Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Namita Srivastava"'
Autor:
Devika Mehra, Shobhit Srivastava, Murari Chandra, Namita Srivastava, Mari Laaksonen, Heidi Elina Saarinen, Sunil Mehra
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background Preventing and responding to gender-based violence (GBV) is both a human rights imperative and a multifaceted economic issue. GBV can also act as a barrier to economic empowerment. The aim of the study was to examine the associati
Externí odkaz:
https://doaj.org/article/0b6dbf84413443fdaa282891851b9809
Publikováno v:
Journal of Genetic Resources, Vol 4, Iss 2, Pp 130-140 (2018)
Salinity is an increasing concern for the productivity of staple food crop. Crops with improved salt tolerance are highly needed to cultivate saline lands. Groundnut demand is increasing in countries like India, where saline land could be put under g
Externí odkaz:
https://doaj.org/article/39709e04288b4205b0e4a341a4522fe9
Publikováno v:
AIMS Bioengineering, Vol 4, Iss 1, Pp 179-197 (2017)
Dimension reduction has become inevitable for pre-processing of high dimensional data. “Gene expression microarray data” is an instance of such high dimensional data. Gene expression microarray data displays the maximum number of genes (features)
Externí odkaz:
https://doaj.org/article/01b689ef5e8d451e986928a541fad595
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 13, Iss 7, Pp DC14-DC19 (2019)
Introduction: Dengue is most widely spread mosquito-borne viral disease which is a major public health threat globally. The incidence of dengue fever is increasing year after year with morbidity and mortality in urban and suburban areas of tropical a
Externí odkaz:
https://doaj.org/article/b037f0c3c98f41f98ddf0e8b5541a780
Publikováno v:
Genomics Data, Vol 8, Iss C, Pp 4-15 (2016)
Feature (gene) selection and classification of microarray data are the two most interesting machine learning challenges. In the present work two existing feature selection/extraction algorithms, namely independent component analysis (ICA) and fuzzy b
Externí odkaz:
https://doaj.org/article/54f10273c18143c1b81ec2493232ff12
Publikováno v:
Advances in Fuzzy Systems, Vol 2018 (2018)
Stock selection poses a challenge for both the investor and the finance researcher. In this paper, a hybrid approach is proposed for asset allocation, offering a combination of several methodologies for portfolio selection, such as investor topology,
Externí odkaz:
https://doaj.org/article/aa299319249d41c5933c005cbfb9dde8
Publikováno v:
Iranian Journal of Reproductive Medicine, Vol 11, Iss 7, Pp 545-550 (2013)
Background: Tuberculosis (TB) is an increasing public health concern worldwide. On a global scale it has a devastating impact in developing nations. Genital TB, an extrapulmonary form, is not uncommon particularly in areas where pulmonary TB is preva
Externí odkaz:
https://doaj.org/article/a848b46f42464d058f449902b9e66ea9
Publikováno v:
Plant Breeding.
Autor:
Nikhil Sharma, Namita Srivastava, Bharti Devi, Lokender Kumar, Rajnish Kumar, Ashok Kumar Yadav
Publikováno v:
Chemistry & Biodiversity. 20
Publikováno v:
Recent Advances in Computer Science and Communications. 14:1937-1954
Background: It has been a matter of discussion in years even after using an FST. Because of being a single valued membership, a fuzzy set can't express desired information. Further extended as HFSs which allows all possible membership degree lying be