Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Sayantani, Basu"'
Publikováno v:
Electronics, Vol 22, Iss 1, Pp 34-39 (2018)
Epilepsy is a condition that affects thousands of people worldwide. In the laboratory setting, it becomes difficult to monitor patients and analyze when the next seizure would recur. Although algorithms have been proposed for deriving when the next s
Externí odkaz:
https://doaj.org/article/28f425a6f3b949ee978a43ddff080560
Publikováno v:
Journal of Vinyl and Additive Technology. 29:130-143
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff3b6cbdeacaa08cbbfeb056b445a5d9
https://doi.org/10.1002/vnl.21949
https://doi.org/10.1002/vnl.21949
Autor:
Settimio Pacelli, Ryan Maloney, Aparna R. Chakravarti, Jonathan Whitlow, Sayantani Basu, Saman Modaresi, Stevin Gehrke, Arghya Paul
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
Abstract Nanodiamonds (NDs) have attracted considerable attention as drug delivery nanocarriers due to their low cytotoxicity and facile surface functionalization. Given these features, NDs have been recently investigated for the fabrication of nanoc
Externí odkaz:
https://doaj.org/article/419b8269cf4944669490cb1ab703329e
Autor:
Anupam Gautam, Debaleena Bhowmik, Sayantani Basu, Abhishake Lahiri, Wenhuan Zeng, Sandip Paul
Microbial community maintains its ecological dynamics via metabolites crosstalk. Hence knowledge of the metabolome, alongside its populace, would help us understand the functionality of that community and also predict how it alters in atypical condit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4953c9efccbab8aa97cd2d0342f296dc
https://doi.org/10.1101/2023.04.04.535534
https://doi.org/10.1101/2023.04.04.535534
Autor:
Aishik Chakraborty, Arghya Paul, Sayantani Basu, Yasmeen Shamiya, Abdul-Rahman Imad Alkiswani
Publikováno v:
Materials Advances. 3:946-952
Diagram depicting the strategy for fabricating DNA-based hydrogels impregnated by ultrathin 2D tungsten disulfide nanosheets relevant for biomedical applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4c5e950f3a3a91f1b16f39dd4e88a7a
https://doi.org/10.1039/d1ma00897h
https://doi.org/10.1039/d1ma00897h
Autor:
Sayantani Basu, Akhil Kumar Sen
Publikováno v:
ChemBioEng Reviews. 8:633-653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6c74939df0401839f17730cc6d41b5f
https://doi.org/10.1002/cben.202100009
https://doi.org/10.1002/cben.202100009
Autor:
Sayantani Basu, Roy H. Campbell
Publikováno v:
Springer Series in Reliability Engineering ISBN: 9783031020629
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53b9ecdf991ab79b37e4643fd2d3734b
https://doi.org/10.1007/978-3-031-02063-6_19
https://doi.org/10.1007/978-3-031-02063-6_19
Autor:
Sayantani Basu, Roy H. Campbell
Various learning models distinguish between an electroencephalogram (EEG) record of a normal patient and one having a seizure. In this paper, we propose a deep-learning based short-term memory (LSTM) model to identify whether an EEG record belongs to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1370a3ac2e0f77d4602e9d71a3a2821
https://doi.org/10.1101/2022.06.15.22276461
https://doi.org/10.1101/2022.06.15.22276461
Autor:
Sayantani, Basu, Roy H, Campbell
Publikováno v:
Studies in health technology and informatics. 290
The COVID-19 pandemic has caused millions of infections and deaths worldwide in an ongoing pandemic. With the passage of time, several variants of this virus have surfaced. Machine learning methods and algorithms have been very useful in understandin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::24c5bf3b2ee4549ab9eadfa4774638a5
https://pubmed.ncbi.nlm.nih.gov/35673106
https://pubmed.ncbi.nlm.nih.gov/35673106
Autor:
Sayantani Basu, Roy H. Campbell
The COVID-19 pandemic has caused millions of infections and deaths worldwide in an ongoing pandemic. With the passage of time, several variants of this virus have surfaced. Machine learning methods and algorithms have been very useful in understandin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b92027bd3e6eec12075c3ea3fbd618c
https://doi.org/10.3233/shti220167
https://doi.org/10.3233/shti220167