Analogs of the Prime Number Problem in a Shot Noise Suppression of the Soft-Reset Process. [PDF]
Hirose Y.
europepmc +1 more source
Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas +3 more
wiley +1 more source
Information Content and Maximum Entropy of Compartmental Systems in Equilibrium. [PDF]
Metzler H, Sierra CA.
europepmc +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN method. [PDF]
Yu Y +5 more
europepmc +1 more source
Bivariate postprocessing of wind vectors
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Activity Detection and Channel Estimation Based on Correlated Hybrid Message Passing for Grant-Free Massive Random Access. [PDF]
Liu X, Gong X, Fu X.
europepmc +1 more source
Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance
ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
wiley +1 more source
Predicting and optimizing the impact responses of the airbag landing system by the simulation-based deep learning model. [PDF]
Shen X, Liu C.
europepmc +1 more source

