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Titlebook: Intelligent Systems Design and Applications; 21st International C Ajith Abraham,Niketa Gandhi,Weiping Ding Conference proceedings 2022 The

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Zahoor Ahmad,Md. Junayed Hasan,Jong-Myon Kimnised as being of increasing technological significance. Topics discussed include isometric embeddings in differential geometry and the relation with microstructure in nonlinear elasticity, the use of manifolds in the description of microstructure in continuum mechanics, experimental measurement of
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Zahoor Ahmad,Md Junayed Hasan,Jong-Myon Kimnised as being of increasing technological significance. Topics discussed include isometric embeddings in differential geometry and the relation with microstructure in nonlinear elasticity, the use of manifolds in the description of microstructure in continuum mechanics, experimental measurement of
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Leandro Costa,António Nestor Ribeironised as being of increasing technological significance. Topics discussed include isometric embeddings in differential geometry and the relation with microstructure in nonlinear elasticity, the use of manifolds in the description of microstructure in continuum mechanics, experimental measurement of
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Open-Ended Automatic Programming Through Combinatorial Evolution,echnical objects such as electronic circuits. Intriguingly, this seems to be an ongoing and thus open-ended process creating novelty with increasing complexity. Here, we employ combinatorial evolution in software development. While current approaches such as genetic programming are efficient in solv
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,Deep Face Mask Detection: Prevention and Mitigation of COVID-19,ively reducing its spread, the use of face masks has become ubiquitous. Indeed, several countries enforced compulsory face mask policies in public areas. Therefore, it is important to provide automatic solutions for masked/not-masked faces detection. In this work, we proposed a face mask detection m
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Maintaining Scalability in Blockchain,nderpins these digital currencies, has drawn considerable interest from the academic community and the business community, including on Twitter. Aside from security and privacy, the blockchain has several other advantages. The average time it takes for a transaction to be validated and stored in eac
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Batch Normalization and Dropout Regularization in Training Deep Neural Networks with Label Noise,neural networks popularity. Unfortunately, such data can suffer from label noise, introduced by incorrectly labelled patterns. Since neural networks, as data-driven approaches, are strongly dependent on the quality of training data, the results of building deep neural structures with noisy examples
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