Zobrazeno 1 - 7
of 7
pro vyhledávání: '"K. S., Deepthi"'
Autor:
K. S., Deepthi1 dipthiks@gmail.com, M. V., Chacko1 chackovm@gmail.com
Publikováno v:
Reliability: Theory & Applications. Mar2021, Vol. 16 Issue 1, p109-116. 8p.
Autor:
V. M. Chacko, K. S. Deepthi
Publikováno v:
Advances and Applications in Statistics. 65:69-88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3deefb0348de094dd97d54e0c4aed737
https://doi.org/10.17654/as065010069
https://doi.org/10.17654/as065010069
Publikováno v:
Reliability: Theory & Applications. Dec2018, Vol. 13 Issue 4, p9-20. 12p.
Detecting and Correcting the Degradations of Sensors on Argo Floats Using Artificial Neural Networks
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811032257
Argo floats are autonomous floats designed to measure temperature and salinity of the world oceans. Once deployed these floats goes to as deep as 2000 m and while coming up measure temperature and salinity of the underlying ocean automatically. These
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af2ac70220f132b7dc4e9df821ffb36b
https://doi.org/10.1007/978-981-10-3226-4_30
https://doi.org/10.1007/978-981-10-3226-4_30
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319137308
In recent times owing to the magnitude of data present digitally across networks over a wide range of databases the need for text summarization has never been higher. The following paper deals with summarization of text derived from the syntactic and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa680df1f9b03d3613b7f5b8108431e3
https://doi.org/10.1007/978-3-319-13731-5_58
https://doi.org/10.1007/978-3-319-13731-5_58
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319137278
The research area identification is a challenging issue to solve as there lakhs of millions of research papers available, it is required to classify the papers based on primary and secondary areas. The existing text mining techniques classifies resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b470d0e9489bc31eacccfcc98d57ed1
https://doi.org/10.1007/978-3-319-13728-5_17
https://doi.org/10.1007/978-3-319-13728-5_17
Publikováno v:
Reliability: Theory & Applications; Sep2017, Vol. 12 Issue 3, p38-43, 6p