Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Avishek Nandi"'
Autor:
Marua Prevato, Roberta Cozzi, Alfredo Pezzicoli, Anna Rita Taddei, Ilaria Ferlenghi, Avishek Nandi, Emanuele Montomoli, Ethan C Settembre, Sylvie Bertholet, Alessandra Bonci, Francois Legay
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0135383 (2015)
Antibodies (Ab) to neuraminidase (NA) play a role in limiting influenza infection and might help reduce the disease impact. The most widely used serological assay to measure functional anti-NA immune responses is the Enzyme-Linked Lectin Assay (ELLA)
Externí odkaz:
https://doaj.org/article/7c4fe440a9534576b8155731e1e2269f
Autor:
Aemro Kassa, Antu K Dey, Pampi Sarkar, Celia Labranche, Eden P Go, Daniel F Clark, Yide Sun, Avishek Nandi, Karin Hartog, Heather Desaire, David Montefiori, Andrea Carfi, Indresh K Srivastava, Susan W Barnett
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e76139 (2013)
Entry of HIV-1 into target cells requires binding of the viral envelope glycoprotein (Env) to cellular receptors and subsequent conformational changes that culminates in fusion of viral and target cell membranes. Recent structural information has rev
Externí odkaz:
https://doaj.org/article/b7c0af66bfd14154b3573bb1a9e8c474
Autor:
Antu K Dey, Brian Burke, Yide Sun, Klara Sirokman, Avishek Nandi, Karin Hartog, Ying Lian, Anthony R Geonnotti, David Montefiori, Michael Franti, Grégoire Martin, Andrea Carfi, Pascal Kessler, Loïc Martin, Indresh K Srivastava, Susan W Barnett
Publikováno v:
PLoS ONE, Vol 7, Iss 1, p e30233 (2012)
The identification of HIV-1 envelope glycoprotein (Env) structures that can generate broadly neutralizing antibodies (BNAbs) is pivotal to the development of a successful vaccine against HIV-1 aimed at eliciting effective humoral immune responses. To
Externí odkaz:
https://doaj.org/article/8de4cde9f4c94164b95e696ae0582869
Publikováno v:
Multimedia Tools and Applications. 80:31993-32022
The present article proposes a geometry-based fuzzy relational technique for capturing gradual change in human emotion over time available from relevant face image sequences. As associated features, we make use of fuzzy membership arising out of five
Publikováno v:
International Journal of Natural Computing Research. 9:34-51
Automatic recognition of facial expressions and modeling of human expressions are very essential in the field of affective computing. The authors have introduced a novel geometric and texture-based method to extract the shapio-geometric features from
Publikováno v:
Applied Soft Computing. 134:109971
Publikováno v:
Innovations in Systems and Software Engineering.
Video-based facial expression recognition is a potential alternative for detecting the transitional processes of human emotion. In this paper, we present the landmark triangulation-induced altitude signatures to depict gradual changes in human emotio
Publikováno v:
SN Computer Science. 3
Facial expression is directly related to the changes in the shape of a face. The Active Appearance Model (AAM) can be used to determine the geometrical position of basic components by earmarking landmark points. The landmark points which are congruen
Publikováno v:
Intelligence Enabled Research ISBN: 9789811592898
Usage of the system for human emotion recognition has been increased in various types of applications of affective computing fields such as human sign language understanding, identification of human mental disorder, and human-computer interaction. He
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbb7dcd7675421cf3713097331484047
https://doi.org/10.1007/978-981-15-9290-4_9
https://doi.org/10.1007/978-981-15-9290-4_9
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811553998
Facial expression recognition system provides us enormous scope for studying characteristics of different human facial expression. Basic expressions (anger, disgust, fear, happiness, sadness, and surprise) can be distinguished from one another with m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::110e0ee0d70e765e7c09d785dc9e063d
https://doi.org/10.1007/978-981-15-5400-1_73
https://doi.org/10.1007/978-981-15-5400-1_73