Results 61 to 70 of about 10,496,278 (261)
Process Capability Analysis in the Presence of Autocorrelation [PDF]
The classical method of process capability analysis necessarily assumes that collected data are independent; nonetheless, some processes such as biological and chemical processes are autocorrelated and violate the independency assumption.
Mohsen Mohamadi +2 more
doaj
A two-sided Bernoulli-based CUSUM control chart with autocorrelated observations
Usually, in monitoring a proportion p, the binary observations are considered independent; however, in many real cases, there is a continuous stream of autocorrelated binary observations in which a two-state Markov chain model is applied with first-order
S. M. T. Fatemi Ghomi, F. Sogandi
doaj +1 more source
Weighted Machine Learning for Spatial-Temporal Data
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
The CUSUM control chart is suitable for detecting small to moderate parameter shifts for processes involving autocorrelated data. The average run length (ARL) can be used to assess the ability of a CUSUM control chart to detect changes in a long-memory ...
Yupaporn Areepong, Wilasinee Peerajit
doaj +1 more source
New to town: home range size, habitat selection and behavioral adaptations by urban hares
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
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
doaj +1 more source
Variation Pattern Recognition of the BIW OCMM Online Measurement Data Based on LSTM NN
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
doaj +1 more source
First insights into the movement patterns of maned wolf with sarcoptic mange
Understanding how infectious diseases influence wildlife behavior, particularly in habitats undergoing modification, is crucial for predicting disease outbreaks, assessing impacts on population fitness, and mitigating human health risks. Sarcoptic mange can alter wildlife movement and space use, yet its effects on threatened carnivores remain unclear ...
Ana Yoko Ykeuti Meiga +18 more
wiley +1 more source
Autocorrelated process monitoring using triggered cuscore charts
Some of the most widely-investigated control charting techniques for autocorrelated data are based on time series residuals. If the mean shift in the autocorrelated process is a sudden step shift, the resulting mean shift in the residuals is time varying
Shu, Lianjie +5 more
core +1 more source
By comparing widespread surveys with randomly placed cameras to a protocol pairing detection dogs with cameras, we found that the detection‐dog‐guided camera survey had approximately 33 times greater detections with fewer camera nights and reduced survey costs. We recommend using detection dogs to identify areas to focus camera trapping. ABSTRACT Multi‐
Jenna B. Myers +5 more
wiley +1 more source

