S
Sudip Dey
Researcher at National Institute of Technology, Silchar
Publications - 179
Citations - 2642
Sudip Dey is an academic researcher from National Institute of Technology, Silchar. The author has contributed to research in topics: Finite element method & Monte Carlo method. The author has an hindex of 28, co-authored 155 publications receiving 1956 citations. Previous affiliations of Sudip Dey include North Eastern Hill University & Leibniz Institute for Neurobiology.
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Journal Article
Experimental infection of pigs with group A rotavirus and enterotoxigenic Escherichia coli in India: gross, histopathological and immunopathological study.
TL;DR: Rotavirus infection of young piglets in association with ETEC was more severe than rotav virus infection alone, and resulted in marked clinico-pathological and immunological alterations in the infected piglets.
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Impact response of functionally graded conical shells
TL;DR: In this paper, the authors present low velocity impact response of functionally graded pretwisted conical shells with the modified Hertzian contact law which accounts for permanent indentation is utilized to compute the contact force and other impact parameter.
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Microscopy and microanalysis of hematological parameters in common carp, Cyprinus carpio, inhabiting a polluted lake in North East India.
TL;DR: Significance of the study in relation to fish health in a polluted body of water and the importance of SEM, EDS, and light microscopy in utilizing hematological parameters as pollution indicators are discussed.
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Scanning electron microscopic studies of the external morphology of sensilla on the legs of a butterfly, Graphium sarpedon (Lepidoptera—Papillionidae)
TL;DR: Scanning electron microscopy of the legs of the butterfly, Graphium sarpedon, reveals structural features, specialization in position, and directional function of some sensilla which appear to be essential for the insect to gather information about its micro environment.
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Stochastic impact responses analysis of functionally graded plates
TL;DR: In this paper, a multivariate adaptive regression splines (MARS) surrogate model in conjunction with finite element (FE) approach is employed to map the effect of elemental variabilities on global response of the structure.