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Monika Sethi

Researcher at Institute of Chartered Financial Analysts of India

Publications -  19
Citations -  114

Monika Sethi is an academic researcher from Institute of Chartered Financial Analysts of India. The author has contributed to research in topics: Computer science & Yield (engineering). The author has an hindex of 4, co-authored 10 publications receiving 37 citations.

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Elastoplastic Deformation in an Orthotropic Spherical Shell Subjected to a Temperature Gradient

TL;DR: In this paper, the authors presented the study of elastoplastic deformation in an orthotropic spherical shell subjected to a temperature gradient by using Seth's transition theory, and they used the transition theory to analyze the deformation of the shell.
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An Exploration: Alzheimer's Disease Classification Based on Convolutional Neural Network

TL;DR: This paper explores the current cutting edge applications of CNN on single and multimodality (combination of two or more modalities) neuroimaging data for the classification of AD and examines the effectiveness of classification approaches on AD to analyze different kinds of datasets, neuroim imaging modalities, preprocessing techniques, and data handling methods.
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Elastoplastic deformation in an isotropic material disk with shaft subjected to load and variable density

TL;DR: In this paper, the authors present a study of elastoplastic deformation in an isotropic material disk with shaft subjected to variable density and load using Seth's transition theory.
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Elastic–plastic stresses in a rotating disc of transversely isotropic material fitted with a shaft and subjected to thermal gradient

TL;DR: In this article, the elastic-plastic stresses in a rotating disc of transversely isotropic material fitted with a shaft and subjected to thermal gradient has been analyzed by using Seth's transition theory and generalized strain measure.