Zobrazeno 1 - 10
of 90
pro vyhledávání: '"C. Vasanthanayaki"'
Autor:
M. Jamuna Rani, C. Vasanthanayaki
Publikováno v:
Computer Systems Science and Engineering. 45:1953-1970
Autor:
D. Manibharathi, C. Vasanthanayaki
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence.
Publikováno v:
2023 4th International Conference on Signal Processing and Communication (ICSPC).
Publikováno v:
Earth Science Informatics. 15:553-561
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:7219-7230
In the modern applications there are lot of computing resources starting from Central Processing Units, Networks on Chips to Field Programmable Gate Arrays, each catering various types of operations. These factors motivate this research, to exploit 1
Autor:
C. Vasanthanayaki, S. Jayanthi Sree
Publikováno v:
Advances in Mathematics: Scientific Journal. 9:8293-8301
Autor:
R. Jothin, C. Vasanthanayaki
Publikováno v:
Journal of Signal Processing Systems. 92:693-703
This research proposes a high-performance Carry Select Approximate Full Adder (CSAFA) with one error out of the eight possible output cases for high accuracy 8-bit pixel depth image processing applications. The logic optimization of the proposed CSAF
Autor:
C. Vasanthanayaki, M. Jamuna Rani
Publikováno v:
Computer Communications. 150:317-324
The growing use of wireless sensor network has great deal with the bandwidth utilization. The most network users access the wireless sensor network for many applications. The image search is the one among them which needs to consider many network par
Autor:
C. Vasanthanayaki, N. Ameena Bibi
Publikováno v:
Journal of the Indian Society of Remote Sensing. 48:373-383
Remote sensing images taken under hazy conditions have poor quality of the scene. Therefore, haze removal or dehazing is recommended. Due to the presence of haze, there is a resultant decay in the colour and the contrast of the captured image. Dehazi
Autor:
C. Vasanthanayaki, R. Jothin
Publikováno v:
IETE Journal of Research. 67:205-216
In this paper, we proposed High Performance Error Tolerant Adders (HPETA) which have an efficient design and quality metrics for inexact computing applications. To achieve high performance, Multipl...