Results 141 to 150 of about 11,987,045 (279)
Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning. [PDF]
Khaniki MAL, Mirzaee M, Moradi E.
europepmc +1 more source
Nonparametric Survival Estimation With Contaminated and Adjudicated Events
ABSTRACT We study the conditional expert Kaplan–Meier estimator, an extension of the classical Kaplan–Meier estimator designed for time‐to‐event data subject to both right‐censoring and contamination. Such contamination, where observed events may not reflect true outcomes, is common in applied settings, including insurance and credit risk, where expert
Martin Bladt, Kristian Vilhelm Dinesen
wiley +1 more source
Integrated Trajectory Planning, MEC Offloading, and Safety Coordination for Multi-UAV Disaster Response. [PDF]
Armoush R +3 more
europepmc +1 more source
On the Design of Terminal Ingredients in Periodic Model Predictive Path‐Following
ABSTRACT Establishing recursive feasibility and convergence for nonlinear model predictive path‐following control (MPPFC) is a non‐trivial task, particularly when following periodic reference paths. We propose a procedure for the design of terminal ingredients in MPPFC for constrained nonlinear systems.
Mohamed Abou‐Taleb +3 more
wiley +1 more source
Bifurcations and Hyperchaos in Mathematical Models of Sleep. [PDF]
Scibilia A, Fortuna L.
europepmc +1 more source
Proto‐Panic Modulation by Caffeine‐Proteinoid Complexes
Caffeine–proteinoid microspheres synthesized by thermal polymerization exhibit compartmentalized drug loading with encapsulation efficiencies of 61%–82% and triphasic release kinetics. Electrochemical monitoring reveals multi‐scale oscillatory dynamics consistent with chaotic and damped harmonic behavior, while Boolean logic operations demonstrate ...
Panagiotis Mougkogiannis +1 more
wiley +1 more source
A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning. [PDF]
Varghese AJ +6 more
europepmc +1 more source
QG‐Python is an open, reproducible 1.5‐layer quasi‐geostrophic modelling service whose published diagnostics show that the classical von Neumann bound underestimates the true Leapfrog stability limit by a factor of 13.7, and that the Robert–Asselin–Williams filter reduces kinetic energy and enstrophy biases from ~21% and ~45% to under 4%.
Elias D. Nino‐Ruiz
wiley +1 more source
A Lyapunov-PINN framework for global stability of an SEIR epidemic model with educational interventions. [PDF]
Ahmad S, Kumar G, Butt AIK, Nuwairan MA.
europepmc +1 more source

