NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris +7 more
wiley +1 more source
Monitoring the Process Mean of Autocorrelated Data [PDF]
When modeling the stochastic behavior of a sequence { } t X of the quality measurement X on the output of a production process, it is usually assumed the measurements taken over time are independent and identically distributed.
King, Jesse Dorian
core +1 more source
Environmental Stressors Influence Spatial Complexity in a Fluvial Macrophyte meadow
This research investigates the nonlinear relationships between environmental stressors and the fine‐scale spatial complexity of a fluvial macrophytes meadow. The use of multivariate spatial analysis allowed us to identify two major environmental gradients (nutrients and light) and two major complexity gradients (related to abundance and fragmentation).
Arthur de Grandpré +2 more
wiley +1 more source
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
Replication Data for: Nonparametric Threshold Estimation of Autocorrelated Statistics in Multivariate Statistical Process Monitoring [PDF]
Data and code to reproduce the results in Grimm, T. R., Newhart, K. B., Hering, A. S. "Nonparametric Threshold Estimation of Autocorrelated Statistics in Multivariate Statistical Process Monitoring".
Newhart, Kathryn B. +3 more
core +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
Women's Empowerment, Governance, and the Economics of Clean Cooking Transitions in Africa
ABSTRACT Over the past few decades, the global economy, particularly in developing nations, has persistently grappled with rising dependence on conventional energy resources, thus rendering the realization of Sustainable Development Goals 5 and 7 (SDGs 5 and 7) an elusive aspiration for the international community.
Stephen Kelechi Dimnwobi +2 more
wiley +1 more source

