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Francklin Rivas
Francklin Rivas
Yachay Tech, MIU City University Miami, PUCESI, Universidad de Los Andes
Verified email at ula.ve
Title
Cited by
Cited by
Year
State of the art of artificial intelligence and predictive analytics in the E&P industry: a technology survey
C Bravo, L Saputelli, F Rivas, AG Pérez, M Nikolaou, G Zangl, ...
Spe Journal 19 (04), 547-563, 2014
1172014
Control de sistemas no lineales: Linealización aproximada, extendida, exacta
H Sira-Ramírez, R Márquez, F Rivas-Echeverría, O Llanes-Santiago
Pearson Prentice Hall, 2005
932005
Heath monitoring of capacitors and supercapacitors using the neo-fuzzy neural approach
A Soualhi, M Makdessi, R German, FR Echeverría, H Razik, A Sari, ...
IEEE Transactions on Industrial Informatics 14 (1), 24-34, 2017
742017
Computación Inteligente
J Aguilar, F Rivas
MERITEC, June, 2001
692001
A multiagent model for intelligent distributed control systems
J Aguilar, M Cerrada, G Mousalli, F Rivas, F Hidrobo
Knowledge-Based Intelligent Information and Engineering Systems: 9th …, 2005
512005
Classification of Venezuelan spirituous beverages by means of discriminant analysis and artificial neural networks based on their Zn, Cu and Fe concentrations
EA Hernández-Caraballo, RM Avila-Gómez, T Capote, F Rivas, AG Pérez
Talanta 60 (6), 1259-1267, 2003
492003
Evaluation of chemometric techniques and artificial neural networks for cancer screening using Cu, Fe, Se and Zn concentrations in blood serum
EA Hernández-Caraballo, F Rivas, AG Pérez, LM Marcó-Parra
Analytica Chimica Acta 533 (2), 161-168, 2005
322005
Control de sistemas no lineales
H Sira, R Márquez, F Rivas, O Llanes
Mdrid: Pearson Prentice Hall, 2005
282005
Diseño de una arquitectura de automatización industrial basada en sistemas multi-agentes
C Bravo, JL Aguilar, FI Rivas
Ciencia e Ingeniería 25 (2), 75-88, 2004
272004
Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables
Y Quintero, D Ardila, E Camargo, F Rivas, J Aguilar
Computers in biology and medicine 134, 104500, 2021
252021
Long-term prediction of bearing condition by the neo-fuzzy neuron
A Soualhi, G Clerc, H Razik, F Rivas
2013 9th IEEE International Symposium on Diagnostics for Electric Machines …, 2013
242013
Perfiles metabólicos en preparto, parto y postparto en vacas de raza rubia gallega: estudio preliminar
LA Quintela, JJ Becerra, C Rey, C Díaz, J Cainzos, F Rivas, W Huanca, ...
Recursos Rurais, 2011
232011
Control de procesos
O Camacho, A Rosales, F Rivas
Quito-Ecuador: EPN Editorial, 2020
222020
Time Series Forecasting using ARIMA, Neural Networks and Neo Fuzzy Neurons
J COLLANTES-DUARTE, F RIVAS-ECHEVERRÍA
3rd WSEAS International Conference on Neural Networks and Applications (NNA …, 2002
222002
Diseño de un medio de gestión de servicios para sistemas multiagentes
V Bravo, J Aguilar, F Rivas, M Cerrada
Proceeding of XXX Conferencia Latinoamericana de Informática, 431-439, 2004
212004
Neural network-based auto-tuning for PID controllers
F Rivas-Echeverria, A Rios-Bolivar, J Casales-Echeverria
Neural Network World 11 (3), 277-284, 2001
212001
Sistema Inteligente para la Generación Automática de Contratos en el marco de la Ley de Contrataciones Públicas
F Rivas, M Asprino, J Sarache, F León
Revista Politécnica 44 (1), 41-48, 2019
192019
State-of-the-art application of artificial intelligence and trends in the E&P industry: A technology survey
CE Bravo, LA Saputelli, FI Rivas, AG Perez, M Nikolaou, G Zangl, ...
SPE Intelligent Energy International, 2012
192012
Applying analytics to production workflows: Transforming integrated operations into intelligent operations
C Bravo, J Rodriguez, L Saputelli, F Rivas
SPE Intelligent Energy International Conference and Exhibition, SPE-167823-MS, 2014
182014
An implementation of a distributed artificial intelligence architecture to the integrated production management
C Bravo, JA Castro, L Saputelli, A Ríos, J Aguilar-Martin, F Rivas
Journal of Natural Gas Science and Engineering 3 (6), 735-747, 2011
182011
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Articles 1–20