Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Pravin, L. Yannawar"'
Publikováno v:
In Procedia Computer Science 2015 58:516-523
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 1, Pp 1361-1369 (2022)
Automatic classification of the plants is growing area of association with computer science and Botany, it has attracted many researchers to subsidize plant classification using image processing and machine learning techniques. Plants can be classifi
Publikováno v:
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences. 92:103-110
The proposed research work clearly investigates the effective use of two modalities (audio and visual inputs) toward designing functional audio-visual speech recognition system. The promising results presented in this piece of work were obtained on v
Publikováno v:
Smart Systems: Innovations in Computing ISBN: 9789811628764
The coronavirus disease 2019 (COVID-19) has appeared in December 2019 at Wuhan city, China. The virus started spreading over the world. Most of the governments have taken different measures to prevent the outbreak. Social distancing (SD) is one of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c35bddf1ae221a7dff3c5a2b6d5db3e
https://doi.org/10.1007/978-981-16-2877-1_31
https://doi.org/10.1007/978-981-16-2877-1_31
Publikováno v:
International Journal of Computer Sciences and Engineering. 7:14-20
Publikováno v:
2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV).
Recently, blockchain, deep learning, and computer vision are considered the most fundamental technologies in the world. The researchers have been paying much attention to use them. The centralized database system’s problem has low security because
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811605062
RTIP2R (1)
RTIP2R (1)
With the rapid improvement of the modern digital world and IoT-based systems, the accurate detection of objects moving in a dynamic scene has become an important and critical task. The object presented in videos and images is detected and recognized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba2dc2e5d2a91c09e0a0b5979293129d
https://doi.org/10.1007/978-981-16-0507-9_4
https://doi.org/10.1007/978-981-16-0507-9_4
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811604928
RTIP2R (2)
RTIP2R (2)
Modern plant identification system highly depends upon robust features and classification algorithms possibly the combination of several modalities. In this paper, we have used deep CNN features as well as we introduce venation angles present between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ac55bebd50cbc852805601ca98345b
https://doi.org/10.1007/978-981-16-0493-5_28
https://doi.org/10.1007/978-981-16-0493-5_28
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811605062
RTIP2R (1)
RTIP2R (1)
To expressing visual information Digital images play a significant role. On social media this information in form of digital image is continually increasing. Now a day easily digital images are misrepresented by peoples because availability of softwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d91ad5a8f118e2db42b2fcfe3627c5
https://doi.org/10.1007/978-981-16-0507-9_14
https://doi.org/10.1007/978-981-16-0507-9_14
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811605062
RTIP2R (1)
RTIP2R (1)
Video Analysis has rooted tremendously in many applications with the development of new technologies. Video Analysis plays vital role in many real time event applications where the small content from video gives a full story of the whole video. In su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d34f68cf896ce961f3cb8baf3e4bbfcb
https://doi.org/10.1007/978-981-16-0507-9_24
https://doi.org/10.1007/978-981-16-0507-9_24