Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Sitendra Tamrakar"'
Publikováno v:
Handbook of Intelligent Computing and Optimization for Sustainable Development. :287-304
Publikováno v:
Computational Intelligence in Medical Decision Making and Diagnosis ISBN: 9781003309451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a92acccabcc704e2d7aab8863839b64
https://doi.org/10.1201/9781003309451-14
https://doi.org/10.1201/9781003309451-14
Autor:
Rajeev Sharma, Sitendra Tamrakar
Publikováno v:
International Journal of Engineering and Advanced Technology. 9:896-902
A new application called DM Educational Data Mining (EDM) involves data extraction and analysis from the classroom or area of education. In order for educators to deliver quality education to students, EDM integrates various educational information i
Publikováno v:
Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks ISBN: 9781003206453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d66d5933049a1cdbb08a6d2f79bd1e4b
https://doi.org/10.1201/9781003206453-12
https://doi.org/10.1201/9781003206453-12
An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentiall
Publikováno v:
2021 International Conference on Advances in Technology, Management & Education (ICATME).
Computation intelligence (CI) paradigms, including artificial neural networks, fuzzy systems, evolutionary computing techniques, and intelligent agents, form the basis of making clinical decisions. This book explains different aspects of the current
Autor:
Sitendra Tamrakar
Cloud computing solutions have been gaining traction in the commercial world due to their capacity to provide on-demand access to resources, govern the software environment, and augment existing systems. As a result, universities around the world hav
Publikováno v:
Data, Engineering and Applications ISBN: 9789811363504
This paper investigates securing hidden information through quantization. In an idyllic background where the entire model parameters are absolutely known, the chances of MSE (mean square error), PSNR (peak signal-to-noise ratio), and NAE (normalized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea140c9f56197599d4e95dbb3f504282
https://doi.org/10.1007/978-981-13-6351-1_26
https://doi.org/10.1007/978-981-13-6351-1_26