Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Mishra, Sudhanshu"'
Autor:
Webber, James W., Wollborn, Laura, Mishra, Sudhanshu, Vitonis, Allison F., Cramer, Daniel W., Phan, Ryan T., Pappas, Todd C., Stawiski, Konrad, Fendler, Wojciech, Chowdhury, Dipanjan, Elias, Kevin M.
Publikováno v:
In Gynecologic Oncology November 2024 190:124-130
Advances in bioinspired nanomaterials managing microbial biofilms and virulence: A critical analysis
Autor:
Mishra, Sudhanshu, Gantayat, Saumyatika, Dhara, Chandrajeet, Bhatt, Ayush, Singh, Monika, Vijayakumar, Sekar, Rajput, Minakshi
Publikováno v:
In Microbial Pathogenesis August 2024 193
Hate Speech has become a major content moderation issue for online social media platforms. Given the volume and velocity of online content production, it is impossible to manually moderate hate speech related content on any platform. In this paper we
Externí odkaz:
http://arxiv.org/abs/2101.11155
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
Autor:
Goswamy, Tushar, Parmar, Naishadh, Gupta, Ayush, Shah, Raunak, Tandon, Vatsalya, Goyal, Varun, Gupta, Sanyog, Laud, Karishma, Gupta, Shivam, Mishra, Sudhanshu, Modi, Ashutosh
This research paper proposes a COVID-19 monitoring and response system to identify the surge in the volume of patients at hospitals and shortage of critical equipment like ventilators in South-east Asian countries, to understand the burden on health
Externí odkaz:
http://arxiv.org/abs/2007.15619
Akademický článek
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Autor:
Mishra, Sudhanshu Nath.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 129-131).
Deep learning models hav
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 129-131).
Deep learning models hav
Externí odkaz:
https://hdl.handle.net/1721.1/121599
Publikováno v:
In Environmental Technology & Innovation August 2023 31
Publikováno v:
Cognitive Computation, vol. 10, number 6, 1085-1095 (2018)
Many optimization problems in science and engineering are highly nonlinear, and thus require sophisticated optimization techniques to solve. Traditional techniques such as gradient-based algorithms are mostly local search methods, and often struggle
Externí odkaz:
http://arxiv.org/abs/1903.11446
Autor:
Ahmad, Sumaiya, Mishra, Sudhanshu
Publikováno v:
In Clinical Epidemiology and Global Health May-June 2022 15