Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Shailendra S. Aote"'
Autor:
Shantanu Lohi, Shailendra S. Aote, Ravindra N. Jogekar, Harish V. Gorewar, Ajay A. Jaiswal, Sandeep S. Ganorkar, Snehal A. Lohi-Bode, Rajesh M. Metkar, Shwetambari Chiwhane
Publikováno v:
IETE Journal of Research. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01b0295910d6641348ca9e544af06ac
https://doi.org/10.1080/03772063.2023.2185298
https://doi.org/10.1080/03772063.2023.2185298
Autor:
Shailendra S Aote, Archana Potnurwar, Sreya Vallabhaneni, Naveen Reddy Pogalla, Puru Kumar, Rohit Bhavesh Doshi, Syed Armaan Khurram
Publikováno v:
International journal of health sciences. :10357-10364
The transition of technology over the years increases its application in new domains such as face detection using a pre-trained model. The cosmetic industry is most popular now with the need for automating the experience of a trial virtually. The obj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01825136a5cedeb6c7bb4f58a239a82
https://doi.org/10.53730/ijhs.v6ns1.7488
https://doi.org/10.53730/ijhs.v6ns1.7488
Autor:
Shailendra S. Aote, Amit Khaparde, Balamurugan Balusamy, Aayush Muley, Adesh Kotgirwar, Atharva Uplanchiwar, Lalita Sharma
Publikováno v:
Healthcare 4.0 ISBN: 9781003217435
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0660c98ec025ea37535d70abd195d69
https://doi.org/10.1201/9781003217435-14
https://doi.org/10.1201/9781003217435-14
Autor:
Shantanu Lohi, Shailendra S. Aote, Ravindra N. Jogekar, Harish V. Gorewar, Ajay A. Jaiswal, Sandeep S. Ganorkar, Snehal A. Lohi-Bode, Rajesh M. Metkar, Dilip R. Uike
Publikováno v:
ICT Infrastructure and Computing ISBN: 9789811953309
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7fc4efac6deef06f9052c194bfa6855
https://doi.org/10.1007/978-981-19-5331-6_18
https://doi.org/10.1007/978-981-19-5331-6_18
Autor:
Shailendra S. Aote
Publikováno v:
Bioscience Biotechnology Research Communications. 13:955-97
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a72a2516db09ab570fdad4a33746cb60
https://doi.org/10.21786/bbrc/13.14/23
https://doi.org/10.21786/bbrc/13.14/23
Publikováno v:
Engineering Applications of Artificial Intelligence. 117:105575
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::040a73b6a72e4aa5b77b51a4d24d9268
https://doi.org/10.1016/j.engappai.2022.105575
https://doi.org/10.1016/j.engappai.2022.105575
Publikováno v:
Bioscience Biotechnology Research Communications. 13:361-363
COVID-19 is a disease caused by a new strain of coronavirus. With the rapid increase in the spread of COVID-19, many people are getting affected by it. As the disease cannot be detected until the affected person doesn't take the COVID-19 test, the pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3b150593609cf7d1cfaa8ed17519da0
https://doi.org/10.21786/bbrc/13.14/83
https://doi.org/10.21786/bbrc/13.14/83
Autor:
Archana Potnurwar, Shailendra S. Aote
Publikováno v:
Multimedia Tools and Applications. 78:14465-14484
Large increase in audio, video and digital data in the internet signifies the importance of video annotation techniques. This paper mainly deals with the development of a hybrid algorithm for automatic Video Annotation (VA). Another aim in developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e7f037cad5e60c18cdc7debc5e43200
https://doi.org/10.1007/s11042-018-6826-3
https://doi.org/10.1007/s11042-018-6826-3
Autor:
Aditi R. Pawar, Shailendra S. Aote
Publikováno v:
International Journal of Computer Sciences and Engineering. 5:218-222
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e27959a14678fa4bb1e04417d141b157
https://doi.org/10.26438/ijcse/v5i12.218222
https://doi.org/10.26438/ijcse/v5i12.218222
Publikováno v:
Arabian Journal for Science and Engineering. 41:1067-1076
Nature-based particle swarm optimization (NBPSO) is a technique which improves the performance of particle swarm optimization by using happenings in nature. It utilizes the concept of mature particles, which has the decisive ability to find out the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7570f577e7e911c3bfd0131f8b8514bf
https://doi.org/10.1007/s13369-015-1990-5
https://doi.org/10.1007/s13369-015-1990-5