Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Sudha Morwal"'
Autor:
Mehul Mahrishi, Sudha Morwal, Abdul Wahab Muzaffar, Surbhi Bhatia, Pankaj Dadheech, Mohammad Khalid Imam Rahmani
Publikováno v:
IEEE Access, Vol 9, Pp 143378-143391 (2021)
The trend of learning from videos instead of documents has increased. There could be hundreds and thousands of videos on a single topic, with varying degrees of context, content, and depth of the topic. The literature claims that learners are nowaday
Externí odkaz:
https://doaj.org/article/9aef2e59a69a47fbb7da0ffe08b97256
Publikováno v:
International Journal of Cognitive Informatics and Natural Intelligence. 15:1-11
This article presents a neural network-based approach to develop named entity recognition for Hindi text. In this paper, the authors propose a deep learning architecture based on convolutional neural network (CNN) and bi-directional long short-term m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e76d757cfc6ff9a91e39b8e4ea675bc
https://doi.org/10.4018/ijcini.20210701.oa1
https://doi.org/10.4018/ijcini.20210701.oa1
Autor:
Abdul Wahab Muzaffar, Pankaj Dadheech, Mohammad Khalid Imam Rahmani, Sudha Morwal, Surbhi Bhatia, Mehul Mahrishi
Publikováno v:
IEEE Access, Vol 9, Pp 143378-143391 (2021)
BASE-Bielefeld Academic Search Engine
BASE-Bielefeld Academic Search Engine
The trend of learning from videos instead of documents has increased. There could be hundreds and thousands of videos on a single topic, with varying degrees of context, content, and depth of the topic. The literature claims that learners are nowaday
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef13a9de3e550eeb1a4fe5219608d22c
https://ieeexplore.ieee.org/document/9559985/
https://ieeexplore.ieee.org/document/9559985/
Publikováno v:
Neural Computing and Applications. 32:16191-16203
The aim of this work is to develop efficient named entity recognition from the given text that in turn improves the performance of the systems that use natural language processing (NLP). The performance of IoT-based devices such as Alexa and Cortana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dc2a7b0dcaa3378347271ea0a4a061e
https://doi.org/10.1007/s00521-020-04881-z
https://doi.org/10.1007/s00521-020-04881-z
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811617393
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51bc43e3b8c10e522ab8a05110903e2f
https://doi.org/10.1007/978-981-16-1740-9_26
https://doi.org/10.1007/978-981-16-1740-9_26
Publikováno v:
Machine Learning for Sustainable Development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2825af63b410e39c520e1e75430c740a
https://doi.org/10.1515/9783110702514-007
https://doi.org/10.1515/9783110702514-007
Publikováno v:
Journal of Discrete Mathematical Sciences and Cryptography. 22:569-580
Named Entity Recognition (NER) is an important task that is used as a pre-processing step in various natural language processing (NLP) applications. It is useful as it mostly increases the ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf390838eef547099e601c649b162869
https://doi.org/10.1080/09720529.2019.1637157
https://doi.org/10.1080/09720529.2019.1637157
Publikováno v:
International Journal of System Assurance Engineering and Management.
For content based indexing of videos, numerous tools and techniques are pipe-lined. The major challenge that these techniques face is the accuracy of index points generated. This paper presents an efficient way to extract text from video frames along
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eb5a895fd7a4d0b5f4a546e7b26397b
https://doi.org/10.1007/s13198-021-01166-z
https://doi.org/10.1007/s13198-021-01166-z
Autor:
Sudha Morwal
Named Entity Recognition (NER) is the subtask of Natural Language Processing (NLP) which is the branch of artificial intelligence. It has many applications mainly in machine translation, text to speech synthesis, natural language understanding, Infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03afe2a3eba2df2ec3ddfa0ec1b67e71
Autor:
Sudha Morwal, Mehul Mahrishi
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811540318
Primarily used for fun and entertainment, videos are now a motivation behind social, commercial, and business activities. It is presumed that by 2025, about 75% of all Internet traffic will be of videos. In education, videos are a source of learning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af627e82c9642f363de2bc6821cb0d9d
https://doi.org/10.1007/978-981-15-4032-5_94
https://doi.org/10.1007/978-981-15-4032-5_94