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Configuration of the Deep Neural Network Hyperparameters for the Hypsometric Modeling of the Guazuma crinita Mart. in the Peruvian Amazon
(MDPIBZ, 2022-04-22)The Guazuma crinita Mart. is a dominant species of great economic importance for the inhabitants of the Peruvian Amazon, standing out for its rapid growth and being harvested at an early age. Understanding its vertical ... -
Improving 3-PG calibration and parameterization using artificial neural networks
(Elsiver IncBJ, 2023-01-23)Understanding how the physiological processes of trees are affected by the environment or silvicultural practices is important for forest management, which requires process-based models. It enables the evaluation of the ... -
IoT technology enabled stochastic computing paradigm for numerical simulation of heterogeneous mosquito model
(springer LinkCF, 2022-11-19)In this communication, a fractional order design and numerical form of the solutions are presented for numerical simulations of heterogeneous mosquito model. The use of the fractional order derivatives is exploited to ... -
Artificial neural network-based heuristic to solve COVID-19 model including government strategies and individual responses
(Informatics in Medicine UnlockedBT, 2022-07-16)The current work aims to design a computational framework based on artificial neural networks (ANNs) and the optimization procedures of global and local search approach to solve the nonlinear dynamics of the spread of ... -
Swarming Computational Techniques for the Influenza Disease System
(Tech Science PressAS, 2022-07-28)The current study relates to designing a swarming computational paradigm to solve the influenza disease system (IDS). The nonlinear system’s mathematical form depends upon four classes: susceptible ndividuals, infected ...