Estimation of Eucalyptus productivity using efficient artificial neural network
RR de Oliveira Neto, HG Leite, JM Gleriani… - European Journal of …, 2022 - Springer
Prediction of plantation productivity from environmental data is challenged by the complex
relationships defining the growth and yield processes. Artificial neural network (ANN) can be …
relationships defining the growth and yield processes. Artificial neural network (ANN) can be …
Exploratory Spatio-Temporal Data Analysis (ESTDA) of Dengue and its association with climatic, environmental, and sociodemographic factors in Punjab, India
Routine health data is rich in information but underutilised for research in Low and Middle-
Income countries. The present study was carried out to understand spatiotemporal patterns …
Income countries. The present study was carried out to understand spatiotemporal patterns …
Development of nonlinear parsimonious forest models using efficient expansion of the taylor series: Applications to site productivity and taper
The parameters of nonlinear forest models are commonly estimated with heuristic
techniques, which can supply erroneous values. The use of heuristic algorithms is partially …
techniques, which can supply erroneous values. The use of heuristic algorithms is partially …
Nonlinear parsimonious forest modeling assuming normal distribution of residuals
To avoid the transformation of the dependent variable, which introduces bias when back-
transformed, complex nonlinear forest models have the parameters estimated with heuristic …
transformed, complex nonlinear forest models have the parameters estimated with heuristic …
Impact of algorithm selection on modeling ozone pollution: a perspective on Box and Tiao (1975)
Estimation using a suboptimal method can lead to imprecise models, with cascading effects
in complex models, such as climate change or pollution. The goal of this study is to compare …
in complex models, such as climate change or pollution. The goal of this study is to compare …
Transformées stabilisatrices de variance pour l'estimation de l'intensité du Shot Noise: application à l'estimation du flux neutronique
T Montagu - 2024 - theses.hal.science
Le Shot Noise est un processus aléatoire qui permet notamment de modéliser fidèlement le
nombre d'occurrences des interactions entre particules physiques et leurs détecteurs …
nombre d'occurrences des interactions entre particules physiques et leurs détecteurs …