Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kavita Khobragade"'
Publikováno v:
Advances in Computer Science Research ISBN: 9789464631357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50238586cd0ad8d384ca2ca9c753e95a
https://doi.org/10.2991/978-94-6463-136-4_7
https://doi.org/10.2991/978-94-6463-136-4_7
Publikováno v:
Advances in Computer Science Research ISBN: 9789464631357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a827e9005a5be133f7b44692ed0d095
https://doi.org/10.2991/978-94-6463-136-4_51
https://doi.org/10.2991/978-94-6463-136-4_51
Autor:
Ramesh R. Manza, Kavita Khobragade, Bharatratna P. Gaikwad, Kavita Waghmare, Pawan Kamble, Bharati Gawali, Anupriya Kamble
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811604928
RTIP2R (2)
RTIP2R (2)
In the prevailing period of innovation the automatic identification of speaker assumes a significant role. The application of speaker recognition is spin towards Biometric security. This paper depicted a speaker recognition framework for isolated wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81b96d3e4af241e4c601b6f0545208a6
https://doi.org/10.1007/978-981-16-0493-5_30
https://doi.org/10.1007/978-981-16-0493-5_30
Autor:
Margaret Salve, Kavita Khobragade
Publikováno v:
Rising Threats in Expert Applications and Solutions ISBN: 9789811560132
Today’s world is the most air-polluted world and air pollution has become a major concern nowadays. With the increased population, the number of vehicles also increased at an alarming rate, especially in metropolitan and big cities. This has led to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea86f3e432b23992ef4b7766e674d8b7
https://doi.org/10.1007/978-981-15-6014-9_44
https://doi.org/10.1007/978-981-15-6014-9_44
Autor:
Karbhari V. Kale, Siddharth B. Dabhade, M Naveena, Yogesh S. Rode, Nagsen S. Bansod, Kavita Khobragade, M. M. Kazi
Publikováno v:
2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC).
Hyperspectral face recognition is a very challenging task as well as time-consuming process. Hyperspectral face images (HFI) are a very big size images as compare to normal RGB images. HFI is always more than 10 bands with spatial resolution and its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fbe1e5bb3c0b5a165efb06eec7193dd
https://doi.org/10.1109/ctceec.2017.8455113
https://doi.org/10.1109/ctceec.2017.8455113
