League championship optimization for the parameter selection for Mg/WC metal matrix composition

Kumar, R. Praveen; Periyasamy, P.; Rangarajan, S.; Sathish, T.

doi:10.1016/j.matpr.2019.06.646

Cited by 84 publications

(3 citation statements)

References 7 publications

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“…These ROIs are then used to separate highlights for grouping which was finished by Ensembling of Decision Tree and Adaboost. An exchange learning was proposed in [32] , [33] , [34] , [35] , [36] where highlight are removed utilizing pre-prepared CNNs, for example, Xception, Resnet, Inception, Google net and Densenet. The highlights removed were then utilized for grouping utilizing support vector machine (SVM).…”

Section: Literature Surveymentioning

confidence: 99%

WITHDRAWN: Convolutional neural network use chest radiography images for identification of COVID-19

Murali¹,

Bhuvaneswari²,

Parvathi

et al. 2020

Materials Today: Proceedings

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The epic Covid sickness 2019 (COVID-19) has turned into the significant danger to humankind in year 2020. The pandemic COVID-19 flare-up has influenced more than 2.7 million individuals and caused around 187 thousand fatalities worldwide [1] inside scarcely any months of its first appearance in Wuhan city of China and the number is developing quickly in various pieces of world. As researcher everywhere on the world are battling to discover the fix and treatment for COVID-19, the urgent advance fighting against COVID-19 is the screening of immense number of associated cases for disconnection and isolate with the patients. One of the key methodologies in screening of COVID-19 can be chest radiological imaging. The early investigations on the patients influenced by COVID-19 shows the attributes variations from the norm in chest radiography pictures. This introduced a chance to utilize distinctive counterfeit clever (AI) frameworks dependent on profound picking up utilizing chest radiology pictures for the recognition of COVID-19 and numerous such framework were proposed indicating promising outcomes. In this paper, we proposed a profound learning based convolution neural organization to characterize COVID-19, Pneumonia and Normal cases from chest radiology pictures. The proposed convolution neural organization (CNN) grouping model had the option to accomplish exactness of 94.85% on test dataset. The trial was completed utilizing the subset of information accessible in GitHub and Kaggle.

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Section: Literature Surveymentioning

confidence: 99%

WITHDRAWN: Convolutional neural network use chest radiography images for identification of COVID-19

Murali¹,

Bhuvaneswari²,

Parvathi

et al. 2020

Materials Today: Proceedings

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“…Karuppusamy et al [71] studied the impact of treated WC on the wear properties of magnesium alloys by multi-level factor design. Kumar et al [72] proposed a league championship optimization (LCO) technique to select the composition parameters of the Mg-WC metal matrix.…”

Section: Tungsten Carbide (Wc)mentioning

confidence: 99%

Nano-Enhanced Phase Reinforced Magnesium Matrix Composites: A Review of the Matrix, Reinforcement, Interface Design, Properties and Potential Applications

Ren,

Ji,

Guo

et al. 2024

Materials

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Magnesium matrix composites are essential lightweight metal matrix composites, following aluminum matrix composites, with outstanding application prospects in automotive, aerospace lightweight and biomedical materials because of their high specific strength, low density and specific stiffness, good casting performance and rich resources. However, the inherent low plasticity and poor fatigue resistance of magnesium hamper its further application to a certain extent. Many researchers have tried many strengthening methods to improve the properties of magnesium alloys, while the relationship between wear resistance and plasticity still needs to be further improved. The nanoparticles added exhibit a good strengthening effect, especially the ceramic nanoparticles. Nanoparticle-reinforced magnesium matrix composites not only exhibit a high impact toughness, but also maintain the high strength and wear resistance of ceramic materials, effectively balancing the restriction between the strength and toughness. Therefore, this work aims to provide a review of the state of the art of research on the matrix, reinforcement, design, properties and potential applications of nano-reinforced phase-reinforced magnesium matrix composites (especially ceramic nanoparticle-reinforced ones). The conventional and potential matrices for the fabrication of magnesium matrix composites are introduced. The classification and influence of ceramic reinforcements are assessed, and the factors influencing interface bonding strength between reinforcements and matrix, regulation and design, performance and application are analyzed. Finally, the scope of future research in this field is discussed.

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“…Metal Matrix Composites (MMC) are mostly used in the industries for the purpose of enhancing strength and other mechanical properties. Kumar et al [59] in their research work on metal matrix composition (MMC) selected optimum manufacturing parameters utilizing League Championship Optimization (LCA) algorithm. They were designing MMC utilizing magnesium alloy and tungsten carbide.…”

Section: League Championship Algorithmmentioning

confidence: 99%

Applicability and Efficiency of Socio-Cultural Inspired Algorithms in Optimizing Mechanical Systems – A Critical Review

Patel¹,

Kakandikar²,

Kulkarni³

2020

RCES

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In the recent years' optimization algorithms are used in many real-life applications to get the best out of everything. There are many types of optimization algorithm such as Nature inspired algorithm, Bio-Inspired algorithm which also have their applications. This paper aims to presents different category of algorithms and their applications, which are inspired by the social behavior of humans in groups termed as family. These algorithms are widely appreciated by researchers from various domains for optimization. The performance of social algorithm (SA) to discover the global optimum solution for the constrained, unconstrained and multi-objective optimization problems is sound. This paper extensively reviews and presents the applicability and also efficiency of the socio-inspired algorithm in solving real life problems in the field of mechanical engineering mechanical engineering problems.

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League championship optimization for the parameter selection for Mg/WC metal matrix composition

Cited by 84 publications

References 7 publications

WITHDRAWN: Convolutional neural network use chest radiography images for identification of COVID-19

WITHDRAWN: Convolutional neural network use chest radiography images for identification of COVID-19

Nano-Enhanced Phase Reinforced Magnesium Matrix Composites: A Review of the Matrix, Reinforcement, Interface Design, Properties and Potential Applications

Applicability and Efficiency of Socio-Cultural Inspired Algorithms in Optimizing Mechanical Systems – A Critical Review

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