Results 71 to 80 of about 5,687 (280)
Weighted Machine Learning for Spatial-Temporal Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Applying machine learning techniques to spatial-temporal data poses the question that how the recorded location and time for training samples should contribute to the training and testing process. The prior knowledge of how spatial-temporal phenomena are
Mahdi Hashemi, Hassan A. Karimi
doaj +1 more source
Cogent Engineering, 2018 Autocorrelation leads to a bias estimator of standard control charts. It is important to develop control chart that allows autocorrelation and to evaluate its performance.
Hidayatul Khusna +4 more
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Variation Pattern Recognition of the BIW OCMM Online Measurement Data Based on LSTM NN
IEEE Access, 2019 An accurate recognition of a dimensional variation pattern is very important for producing high-quality body-in-white (BIW). The wide application of optical coordination measurement machines (OCMM) in vehicle factory provided massive online dimensional ...
Changhui Liu, Kun Chen, Sun Jin, Yuan Qu
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Monoalcohol‐Directed Shape Control in a Surfactant‐Free Gold Nanoplate Synthesis
Small Methods, EarlyView.Surfactant‐free monoalcohol syntheses are advantageous in that they yield colloidal nanostructures that are free of persistent shape‐directing agents but at the expense of realizing only spherically‐shaped nanoparticles. In this work, this limitation is overcome using a low‐complexity light‐driven synthetic protocol yielding periodic arrays of gold ...
Brendan D. Nieukirk +7 more
wiley +1 more source
Discrete Dynamics in Nature and Society, 2015 The distributed fusion state estimation problem is addressed for sensor network systems with random state transition matrix and random measurement matrices, which provide a unified framework to consider some network-induced random phenomena.
Raquel Caballero-Águila +2 more
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Additive Nonparametric Regression with Autocorrelated Errors
, 1998 A Bayesian approach is presented for estimating nonparametrically an additive regression model with autocorrelated errors. Each of the potentially nonlinear components is modeled as a regression spline using many knots, while the errors are modeled by a ...
Chi-ming Wong +7 more
core +1 more source
Wildlife Biology, EarlyView.Abundant deer populations often cause conflicts in suburban communities, yet traditional population reduction methods, such as controlled hunting, can be challenging to implement. Fertility control, specifically through ovariectomy, can limit reproduction and reduce populations in certain settings, but its effect on movement behavior remains poorly ...
Vickie DeNicola +2 more
wiley +1 more source
New to town: home range size, habitat selection and behavioral adaptations by urban hares
Wildlife Biology, EarlyView.European hares Lepus europaeus have recently been shown to colonize urban areas in different parts of Europe. This appears to be a novel phenomenon, and little is known about the space use and behavioral adaptations of hares living in urban areas. Here, we describe the first findings concerning home range sizes from GPS‐collared hares (n = 3) in Aarhus
Martin Mayer +2 more
wiley +1 more source
Journal of Animal Ecology, EarlyView.Using nationwide data from over 92,000 individuals, we reveal large‐scale spatio‐temporal variation in age‐dependent survival and age at first breeding in a long‐lived species. By comparing alternative spatial models, we show that demographic variation follows a biologically meaningful spatial structure, with implications for population dynamics ...
Matia Haïm Muller +5 more
wiley +1 more source
Integrating SPC and EPC for Multivariate Autocorrelated Process
, 2005 Statistical process control (SPC) is a widely employed quality control method in industry. SPC is mainly designed for monitoring single quality characteristic.
Yang, Chien-Hui +3 more
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