Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Vaishali Khairnar"'
Publikováno v:
MethodsX, Vol 13, Iss , Pp 102780- (2024)
In today's world of managing multimedia content, dealing with the amount of CCTV footage poses challenges related to storage, accessibility and efficient navigation. To tackle these issues, we suggest an encompassing technique, for summarizing videos
Externí odkaz:
https://doaj.org/article/a0f9d3b88b3643b2a5876988dee26c1a
Autor:
Vaishali Pawar, Nilima Zade, Deepali Vora, Vaishali Khairnar, Aurenice Oliveira, Ketan Kotecha, Ambarish Kulkarni
Publikováno v:
IEEE Access, Vol 12, Pp 183937-183960 (2024)
In recent years, connected vehicle technologies emerged to provide a safer and more connected environment for transportation systems, which has further evolved into cellular vehicle-to-everything (C-V2X) technology. The current study contributes in t
Externí odkaz:
https://doaj.org/article/6bb7b58d32ed4f1d8ecf7c18acfa395d
Autor:
Dakshata Argade, Vaishali Khairnar, Deepali Vora, Shruti Patil, Ketan Kotecha, Sultan Alfarhood
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26162- (2024)
In recent decades, abstractive text summarization using multimodal input has attracted many researchers due to the capability of gathering information from various sources to create a concise summary. However, the existing methodologies based on mult
Externí odkaz:
https://doaj.org/article/4f567a35b62640baa8480919c1f947ab
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 3 (2022)
This work aims to provide a novel multimodal sarcasm detection model that includes four stages: pre-processing, feature extraction, feature level fusion, and classification. The pre-processing uses multimodal data that includes text, video, and audio
Externí odkaz:
https://doaj.org/article/645d125cd81e44bc90b8587702822866
The authors have requested that this preprint be removed from Research Square.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0176a88c43bb64f8080025e5d546ecd0
https://doi.org/10.21203/rs.3.rs-2615178/v1
https://doi.org/10.21203/rs.3.rs-2615178/v1
Autor:
Dakshata Argade, Vaishali Khairnar
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811928932
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2162376787ca739b6d7f626ca9d3877f
https://doi.org/10.1007/978-981-19-2894-9_39
https://doi.org/10.1007/978-981-19-2894-9_39
Autor:
Vaishali Khairnar, Rohan Desai
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811624216
Intelligent Sustainable Systems
Intelligent Sustainable Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dc4f92bfbd8690ca8d09f0d67b97043
https://doi.org/10.1007/978-981-16-2422-3_54
https://doi.org/10.1007/978-981-16-2422-3_54
Publikováno v:
Transport and Telecommunication Journal. 14:300-315
Traffic safety applications using vehicle-to-vehicle (V2V) communication is an emerging technology and promising area within the ITS environment. Many of these applications require real-time communication with high reliability; to meet a real-time de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2b715755b3a0edddee9891823872b49
https://doi.org/10.2478/ttj-2013-0026
https://doi.org/10.2478/ttj-2013-0026
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Sep2024, Vol. 18 Issue 8, p1-28, 28p
Autor:
Patil, M.D., Vyawahare, V.A., Patil, Parikshit, Mhatre, Hrishikesh, Patil, Ruchita, Shinde, Apurva, Joshi, Bharti
Publikováno v:
ITM Web of Conferences; 2020, Vol. 34, p1-6, 6p