Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bishal Barman"'
Publikováno v:
Gels, Vol 10, Iss 2, p 92 (2024)
The surge in chronic diseases is closely linked to heightened levels of saturated and trans fatty acids in processed foods, particularly meat products. Addressing this concern, various strategies have been employed to alleviate the impact of these de
Externí odkaz:
https://doaj.org/article/7bb3e1d100284b4995b19db7236fe318
Autor:
Russell A Poldrack, Jeanette A Mumford, Tom Schonberg, Donald Kalar, Bishal Barman, Tal Yarkoni
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 10, p e1002707 (2012)
Neuroimaging research has largely focused on the identification of associations between brain activation and specific mental functions. Here we show that data mining techniques applied to a large database of neuroimaging results can be used to identi
Externí odkaz:
https://doaj.org/article/7538ef9739f946edad4060533384246f
Publikováno v:
Pattern Recognition. 43:1282-1291
A new method of partitive clustering is developed in the framework of shadowed sets. The core and exclusion regions of the generated shadowed partitions result in a reduction in computations as compared to conventional fuzzy clustering. Unlike rough
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b69d255cebfec899b5901f86c45afd26
https://doi.org/10.1016/j.patcog.2009.09.029
https://doi.org/10.1016/j.patcog.2009.09.029
Autor:
Jeanette A. Mumford, Tom Schonberg, Tal Yarkoni, Russell A. Poldrack, Bishal Barman, Donald J. Kalar
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 10, p e1002707 (2012)
PLoS Computational Biology
PLoS Computational Biology
Neuroimaging research has largely focused on the identification of associations between brain activation and specific mental functions. Here we show that data mining techniques applied to a large database of neuroimaging results can be used to identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36ee6aa6318b5aec1db27c49f21782f7
http://europepmc.org/articles/PMC3469446?pdf=render
http://europepmc.org/articles/PMC3469446?pdf=render
Autor:
Sushmita Mitra, Bishal Barman
Publikováno v:
Rough Sets and Knowledge Technology ISBN: 9783540797203
RSKT
RSKT
A novel application of rough-fuzzy clustering is presented for synthetic as well as CT scan images of the brain. It is observed that the algorithm generates good prototypes even in the presence of outliers. The rough-fuzzy clustering simultaneously h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc8f9b9d982ce9e39fa831571cf0eb73
https://doi.org/10.1007/978-3-540-79721-0_43
https://doi.org/10.1007/978-3-540-79721-0_43
Publikováno v:
Rough Sets and Current Trends in Computing ISBN: 9783540884231
RSCTC
RSCTC
The paper presents a novel application of the shadowed clustering algorithm for uncertainty modeling and CT scan image segmentation. The core, shadowed and the exclusion regions, generated via shadowed c-means (SCM), quantize the ambiguity into three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b246675fbf3d85538cf72e240b2abe9
https://doi.org/10.1007/978-3-540-88425-5_49
https://doi.org/10.1007/978-3-540-88425-5_49