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Dispersal and extrapolation on the accuracy of temporal predictions from distribution models for the Darwin's frog
(Wiley, 2017)
Climate change is a major threat to biodiversity; the development of models that reliably predict its effects on species distributions is a priority for conservation biogeography. Two of the main issues for accurate temporal ...
Performance Prediction for Enhancing Ensemble Learning
(Universidade Federal de Minas GeraisUFMG, 2018-08-31)
Ensembling machine-learned models has shown to be a useful technique for improving the effectiveness of tasks such as classification, ad-hoc retrieval, and recommendation. Stacking, for instance, learns to weight and combine ...
Robust model predictive control of Hammerstein systems
(Nova Science Publishers, 2015)
There are very few controller design techniques that can be proven to stabilize processes in the presence of nonlinearities and constraints. Model predictive control (MPC) is one of these techniques. For this reason, there ...
Using a dynamic forest model to predict tree species distributions
(WILEY-BLACKWELL, 2016)
Aim It has been suggested that predicting species distributions requires a processbased
and preferably dynamic approach. If dynamic models are to contribute
towards understanding species distributions, uncertainties ...
Finite-Set Model Predictive Current Control of Induction Motors by Direct Use of Total Disturbance
(Institute of Electrical and Electronics Engineers Inc., 2021)
Disturbance rejection strategies are very useful for the robustness improvement of the predictive control method. But they can only be used in the modulated-based predictive control methods such as continuous set model ...
Development of a neural network model to predict distortion during the metal forming process by line heating
(2013-01)
In order to achieve automation of the plate forming process by line heating, it is necessary to know in advance the deformation to be obtained under specific heating conditions. Currently, different methods exist to predict ...
Mutualism influences species distribution predictions for a bromeliad-breeding anuran under climate change
(Wiley-Blackwell, 2017-11-01)
Ecological niche models, or species distribution models, have been widely used to identify potentially suitable areas for species in future climate change scenarios. However, there are inherent errors to these models due ...
Predictability limit of partially observed systems
(Nature, 2020)
Applications from finance to epidemiology and cyber-security require accurate forecasts of dynamic phenomena, which are often only partially observed. We demonstrate that a system's predictability degrades as a function ...
Modeling genotype × environment interaction for single and multitrait genomic prediction in potato (Solanum tuberosum L.)
(Genetics Society of America, 2023)