Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Vahida Attar"'
Autor:
Karishma Pawar, Vahida Attar
Publikováno v:
ICT Express, Vol 8, Iss 3, Pp 379-387 (2022)
Real-world traffic surveillance videos need continuous supervision to monitor and take appropriate actions in case of fatal accidents. However, continuously monitoring them with human supervision is error prone and tedious. Therefore, a deep learning
Externí odkaz:
https://doaj.org/article/4d5d264ccad147718d0f8aeefa94b17b
Autor:
Karishma Pawar, Vahida Attar
Publikováno v:
IET Biometrics, Vol 11, Iss 4, Pp 289-303 (2022)
Abstract Due to the need for increased security measures for monitoring and safeguarding the activities, video anomaly detection is considered as one of the significant research aspects in the domain of computer vision. Assigning human personnel to c
Externí odkaz:
https://doaj.org/article/308edcb5571345c7ac8676ad12ada69d
Autor:
Rajesh Bharati, Vahida Attar
Publikováno v:
Intelligent Automation & Soft Computing. 37:763-775
Autor:
Sushila Shelke, Vahida Attar
Publikováno v:
Multimedia Tools and Applications. 81:17347-17368
Emergence in the social network leads to the extensive and faster diffusion of news than conventional news channels. Verification of data is challenging due to massive information on a social network. Unverified information can be a rumor or fake new
Publikováno v:
Data Management, Analytics and Innovation ISBN: 9789819914135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f77850bbda224dbe220f4218ef34c5fd
https://doi.org/10.1007/978-981-99-1414-2_43
https://doi.org/10.1007/978-981-99-1414-2_43
Publikováno v:
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N).
Autor:
Pratik Dilip Kamble, Vahida Attar
Publikováno v:
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N).
Publikováno v:
2022 IEEE Pune Section International Conference (PuneCon).
Publikováno v:
2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT).
Autor:
Tanuja Pattanshetti, Vahida Attar
Publikováno v:
International Journal of Distributed Systems and Technologies. 11:23-38
Widely used data processing platforms use distributed systems to process huge data efficiently. The aim of this article is to optimize the platform services by tuning only the relevant, tunable, system parameters and to identify the relation between