Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Pradnya, Kulkarni"'
Publikováno v:
ACS Omega. 7:40558-40568
Publikováno v:
Indian Journal of Otolaryngology and Head & Neck Surgery. 74:427-433
Adequate visualization of the vocal folds is essential for optimal phonosurgery. Pre-operative knowledge of a difficult laryngeal exposure (DLE) can alert the surgeon regarding the need for alternative measures. Our study is based on the hypothesis t
Publikováno v:
ACS omega. 7(44)
Peptide nucleic acids (PNAs) consist of an aminoethylglycine (
Publikováno v:
Expert Clouds and Applications ISBN: 9789811924996
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9beae84584b5ced37189c09491eb3135
https://doi.org/10.1007/978-981-19-2500-9_43
https://doi.org/10.1007/978-981-19-2500-9_43
Publikováno v:
2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON).
Publikováno v:
Organicbiomolecular chemistry. 19(29)
The flexible backbone of aminoethylglycine (aeg) PNA upon substitution becomes sterically constrained to enable conformational pre-organization for preferential binding to DNA or RNA. The bulky gem-dimethyl (gdm) substituent on carbons adjacent to th
Publikováno v:
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY. :1-4
Diagnostic radiology struggles to maintain high interpretation accuracy. Retrieval of past similar cases would help the inexperienced radiologist in the interpretation process. Character n-gram model has been effective in text retrieval context in la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3166b4614562bf1a6d85d40e4e116810
Autor:
Sagar Karki, Pradnya Kulkarni
Publikováno v:
2021 International Conference on Emerging Smart Computing and Informatics (ESCI).
Diabetic Retinopathy (DR) is a diabetes complication that affects vision. It is caused by damage to the blood vessels of retina. Early and accurate detection of DR is crucial to reduce likelihood of progression to proliferative retinopathy and blindn
Publikováno v:
ACSW
Early and accurate detection of melanoma with data analytics can make treatment more effective. This paper proposes a method to classify melanoma cases using deep learning on dermoscopic images. The method demonstrates that heavy augmentation during