Zobrazeno 1 - 10
of 18
pro vyhledávání: '"K. R. Bindu"'
Publikováno v:
In AEUE - International Journal of Electronics and Communications September 2020 124
Publikováno v:
Journal of Materials Science: Materials in Electronics. 33:17793-17801
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec5007a2e6835f1c12dc32e64f58d91c
https://doi.org/10.1007/s10854-022-08644-5
https://doi.org/10.1007/s10854-022-08644-5
Publikováno v:
Monthly Notices of the Royal Astronomical Society: Letters. 515:L61-L66
We present ‘first of its kind’ measurements of the enhanced integrated electron density profiles (iEDPs) at the lunar wake and trans-terminator regions using radio occultation (RO) experiments conducted with the dual frequency radio science (DFRS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28614510b232253138d17985eaf9d83d
https://doi.org/10.1093/mnrasl/slac058
https://doi.org/10.1093/mnrasl/slac058
Autor:
Nikhil Menon, K. R. Bindu
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811949593
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::982003914259cc2c44d0251ec0f9df9a
https://doi.org/10.1007/978-981-19-4960-9_24
https://doi.org/10.1007/978-981-19-4960-9_24
Autor:
Raakheshsubhash Arumuga Rajan, Harsha Vardhini Vasu, K. R. Bindu, Keerthanna Govindarajan Santhakumar, Preetham Ganesh
Publikováno v:
New Trends in Computational Vision and Bio-inspired Computing ISBN: 9783030418618
Machine Learning and Data Mining have been used extensively in the field of medical science. Approximately 2% of the world population, i.e., 3.9 million people are infected by Hepatitis C. This paper is an investigative study on the comparison of cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d9ae18de0b694021173b8db91593075
https://doi.org/10.1007/978-3-030-41862-5_48
https://doi.org/10.1007/978-3-030-41862-5_48
Publikováno v:
2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA).
Topic modeling is a set of algorithms which is used to mine the data that is hidden inside a large collection of documents. In this paper we discusses about the Correlated topic modeling and dynamic topic modeling in detail and comparing their perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b3f635c30c84c49db7d9fb7570a357
https://doi.org/10.1109/iceca.2019.8822023
https://doi.org/10.1109/iceca.2019.8822023
Autor:
B R Amrutha, K R Bindu
Publikováno v:
2019 International Conference on Intelligent Computing and Control Systems (ICCS).
One of the major problems, apparent in online social media, is the toxic online content. This has continued unabated, as people from diverse cultural backgrounds access the Internet, concealing their identity under the cloud of anonymity. Deep neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe9e0e1bba953d2614580751595333ac
https://doi.org/10.1109/iccs45141.2019.9065763
https://doi.org/10.1109/iccs45141.2019.9065763
Autor:
Archana M. Nair, K. R. Bindu
Publikováno v:
Journal of Physics: Conference Series. 1767:012024
Semantic role labelling plays a major role in determining the main predicate and related arguments and its relationship to the predicate. These arguments identify the semantic roles in a sentence such as agent, goal, result, etc. Many approaches have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2e02fe7c47e1aa0e14c713f65900d3f
https://doi.org/10.1088/1742-6596/1767/1/012024
https://doi.org/10.1088/1742-6596/1767/1/012024
Autor:
Devadas Shenoy, Chandrakanta Kumar, Tarun Kumar Pant, M. Shajahan, K. M. Ambili, Kumar Harshit, Rahul Karkara, T. K. Rajendran, N. Hemanth Kumar Reddy, K. R. Bindu, M. Nazer, R. K. Choudhary
Publikováno v:
Current Science. 118:210
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83bf9f7e046a21f8c70df462554814ad
https://doi.org/10.18520/cs/v118/i2/210-218
https://doi.org/10.18520/cs/v118/i2/210-218
Publikováno v:
Computational Vision and Bio Inspired Computing ISBN: 9783319717661
Neural networks have become increasingly popular for the task of language modeling. Whereas feed-forward networks only exploit a fixed context length to predict the next word of a sequence, conceptually, standard recurrent neural networks can take in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e73a756c9485373abd6ae725426c97
https://doi.org/10.1007/978-3-319-71767-8_15
https://doi.org/10.1007/978-3-319-71767-8_15