A Joint Framework of IMM-LSTM-C Tracking and IBPDO-Based Node Selection for Energy-Efficient Cooperative Tracking in Underwater Acoustic Sensor Networks. [PDF]
Zhang W, Hou Y, Zhu H.
europepmc +1 more source
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
TC-HUR: A Tri-Phase Cauchy-Assisted Hunger Games Search and Unified Runge-Kutta Optimizer for Robust DNA Data Storage. [PDF]
Öztürk B +5 more
europepmc +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
Improved Superb Fairy-Wren Optimization Algorithm and Its Application. [PDF]
Cao Y, Lv H, Cui Y, Wu Z, Zhang Q.
europepmc +1 more source
ABSTRACT Computational mechanics is inherently complex, as the underlying physical processes evolve in three spatial dimensions and time. Thus, intuitive visualizations in traditional lecture notes or on blackboards are challenging. This motivates the use of animation software to illustrate time‐dependent three‐dimensional phenomena, which complement ...
Moritz Flaschel
wiley +1 more source
Enhanced generalized normal distribution optimizer with Gaussian distribution repair method and cauchy reverse learning for features selection. [PDF]
Ghetas M, Elaziz MA, Issa M.
europepmc +1 more source
Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley +1 more source
A PINN-driven game-theoretic framework in limited data photoacoustic tomography. [PDF]
Roy S, Pal S.
europepmc +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

