Results 201 to 210 of about 4,616 (278)
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq +4 more
wiley +1 more source
Stochastic analysis and Monte Carlo simulation of magneto-opto-acoustic wave propagation in nonlocal semiconductor excitation. [PDF]
Elsakout DM, El-Dali A, Alaofi ZM.
europepmc +1 more source
ABSTRACT This work addresses the challenge of bidirectional trajectory tracking in solar‐powered wheeled mobile robots (WMRs), considering the mechanical structure, actuator‐driver, and power stage subsystems. Notably, this is the first study to explicitly model and control the actuator‐driver subsystem within this context. The proposed solution relies
Benjamin Natanael Santiago‐Nogales +8 more
wiley +1 more source
Causal decomposition analysis with synergistic interventions: A triply robust machine-learning approach to addressing multiple dimensions of social disparities. [PDF]
Park S, Kim SY, Zheng X, Lee C.
europepmc +1 more source
Mathematical Modeling in Action: Design Principles for Mathematical Modeling Days
ABSTRACT Mathematical modeling is fundamental for numerous scientific and technical disciplines. CAMMP has taken on the challenge of providing high school students, university students, and teachers with authentic insights into modern, computer‐aided modeling practices.
Stephanie Hofmann +9 more
wiley +1 more source
Learning the bistable cortical dynamics of the sleep-onset period. [PDF]
Hu Z +4 more
europepmc +1 more source
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf +2 more
wiley +1 more source
Research on railway emergency resource scheduling strategy under multiple uncertainty coupling. [PDF]
Sun J, Wan Y, Lu G, Tang Z.
europepmc +1 more source
Statistical Detection of Adversarial Compliance With Benford's Law
ABSTRACT We address the task of identifying anomalous observations by analyzing digits under the lens of Benford's law. Motivated by the crucial objective of providing reliable statistical analysis of customs declarations, we answer one major and still open question: How can we detect the behavior of operators who are aware of the prevalence of the ...
Lucio Barabesi +3 more
wiley +1 more source
REPLAY: a GPU-accelerated tool for temporal contact network epidemiology. [PDF]
Greenlee HJ, Gebremedhin AH, Lofgren ET.
europepmc +1 more source

