear induction motors. - Victor H. Benitez; Edgar N. Sánchez; Alexander G. Loukianov (J. Intell. Fuzzy Syst., 2005)

Decentralized adaptive recurrent neural control structure. - Victor H. Benitez; Edgar N. Sánchez; Alexander G. Loukianov (Eng. Appl. Artif. Intell., 2007)

Developing a Mini-heliostat Array for a Solar Central Tower Plant: A Practical Experience. - Victor H. Benitez; Jesus Pacheco; Nun Pitalua-Diaz (Intell. Autom. Soft Comput., 2014)

IoT framework for smart buildings with cloud computing. - Enrique Carrillo; Victor H. Benitez; Cereza Mendoza; Jesus Pacheco (ISC2, 2015)

Finger Position Classification from Myoelectric Signal using Time Domain Based Features. - Guadalupe A. Torres; Victor H. Benitez (ICCMA, 2016)

Trajectory Tracking Methodology using sEMG Signals for Tracking Finger Motions. - Victor H. Benitez; Jesus Pacheco (ICCMA, 2018)

Anomaly Behavior Analysis for Fog Nodes Availability Assurance in IoT Applications. - Jesus Pacheco; Victor H. Benitez; Cihan Tunc; Clarisa Grijalva (AICCSA, 2019)

Anomaly Behavior Analysis for IoT Network Nodes. - Jesus Pacheco; Victor H. Benitez; Luis Félix (ICFNDS, 2019)

Artificial Neural Networks-Based Intrusion Detection System for Internet of Things Fog Nodes. - Jesus Pacheco; Victor H. Benitez; Luis Carlos Félix-Herrán; Pratik Satam (IEEE Access, 2020)

Autonomic Hydroponic System with Real Time Monitoring. - Cristian Nuñez; José Moreno; Juan Valdez; Jose Quiroga; Jesus Pacheco; Victor H. Benitez (ICCMA, 2021)

AI Classifiers Comparison for Network Anomaly Behavior Analysis. - Jesus Pacheco; Marco Lopez; Victor H. Benitez (AICCSA, 2022)

Vibration Analysis of an Industrial Motor with Autoencoder for Predictive Maintenance. - Cristian Nuñez; Roberto Moreno; Victor H. Benitez; Jesus Pacheco (MICAI (2), 2022)

Development of a Muscle Fatigue Monitoring Tool Using Myo-Electric Signals and IoT. - Marco A. Lopez Oroz; Pedro González-Zamora; Jesus Pacheco; Victor H. Benitez (Res. Comput. Sci., 2022)

Anomaly Behavior Analysis for Sensors Fault Detection. - Guillermo Pérez; Jesus Pacheco; Victor H. Benitez (SSCI, 2023)

A feature-based processing framework for real-time implementation of muscle fatigue measurement. - Pedro González-Zamora; Victor H. Benitez; Jesus Pacheco (Clust. Comput., 2023)

Design of a two-degrees-of-freedom robotic arm for monitoring applications for teaching robotics and artificial intelligence technology. - Fausto A. Valenzuela-Domínguez; Laura F. Munguía-Martínez; Sofía Meléndez-Tiznado; Zuneth Guzmán-Limón; Victor H. Benitez; Luis Carlos Félix-Herrán (Comput. Appl. Eng. Educ., 2024)

Lightweight Deep Learning for sEMG-Based Fingers Position Classification and Embedded System Deployment. - Victor H. Benitez; Jesus Pacheco; Guillermo Cuamea-Cruz (IEEE Access, 2025)