Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Prashant S. Bhandare"'
Publikováno v:
Techno-Societal 2020 ISBN: 9783030699208
This System (Website and App) is aimed at developing a Bandobast Allocation and Attendance System (BAAS) that is of importance to Pandharpur Police for various Bandobast like VIP Bandobast, Election Bandobast, and mostly for Wari Bandobast. This syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d7af402869a73424a44a8d7a5f001b2
https://doi.org/10.1007/978-3-030-69921-5_59
https://doi.org/10.1007/978-3-030-69921-5_59
Publikováno v:
Techno-Societal 2020 ISBN: 9783030699208
Clustering Algorithm is an unsupervised machine learning technique. Unsupervised Machine learning well defined unknown patterns in data. Clustering is the process of organizing data into specific groups. Clustering is mainly deals with finding a stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4d4b1e9763f872708f25d0929edf443
https://doi.org/10.1007/978-3-030-69921-5_64
https://doi.org/10.1007/978-3-030-69921-5_64
Publikováno v:
Techno-Societal 2020 ISBN: 9783030699208
In a research community, data sharing is an essential step to gain maximum knowledge from the prior work. Existing data sharing platforms depend on trusted third party (TTP). Due to the involvement of TTP, such systems lack trust, transparency, secur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68b1dd365eefb44b80ea2407e7089a25
https://doi.org/10.1007/978-3-030-69921-5_76
https://doi.org/10.1007/978-3-030-69921-5_76
Publikováno v:
International Journal of Engineering Research and.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c03f0183eeb5dd83637eea0b595ef6ba
https://doi.org/10.17577/ijertv5is090349
https://doi.org/10.17577/ijertv5is090349
Autor:
Thomas A. Caputo, Basil Rigas, Menashi A. Cohenford, Prashant S. Bhandare, Katherine Laguardia, Liang Qiao
Publikováno v:
Journal of Laboratory and Clinical Medicine. 135:26-31
Patients with HIV have an increased incidence of cervical cancer, necessitating increased surveillance. Infrared spectroscopy (IRS) has the potential of aiding the diagnosis of cervical neoplasia and also of providing clues into its pathogenesis. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f89aa8bb8794f81f80c0701c925d662
https://doi.org/10.1016/s0022-2143(00)70017-5
https://doi.org/10.1016/s0022-2143(00)70017-5
Autor:
Menashi A. Cohenford, Prashant S. Bhandare, Basil Rigas, Frederick Cahn, Thomas A. Godwin, Thomas A. Caputo
Publikováno v:
Gynecologic Oncology. 66:59-65
Fourier-transform infrared (FT-IR) spectra of malignant and dysplastic cervical scrapings were abnormal, as first described in our study of a limited number of samples, where the spectra were evaluated by visual inspection and peak intensity ratios.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a49f68e501d932653d60df98d1399949
https://doi.org/10.1006/gyno.1997.4627
https://doi.org/10.1006/gyno.1997.4627
Publikováno v:
Progress in Fourier Transform Spectroscopy ISBN: 9783211829318
This paper discusses the application of FT-Raman spectrometry for investigating different biologically important molecules such as amino acids and proteins in both the solid and native states. The utility of FT-Raman spectroscopy for examining struct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d650d96835d1d7375dbd186d70381a8
https://doi.org/10.1007/978-3-7091-6840-0_194
https://doi.org/10.1007/978-3-7091-6840-0_194
Publikováno v:
Progress in Fourier Transform Spectroscopy ISBN: 9783211829318
FT-IR spectrometry was used to perform evolved gas analysis from samples used in thermogravimetric analysis (TGA) and differential thermal analysis (DTA) techniques. In this study, we demonstrate the utility of such combined FT-IR/TGA/DTA techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff2d5b36fdf3a271346ac272dd28d79d
https://doi.org/10.1007/978-3-7091-6840-0_192
https://doi.org/10.1007/978-3-7091-6840-0_192