Virtual reality training system for maintenance and operation of high-voltage overhead power lines AA García, IG Bobadilla, GA Figueroa, MP Ramírez, JM Román Virtual Reality 20 (1), 27-40, 2016 | 151 | 2016 |
A temporal Bayesian network for diagnosis and prediction G Arroyo-Figueroa, LE Sucar arXiv preprint arXiv:1301.6675, 2013 | 136 | 2013 |
Advanced control algorithms for steam temperature regulation of thermal power plants A Sanchez-Lopez, G Arroyo-Figueroa, A Villavicencio-Ramirez International Journal of Electrical Power & Energy Systems 26 (10), 779-785, 2004 | 82 | 2004 |
Cotton fabric dyeing with cochineal extract: influence of mordant concentration G Arroyo‐Figueroa, GML Ruiz‐Aguilar, G Cuevas‐Rodriguez, ... Coloration Technology 127 (1), 39-46, 2011 | 66 | 2011 |
Feature selection with a perceptron neural net M Mejía-Lavalle, E Sucar, G Arroyo Proceedings of the international workshop on feature selection for data …, 2006 | 65 | 2006 |
Exploring dynamic Bayesian belief networks for intelligent fault management systems R Sterritt, AH Marshall, CM Shapcott, SI McClean Smc 2000 conference proceedings. 2000 ieee international conference on …, 2000 | 61 | 2000 |
Origin and evolution of tomato production Lycopersicon esculentum in México TM Saavedra, GA Figueroa, JGD Cauih Ciência Rural 47, 20160526, 2016 | 59 | 2016 |
Learning analytics for student modeling in virtual reality training systems: Lineworkers case G Santamaría-Bonfil, MB Ibáñez, M Pérez-Ramírez, G Arroyo-Figueroa, ... Computers & Education 151, 103871, 2020 | 56 | 2020 |
The use of a virtual reality training system to improve technical skill in the maintenance of live-line power distribution networks M Perez-Ramirez, G Arroyo-Figueroa, A Ayala Interactive Learning Environments 29 (4), 527-544, 2021 | 55 | 2021 |
Temporal Bayesian network of events for diagnosis and prediction in dynamic domains G Arroyo-Figueroa, LE Sucar Applied Intelligence 23, 77-86, 2005 | 50 | 2005 |
Probabilistic temporal reasoning and its application to fossil power plant operation G Arroyo-Figueroa, LE Sucar, A Villavicencio Expert Systems with Applications 15 (3-4), 317-324, 1998 | 45 | 1998 |
Incorporating an affective model to an intelligent tutor for mobile robotics Y Hernández, J Noguez, E Sucar, G Arroyo-Figueroa Proceedings. Frontiers in Education. 36th Annual Conference, 22-27, 2006 | 31 | 2006 |
Comparison of two types of event Bayesian networks: A case study SF Galán, G Arroyo-Figueroa, FJ Díez, LE Sucar Applied Artificial Intelligence 21 (3), 185-209, 2007 | 30 | 2007 |
SEDRET—an intelligent system for the diagnosis and prediction of events in power plants G Arroyo-Figueroa, Y Alvarez, LE Sucar Expert Systems with Applications 18 (2), 75-86, 2000 | 29 | 2000 |
Virtual reality training system for the maintenance of underground lines in power distribution system I Galvan-Bobadilla, A Ayala-Garcia, E Rodriguez-Gallegos, ... Third International Conference on Innovative Computing Technology (INTECH …, 2013 | 26 | 2013 |
Big data & analytics to support the renewable energy integration of smart grids G Escobedo, N Jacome, G Arroyo-Figueroa Proceedings of the 2nd International Conference on Internet of Things, Big …, 2017 | 24 | 2017 |
Dynamic matrix control of steam temperature in fossil power plants LA Sanchez, FG Arroyo, RA Villavicencio IFAC Proceedings Volumes 28 (26), 275-280, 1995 | 24 | 1995 |
SADEP—a fuzzy diagnostic system shell-an application to fossil power plant operation G Arroyo-Figueroa, E Solis, A Villavicencio, LE Sucar Expert Systems with Applications 14 (1-2), 43-52, 1998 | 23 | 1998 |
Fuzzy intelligent system for the operation of fossil power plants G Arroyo-Figueroa, LE Sucar, A Villavicencio Engineering Applications of Artificial Intelligence 13 (4), 431-439, 2000 | 19 | 2000 |
Comparison of selected food characteristics of three cultivars of bean Phaseolus vulgaris O Paredes‐López, R Montes‐Ribera, J González‐Castañeda, ... International Journal of Food Science & Technology 21 (4), 487-494, 1986 | 19 | 1986 |