Crack prediction in beam-like structure using ANN based on frequency analysis
Fracture and Structural Integrity, 2022 The dynamic experimental and numerical analysis of cracked beams has been studied with the aim of quantifying the influence of depth crack on the dynamic response of steel beams. Artificial Neural Method ANN has been used where a numerical simulation was
Seguini Meriem +4 more
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Journal of Hydroinformatics, 2021 River water quality assessment, affected by pollution load, and river regime changes in various climate conditions, is an implementation that simplifies water resources management, and justifies terms for increases or decreases in human activities.
Saman Ebrahimi, Mahdis Khorram
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Building nearest prototype classifiers using a Michigan approach PSO [PDF]
, 2007 IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Cervantes, Alejandro +2 more
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Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin [PDF]
Advances in Engineering and Intelligence SystemsAccurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions.
Reza Seifi Majdar +2 more
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Bi-velocity discrete particle swarm optimization and its application to multicast routing problem in communication networks [PDF]
, 2014 This paper proposes a novel bi-velocity discrete particle swarm optimization (BVDPSO) approach and extends its application to the NP-complete multicast routing problem (MRP).
Chen, Wei-Neng +5 more
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Optimal Placement Identification of Multiple DG Types Using Optimization Technique [PDF]
E3S Web of Conferences, 2023 In this paper, a combination algorithm called GAIPSO, which combines GA and a better version of the classic particle swarm optimization process, is used.
S. Mounika +2 more
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A genomic analysis and transcriptomic atlas of gene expression in Psoroptes ovis reveals feeding- and stage-specific patterns of allergen expression [PDF]
, 2019 Background: Psoroptic mange, caused by infestation with the ectoparasitic mite, Psoroptes ovis, is highly contagious, resulting in intense pruritus and represents a major welfare and economic concern for the livestock industry Worldwide.
Bartley, Kathryn +11 more
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Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression [PDF]
, 2010 We develop a particle swarm optimisation (PSO) aided orthogonal forward regression (OFR) approach for constructing radial basis function (RBF) classifiers with tunable nodes.
Chen, S, Harris, C J, Hong, Xia
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JPEG steganography with particle swarm optimization accelerated by AVX [PDF]
, 2020 Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography.
Bramas B +7 more
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LQR/Sliding Mode Controller Design Using Particle Swarm Optimization for Crane System
مجلة النهرين للعلوم الهندسية, 2020 In this work, the design procedure of a hybrid robust controller for crane system is presented. The proposed hybrid controller combines the linear quadratic regulator (LQR) properties with the sliding mode control (SMC) to obtain an optimal and robust ...
Hazem Ali +3 more
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