Zobrazeno 1 - 10
of 49
pro vyhledávání: '"A.P. Siva Kumar"'
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101130- (2024)
The IoT (Internet of Things) has been rapidly growing to make a stronger influence on huge industrial systems. Since cybercriminals have made IoT a target for harmful operations such as botnets, an attack on the end nodes is now a possibility. Protec
Externí odkaz:
https://doaj.org/article/fe79a7f11c194dbcbbfde1611236035d
Publikováno v:
Theoretical Computer Science. 941:39-54
Publikováno v:
International Journal on Recent and Innovation Trends in Computing and Communication. 10:78-90
Botnet assaults on IoT systems have become a big issue, and several strategies for botnet protection have been investigated by the academic and industry communities. While many of these methods are practical and effective for botnet attack prevention
Publikováno v:
Concurrency and Computation: Practice and Experience. 35
Autor:
Bandi Sravani Reddy, A.P. Siva Kumar
Publikováno v:
2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS).
Autor:
Kasi Lohitha Reddy, A.P. Siva Kumar
Publikováno v:
2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS).
Autor:
Sk.Wasim Akram, A.P. Siva Kumar
Publikováno v:
2023 International Conference on Artificial Intelligence and Smart Communication (AISC).
Autor:
Yalanati Ayyappa, A.P Siva Kumar
Publikováno v:
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA).
Publikováno v:
Global Transitions Proceedings. 2:128-132
Arbitrary projection is a well-known AI calculation, which can be executed by neural organizations and prepared in an exceptionally productive way. Notwithstanding, the quantity of highlights should be huge enough when applied to a fairly enormous sc
Publikováno v:
Global Transitions Proceedings. 2:111-116
An extreme learning machine is a feed-forward neural network is a feature learning method used in image classification efficiently because of the faster learning rate, speed, good generalization ability, ease of implementation, and efficiency in clas