Výsledky vyhledávání - "Sarthak Mishra"

Akademický článek

Interplay of Data in Digital Economy and Merger Control Regime: A Conundrum without Solutions

Publikováno v: Revista de Direito, Estado e Telecomunicações, Vol 14, Iss 2, Pp 17-37 (2022)

applicability of existing competition law framework to the growing platform economies and the resultant implications of personal data being collected by such entities. [Methodology/approach/design] The present research is doctrinal in nature and the

Externí odkaz: https://doaj.org/article/f40efcc4a082472dbcdb37ed6a4e6b6d

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Akademický článek

Isolation and chemical characterization of the biosurfactant produced by Gordonia sp. IITR100

Autor: Arif Nissar Zargar, Sarthak Mishra, Manoj Kumar, Preeti Srivastava

Publikováno v: PLoS ONE, Vol 17, Iss 4 (2022)

Biosurfactants are amphipathic molecules produced from microorganisms. There are relatively few species known where the detailed chemical characterization of biosurfactant has been reported. Here, we report isolation and chemical characterization of

Externí odkaz: https://doaj.org/article/551f9aeaa31d4b06a21ecbdd0826ff01

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Akademický článek

iSignDB: A database for smartphone signature biometrics

Autor: Suraiya Jabin, Sumaiya Ahmad, Sarthak Mishra, Farhana Javed Zareen

Publikováno v: Data in Brief, Vol 33, Iss , Pp 106597- (2020)

The signature has long been in use for the user verification. These signatures have user specific features that differentiate the individual for authentication. The signature verification can be offline or online. The offline verification considers o

Externí odkaz: https://doaj.org/article/3ba5857ee2644bf5937a099855eb6b73

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AI-based Dynamic web server for real-time classification of raw genome sequences of ESKAPEE pathogens

Autor: Harpreet Singh, Punit Kaur, Pulkit Singh, Arzoo Khan, Krishna Mohan Tiwari, Divyanshu Srivastava, Sumaiya Ahmad, Suraiya Jabin, Priyanka Sharma, Sarthak Mishra

It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India. "Dynamic Web Server for ESKAPEE Pathogen classification" is the deployment of a robust machine learning model which accepts raw clinical sequences i.e. SRA data in the fast/fq for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f5b0b33d5377398ecab0cb251f06321
https://doi.org/10.36227/techrxiv.21675053.v2

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