Results 101 to 110 of about 38,694 (221)

Index-Based Neural Network Framework for Truss Structural Analysis via a Mechanics-Informed Augmented Lagrangian Approach

Buildings
This study proposes an Index-Based Neural Network (IBNN) framework for the static analysis of truss structures, employing a Lagrangian dual optimization technique grounded in the force method.
Hyeonju Ha, Sudeok Shon, Seungjae Lee
doaj   +1 more source

Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa, A. Folch, Y. J. Suzuki, L. Mingari, G. Macedonio   +4 more
wiley   +1 more source

A new hybrid method for size and topology optimization of truss structures using modified ALGA and QPGA

Journal of Civil Engineering and Management, 2017
Modified Augmented Lagrangian Genetic Algorithm (ALGA) and Quadratic Penalty Function Genetic Algo­rithm (QPGA) optimization methods are proposed to obtain truss structures with minimum structural weight using both continuous and discrete design ...
Nima Noii, Iman Aghayan, Iman Hajirasouliha, Mehmet Metin Kunt   +3 more
doaj   +1 more source

Ghost imaging enhancement for detections of the low-transmittance objects

International Journal of Advanced Robotic Systems, 2020
The underwater environment is extremely complex and variable, which makes it difficult for underwater robots detecting or recognizing surroundings using images acquired with cameras.
Ying Zhang, Wendong Li, Yonghe Yu, Ya Xiao, Dongyu Xu, Weikai He, Yongjian Gu   +6 more
doaj   +1 more source

PID‐Like Robust Control of Non‐Minimum Phase Robotic Manipulators

International Journal of Robust and Nonlinear Control, Volume 36, Issue 8, Page 4490-4503, 25 May 2026.
ABSTRACT This paper proposes an output‐feedback tracking controller for non‐minimum phase nonlinear systems with unknown uncertainties and external disturbances, where not all states are measurable, and the zero dynamics are unstable. The approach combines a backstepping‐based stabilizing state‐feedback law with a cascade extended high‐gain observer ...
Mohammad Al Saaideh, Almuatazbellah Boker, Mohammad Al Janaideh   +2 more
wiley   +1 more source

Robust Low-Rank and Spatio–Temporal Regularization Framework for Moving-Vehicle Detection in Satellite Videos

Remote Sensing
Satellite videos are widely applied for large-scale surveillance. Existing low-rank matrix decomposition-based methods produce promising results under simple and stationary backgrounds. However, these methods suffer a severe performance drop on satellite
Honghu Hua, Jun Chen, Qian Yin, Yinghui Gao, Rixiang Ni, Feiyu Ren, Wei An, Hui Xu   +7 more
doaj   +1 more source

Compressed sensing MRI via fast linearized preconditioned alternating direction method of multipliers

BioMedical Engineering OnLine, 2017
Background The challenge of reconstructing a sparse medical magnetic resonance image based on compressed sensing from undersampled k-space data has been investigated within recent years.
Shanshan Chen, Hongwei Du, Linna Wu, Jiaquan Jin, Bensheng Qiu   +4 more
doaj   +1 more source

Fluctuating Interfaces in Barotropic Beta‐Plane Turbulence

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Zonal jets manifest themselves as bands with sharp interfaces in the vorticity configuration. We develop an algorithm to track these fluctuating vorticity interfaces and systematically investigate their characteristic spatio‐temporal behaviors.
Sandip Sahoo, Samriddhi Sankar Ray
wiley   +1 more source

Multiplier-continuation algorthms for constrained optimization [PDF]

Several path following algorithms based on the combination of three smooth penalty functions, the quadratic penalty for equality constraints and the quadratic loss and log barrier for inequality constraints, their modern counterparts, augmented ...
Bing, Yang, Lundberg, Bruce N., Poore, Aubrey B.   +2 more
core   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, Volume 72, Issue 5, May 2026.
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, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source