Results 91 to 100 of about 23,325 (286)

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance

Quality and Reliability Engineering International, EarlyView.
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

Modeling and analysis of communication systems based on computational methods for Markov chains

, 2018
Udo R. Krieger, Bruno Müller‐Clostermann, Michael Sczittnick   +2 more
openalex   +1 more source

Output‐Feedback H∞$$ {H}_{\infty } $$ Detector‐Based Control of Continuous‐Time Markov Jump Lur'e Systems With Sector‐Bound Optimization

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper addresses the problem of dynamic output‐feedback H∞$$ {H}_{\infty } $$ detector‐based control for continuous‐time Markov Jump Lur'e Systems with uncertain transition rate matrices. In contrast to conventional approaches, the proposed synthesis conditions are derived using Finsler's lemma, introducing additional slack variables to ...
Lucas P. M. Silva, Cecilia F. Morais, Ricardo C. L. F. Oliveira   +2 more
wiley   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Pathways to Sustainable Development: The Role of Property Rights, Globalization, Policy Stringency, and Institutions in E7 Economies

Sustainable Development, EarlyView.
ABSTRACT Property rights play a crucial role in protecting natural resources by enhancing individuals' and organizations' awareness of their responsibilities. Social globalization influences environmental sustainability by shaping consumption patterns.
Tunahan Degirmenci, Mehmet Aydin, Busra Yigit, B. Yasin Çakmak, Tomiwa Sunday Adebayo   +4 more
wiley   +1 more source

From Resilience to “Susilience”: Toward Further Theoretical Perspectives in Sustainable Supply Chains

Sustainable Development, EarlyView.
ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley   +1 more source

Is Reading an Upstream Predictor of Science and Mathematics Achievements in PISA? A Bayesian Network Analysis for Policy Educational Interventions on Socio‐Economic Dispersion and Gender Gaps

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This study investigates the structural relationships among reading, science and mathematics performance, socio‐economic dispersion (SES_Variance) and gender gaps using cross‐country PISA 2022 data. The primary objective is to assess whether reading functions as an upstream determinant of academic achievement and to evaluate the causal roles of
Simona‐Vasilica Oprea, Adela Bâra
wiley   +1 more source

Unravelling Cascading Phenomena in Sociotechnical Systems: A Systematic Review and Modelling Framework

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article investigates the characterization of cascading phenomena within sociotechnical systems through a systematic review and the development of a conceptual modelling framework. Cascading phenomena, often described using terms such as ripple effect, domino effect, cascading failure, risk propagation and cascading effect, capture the far‐
Jiayao Li, Alexis Evain, Clara Le Duff, Tianyuan Zhang, David Panzoli, Audrey Fertier, Benoit Montreuil, Frederick Benaben   +7 more
wiley   +1 more source