Publisher
Springer Nature Switzerland
Reference19 articles.
1. Quiros, A.R.F., Abad, A., Bedruz, R.A., Uy, A.C., and Dadios, E. P.: A genetic algorithm and artificial neural network-based approach for the machine vision of plate segmentation and character recognition. In: 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015 (2016)
2. Gerardo, M., et al.: Neural networks applied to irrigation control using instrumentation and image analysis for a micro-greenhouse applied to the cultivation of basil. Res. Comput. Sci. 147(5), 93–103 (2018)
3. Fuentes, M.S., Zelaya, N.A.L., Avila, J.L.O.: Coffee fruit recognition using artificial vision and neural networks. In: 5th International Conference on Control and Robotics Engineering, ICCRE 2020, pp. 224–228 (2020)
4. Riquelme, I.: Revisión de los Algoritmos Bio inspirados. Universidad de Manchester, no. June, pp. 1–31 (2014)
5. Crawford, B., Soto, R., Legue, I.F., Olguin, E.: Algoritmo Discreto de Optimización Hiebras Invasivas para el Set Covering Problem. In: Iberian Conference on Information Systems and Technologies, CISTI, vol. 2016 (2016)