Efficient Deconvolution in Populational Inverse Problems
ABSTRACT This work is focused on the inversion task of inferring the distribution over parameters of interest, leading to multiple sets of observations. The potential to solve such distributional inversion problems is driven by the increasing availability of data, but a major roadblock is blind deconvolution, arising when the observational noise ...
Arnaud Vadeboncoeur +2 more
wiley +1 more source
Chaotic fluctuations mark the sign of mental activity in task-based heart rate variability. [PDF]
Mao T, Okutomi H, Umeno K.
europepmc +1 more source
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Secure Signal Encryption in IoT and 5G/6G Networks via Bio-Inspired Optimization of Sprott Chaotic Oscillator Synchronization. [PDF]
Maamri F +7 more
europepmc +1 more source
Nonlinear Active Site Dynamic Behavior Over In Situ Generated Working Zeolites
The methoxymethyl mechanism over α, β, and γ site ensembles and the dynamic site‐interconversion mechanism reduce the induction period of propylene formation. The methoxymethyl mechanism acts on site ensemble α generating surface methoxy species (SMS), which, through the dynamic site‐interconversion mechanism, lead to SMS on site ensembles β and γ that
Toyin Omojola
wiley +1 more source
Bifurcation analysis and phase portraits for chiral solitons with bohm potential in quantum hall effect. [PDF]
Tang L +5 more
europepmc +1 more source
Nonlinear Dynamical Systems Applications to Psychology and Management [PDF]
Guastello, Stephen J.
core +1 more source
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime +3 more
wiley +1 more source
Analytical solutions and chaotic dynamics of the extended KP-Boussinesq model via phase diagnostics. [PDF]
Şenol M +4 more
europepmc +1 more source
Anthropogenic disturbance and trophic interactions mediate population viability of American martens
We present a simulation model of the probability of collapse to <10% of carrying capacity for American marten populations over a 50‐year time frame in relation to forest disturbance due to commercial harvesting and fur‐trapping levels. Probability of collapse differed between models that assumed no effect of logging (solid line), martens living in a ...
John M. Fryxell +4 more
wiley +1 more source

