A theory for the interaction between a boundary layer and a low mountain is used to provide estimates of the turbulent orographic form drag, upward‐propagating mountain gravity‐wave drag, and trapped lee‐wave drag (case shown in the figure). After reviewing briefly how these processes are represented in weather and climate models, we propose a ...
Francois Lott +2 more
wiley +1 more source
Set-Membership Estimation for Switched T-S Fuzzy Systems with MDADT Switching in Tunnel Diode Circuits. [PDF]
Xu J, Li Y, Guan C, Wang Z, Liu R.
europepmc +1 more source
A structurally localized ensemble Kalman filtering approach
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
High-precision calculation of the quark-gluon coupling from lattice QCD. [PDF]
Dalla Brida M +6 more
europepmc +1 more source
Modulation of wind drag by tidal currents in an embayment
Tidal currents modulate how wind energy enters the surface wave field by influencing both wave drag and wave generation. In Shark Bay, following currents reduce effective wave steepness and wind drag, and opposing currents enhance wave growth. Wind energy is partitioned between wave drag and the creation of new waves, explaining observed tidal ...
Stephen M. Thurgate +1 more
wiley +1 more source
Fault-tolerant control of quadrotor unmanned aerial vehicle by using adaptive fuzzy T-S and linear matrix inversion approach. [PDF]
Taimoor M +7 more
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
Data-Driven Operational Bounds of Transmembrane Pressure for Modelling and Digital Twin Development in Haemodialysis and Haemodiafiltration. [PDF]
Dinu A, Frunzete M, Mihailovschi D.
europepmc +1 more source
A Robust Self‐Starting Bayesian Approach for Multivariate Phase II Monitoring
ABSTRACT Traditional multivariate control charts require in‐control (IC) parameter estimates to be known or estimated from a large set of uncontaminated, historical Phase I observations. However, some processes need to be monitored when little Phase I data are available, and self‐starting approaches, including Bayesian methods, have proven useful. Self‐
Taylor R. Grimm +2 more
wiley +1 more source
A Caputo fractional-order SEIHRD model for Ebola: theoretical analysis, sensitivity, bifurcation, and numerical simulations. [PDF]
Malathy R, Krishnan GSS, Loganathan K.
europepmc +1 more source

