Zobrazeno 1 - 10
of 15
pro vyhledávání: '"SWEETY SINGH"'
Autor:
Susan Fallon, Umang Agrawal, Shaoli Basu, Valeria Fabre, Sarah Fisseha, Johns Hopkins Hospital, Arjunlal Kakrani, Rajesh Karyakarte, Mahadevan Kumar, Abhijeet Mane, Vidya Mave, Yatin Mehta, SHAHZAD MIRZA, Akaash Patel, Bharat Randive, Prachala Rathod, Matthew Robinson, Camilla Rodrigues, Smita Sarma, Jignesh Shah, Patricia Simner, SWEETY SINGH, Melanie Curless
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology, Vol 4, Pp s104-s105 (2024)
Background: The 2022 WHO global survey on infection prevention and control (IPC) exposes significant gaps in IPC in the WHO Southeast Asia region. A better understanding of IPC vulnerabilities will inform improvement initiatives. We describe an evalu
Externí odkaz:
https://doaj.org/article/aaba703b819e4db9840959585d110e7a
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 17, Iss 7, Pp 05-09 (2023)
Introduction: Coronavirus Disease-2019 (COVID-19) in pregnancy was thought to be associated with an increased risk of stillbirth, Intrauterine Growth Restriction (IUGR), and preterm birth. The current study was undertaken to assess the burden of S
Externí odkaz:
https://doaj.org/article/a8a985437fa34ead818e34716f67eef2
Autor:
Sweety Singh, Atul Goel
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 12, Iss 9, Pp 2020-2023 (2023)
Aims: Pulmonary embolism (PE) is the most severe complication of deep venous thrombosis (DVT). This study was designed to evaluate the usefulness of modified Wells score combined with age-adjusted D-dimer cut-off levels as a clinical pre-test probabi
Externí odkaz:
https://doaj.org/article/3f62b12fc6804980967d3d03f0e74c9d
Autor:
Hao-Jung Chang, Mykhailo V. Bondar, Taihong Liu, Xinglei Liu, Sweety Singh, Kevin D. Belfield, Andrew Sheely, Artëm E. Masunov, David J. Hagan, Eric W. Van Stryland
Publikováno v:
ACS Omega, Vol 4, Iss 12, Pp 14669-14679 (2019)
Externí odkaz:
https://doaj.org/article/54623622fd734268b4ce7dd247c53613
Publikováno v:
International Journal of Information Security. 22:1-27
Publikováno v:
Cureus.
Publikováno v:
Innovations in Bio-Inspired Computing and Applications ISBN: 9783031274985
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43c2782a548e8b6b5c9b59ae06a99b04
https://doi.org/10.1007/978-3-031-27499-2_21
https://doi.org/10.1007/978-3-031-27499-2_21
The key objective of intrusion detection systems (IDS) is to protect the particular host or network by investigating and predicting the network traffic as an attack or normal. These IDS uses many methods of machine learning (ML) to learn from past-ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ed1dfaa67999c466110f1f278f59c33
https://doi.org/10.21203/rs.3.rs-1263595/v1
https://doi.org/10.21203/rs.3.rs-1263595/v1
Publikováno v:
Indian Journal of Computer Science. 7:16
Autor:
Subhasish Banerjee, Sweety Singh
Publikováno v:
2020 International Conference on Communication and Signal Processing (ICCSP).
Network Anomaly Detection Systems (NADS) has a great importance in Network Defense System for detecting potential or critical threats. Numerous Organization have actualized, Intrusion Detection System (IDS) as a security segment, and introduced the v