Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Reshmi Mitra"'
Publikováno v:
IoT, Vol 4, Iss 2, Pp 131-149 (2023)
Cloud-computing capabilities have revolutionized the remote processing of exploding volumes of healthcare data. However, cloud-based analytics capabilities are saddled with a lack of context-awareness and unnecessary access latency issues as data are
Externí odkaz:
https://doaj.org/article/fb0f356b68d64860bfb1418c3e9c7dee
Autor:
Reshmi Mitra, Alper Konuk
Publikováno v:
2023 34th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC).
Publikováno v:
2023 International Conference on Computing, Networking and Communications (ICNC).
Publikováno v:
EPiC Series in Computing.
Because peer-to-peer networks are inherently insecure, they provide a special chal- lenge in terms of network security. In this study, we have considered a recently described non-DHT-based 2-level structured P2P network. It is an architecture built o
Autor:
Blake Bleem, Jordan Renaud, Thi T Tuyen Nguyen, Srija Bandyopadhayay, Asit Bandyopadhayay, Reshmi Mitra
Publikováno v:
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
Publikováno v:
Future Generation Computer Systems. 100:281-297
Emerging interdisciplinary data-intensive science gateway applications in engineering fields (e.g., bioinformatics, cybermanufacturing) demand the use of high-performance computing resources. However, to mitigate operational costs and management effo
Publikováno v:
CCNC
Edge nodes are crucial for detection against multitudes of cyber attacks on Internet-of-Things endpoints and is set to become part of a multi-billion industry. The resource constraints in this novel network infrastructure tier constricts the deployme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5fc804777a222191d3ec6edd3a82d74
Publikováno v:
AIPR
Despite the high quality performance of the deep neural network in real-world applications, they are susceptible to minor perturbations of adversarial attacks. This is mostly undetectable to human vision. The impact of such attacks has become extreme
Autor:
Alper Konuk, Reshmi Mitra
Publikováno v:
2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC).
This paper reports the analytical methods used to detect the composition of residue on back-side of wafer. Further it discusses impact of this back-side residue on front-side of wafer flatness and how this residue was reduced by a new developed clean
Publikováno v:
CCNC
Social Virtual Reality Learning Environment (VRLE) is a novel edge computing platform for collaboration amongst distributed users. Given that VRLEs are used for critical applications (e.g., special education, public safety training), it is important