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Dynamic model change analysis of social behavior processes during the COVID19 pandemic.

, , , , , and . CSCI, page 1381-1387. IEEE, (2021)

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Neuro-dynamic programming-based optimal control for crop growth in precision agriculture., , , , and . ISIC, page 397-402. IEEE, (2004)Time-series prediction with BEMCA approach: Application to short rainfall series., , , , , and . LA-CCI, page 1-6. IEEE, (2017)A New Approach to Segmentation of Multispectral Remote Sensing Images Based on MRF., , , and . IEEE Geosci. Remote. Sens. Lett., 12 (8): 1720-1724 (2015)Fisher Vectors for Leaf Image Classification: An Experimental Evaluation., , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 298-305. Springer, (2015)A new image segmentation framework based on two-dimensional hidden Markov models., , , and . Integr. Comput. Aided Eng., 23 (1): 1-13 (2016)A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series., , , , , and . Computación y Sistemas, (2011)Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series., , , , , and . IJCNN, page 1-6. IEEE, (2013)Dynamic model change analysis of social behavior processes during the COVID19 pandemic., , , , , and . CSCI, page 1381-1387. IEEE, (2021)A Statistically Dependent Approach for the Monthly Rainfall Forecastfrom One Point Observations., , and . CCTA (2), volume 294 of IFIP Advances in Information and Communication Technology, page 787-798. Springer, (2008)Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series., , , , , and . LA-CCI, page 1-6. IEEE, (2016)