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Experimental Research on the Correction of Vortex Light Wavefront Distortion
Published 2024-11-01Get full text
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The novel Vogel's approximation method integrated with a random forest algorithm in the vibration analysis of a two-directional functionally graded taper porous beam: Assessment
Published 2024-12-01“…The research employs a novel approach that merges Vogel's approximation technique with the Random Forest algorithm, an approach that has not been used in analyzing structural vibrations, establish boundary conditions and solve equations of motion. …”
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The Application of Genetic Algorithm in Seismic Performance Optimization of a Y-Eccentrically Braced Composite Frame
Published 2025-02-01“…An efficient fiber beam–spring element model, which considers the spatial composite effect of the RC slab, was proposed and used to simulate the research objects. …”
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Enhanced data-driven shear strength predictive modeling framework for RCDBs using explainable boosting-based ensemble learning algorithms coupled with Bayesian optimization
Published 2025-09-01“…Despite over 70 years of investigation into the behavior of reinforced concrete deep beams (RCDBs), it remains challenging to accurately predict their shear strength (SS) due to the underlying intricate mechanism. …”
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Flexible beam scheduling and resource allocation strategies for satellite Internet of things
Published 2025-03-01“…The beam scheduling algorithm based on separated swarm optimization (SSO-BSA) was proposed to solve the flexible beam pointing coordinates, and an on-demand resource allocation algorithm based on service value degree (ORAA-SVD) was designed to provide flexible resource allocation for beams and IoT terminals. …”
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Dual-GRU Perception Accumulation Model for Linear Beam Smoke Detector
Published 2025-06-01Get full text
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Fault detection in beam structure using adaptive immune based approach
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Beam-space MIMO-NOMA Technique for mm-Wave Communication Systems
Published 2024-04-01“…In this research, the Spectral Efficiency of a proposed Non-Orthogonal beam space-MIMO has been considered. …”
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Multi-satellite cooperative beam hopping resource allocation based on interference perception
Published 2023-08-01“…Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite, however, the actual LEO system is covered by multiple satellites in multiple orbits, and existing research ignores beam interference between satellites, which can easily lead to a decrease in system throughput and service quality.To address these issues, this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH), aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite, the BSS of the MSIC-SAA algorithm has been improved by 47.24%, the average signal to interference noise ratio (SINR) has been improved by 27.40%, and the system throughput has been improved by 22.92%.…”
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A Large Aperture UWB Antenna Array for Real Beam Radar Imaging
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Enhancing shear strength predictions of UHPC beams through hybrid machine learning approaches
Published 2025-08-01“…This study proposes hybrid ML models that integrate three nature inspired metaheuristic algorithms—Giant Armadillo Optimization (GOA), Spotted Hyena Optimization (SHO) and Leopard seal optimization (LSA)- Extreme Gradient Boosting (XGB) to predict the shear strength of UHPC beams. …”
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Enhanced defect sensing technology in turbid water environments using multi-beam sonar
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Predicting shear capacity of Recycled Aggregate Concrete beams using Artificial Neural Network
Published 2024-12-01“…This study investigates the application of an Artificial Neural Network (ANNs) utilizing a Multi-Layer Perceptron (MLP) architecture to predict the shear capacity of Recycled Aggregate Concrete (RAC) beams. The ANNs model was trained using the Levenberg-Marquardt algorithm with a comprehensive dataset comprising 232 experimental shear tests, reflecting a wide range of variables relevant to RAC beam performance. …”
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Damage Detection in Beam Structures Based on Frequency-Domain Analysis Methods for Nonlinear Systems
Published 2025-05-01“…Finally, experimental research was carried out on simply supported beams with varying degrees of damage. …”
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A non-linear procedure for the numerical analysis of crack development in beams failing in shear
Published 2015-12-01“…In more details, a constitutive model originally proposed by Ottosen and based on non-linear elasticity has been here incorporated into 2D-PARC in order to improve the numerical efficiency of the adopted algorithm, providing at the same time an accurate prediction of the structural response. …”
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