Zobrazeno 1 - 10
of 162
pro vyhledávání: '"K Pradeepa"'
Autor:
Suganya, S.1 suganyas@psgcas.ac.in, Veerakumari, K. Pradeepa1 pradeepaveerakumari@buc.edu.in
Publikováno v:
Reliability: Theory & Applications. Mar2024, Vol. 19 Issue 1, p183-190. 16p.
Autor:
A. Thiruneelakandan, Gaganpreet Kaur, Geetha Vadnala, N. Bharathiraja, K. Pradeepa, Mervin Retnadhas
Publikováno v:
Measurement: Sensors, Vol 24, Iss , Pp 100589- (2022)
The development and commercial use of virtualized sensing (smooth) in the manufacturing of Polyethylene Terephthalate (PET) and sewage treatment are both covered in this paper. The major purpose of using based on an input Artificial Neural Network (A
Externí odkaz:
https://doaj.org/article/39f401892b934d12ae263b226ac1755e
Autor:
Umamaheswari, P.1 uma_m2485@yahoo.com, Veerakumari, K. Pradeepa2 pradeepaveerakumari@buc.ac.in, Suganya, S.3 suganstat@gmail.com
Publikováno v:
Reliability: Theory & Applications. Mar2023, Vol. 18 Issue 1, p432-439. 8p.
Autor:
Umamaheswari, P.1 uma_m2485@yahoo.com, Veerakumari, K. Pradeepa2 pradeepaveerakumari@buc.ac.in, Suganya, S.3 suganstat@gmail.com
Publikováno v:
Reliability: Theory & Applications. Dec2022, Vol. 17 Issue 4, p123-131. 9p.
Autor:
Suganya, S.1 suganstat@gmail.com, Veerakumari, K. Pradeepa2 pradeepaveerakumari@buc.ac.in
Publikováno v:
Reliability: Theory & Applications. Sep2022, Vol. 17 Issue 3, p97-107. 11p.
Publikováno v:
Indian Journal of Natural Products & Resources. Jun2022, Vol. 13 Issue 2, p156-162. 7p.
Publikováno v:
Indian Journal of Natural Products & Resources. Jun2022, Vol. 13 Issue 2, p206-212. 7p.
Publikováno v:
Operations Research and Decisions, Vol vol. 29, Iss no. 1, Pp 121-130 (2019)
Acceptance sampling by attributes is a universally used statistical tool for quality control. It is a technique that deals with the decision to accept or reject a batch of goods using defined procedures. An attribute single sampling plan designed und
Externí odkaz:
https://doaj.org/article/cc2acb89e6724fbeb2b2d1744d13ee86
Autor:
Suganya, S.1 suganstat@gmail.com, Veerakumari, K. Pradeepa2 pradeepaveerakumari@buc.ac.in
Publikováno v:
Reliability: Theory & Applications. Mar2022, Vol. 17 Issue 1, p240-250. 11p.
Publikováno v:
Mathematics and Computers in Simulation. 201:564-587
The present study focuses on designing the memory-based sampled data control approach to achieve the desired performance from switched-type of neural networks. The overall contribution of the study can be viewed from two directions. The first part is