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Kuldeep Singh

Researcher at Punjab Agricultural University

Publications -  571
Citations -  15095

Kuldeep Singh is an academic researcher from Punjab Agricultural University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 51, co-authored 431 publications receiving 11815 citations. Previous affiliations of Kuldeep Singh include Malaviya National Institute of Technology, Jaipur & Lyallpur Khalsa College.

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Shifting the limits in wheat research and breeding using a fully annotated reference genome

Rudi Appels, +207 more
- 17 Aug 2018 - 
TL;DR: This annotated reference sequence of wheat is a resource that can now drive disruptive innovation in wheat improvement, as this community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
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A chromosome-based draft sequence of the hexaploid bread wheat (Triticum aestivum) genome

Klaus F. X. Mayer, +95 more
- 18 Jul 2014 - 
TL;DR: Insight into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide.
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Nanostructured graphene/Fe3O4 incorporated polyaniline as a high performance shield against electromagnetic pollution

TL;DR: Spectroscopic analysis demonstrates that the presence of GF hybrid structures facilitates strong polarization due to the formation of a solid-state charge-transfer complex between graphene and polyaniline, which leads to the high microwave absorption properties.
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Microwave absorption behavior of core-shell structured poly (3,4-ethylenedioxy thiophene)-barium ferrite nanocomposites.

TL;DR: The present paper reports the complex permittivity, permeability, and microwave absorption properties of core shell type poly (3,4-ethylenedioxy thiophene) (PEDOT) nanocomposite with barium ferrite, synthesized by in situ emulsion polymerization, in the 12.4-18 GHz frequency range.
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Image enhancement using Exposure based Sub Image Histogram Equalization

TL;DR: The simulation results show that ESIHE outperforms other conventional Histogram Equalization (HE) methods in terms of image visual quality, entropy preservation and better contrast enhancement.