Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mannar Jawahar Ponnuswamy"'
Autor:
Sundravadivelu Kandiah, Mannar Jawahar Ponnuswamy, Kamalanand Krishnamurthy, Paramasivam Alagumariappan
Publikováno v:
Polish Journal of Medical Physics and Engineering. 23:37-42
Electrogastrograms (EGG) are electrical signals originating from the digestive system, which are closely correlated with its mechanical activity. Electrogastrography is an efficient non-invasive method for examining the physiological and pathological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64d1b7d66ae3d8903d845361578fd66a
https://doi.org/10.1515/pjmpe-2017-0007
https://doi.org/10.1515/pjmpe-2017-0007
Swarm intelligence is a branch of computational intelligence where algorithms are developed based on the biological examples of swarming and flocking phenomena of social organisms such as a flock of birds. Such algorithms have been widely utilized fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57ed6fa92f13f1d0fd4b7d3c84c2330e
https://doi.org/10.4018/978-1-5225-4769-3.ch002
https://doi.org/10.4018/978-1-5225-4769-3.ch002
Publikováno v:
Current Bioinformatics. 14:280-281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0917b2b0ecb481e5d446f5879b689550
https://doi.org/10.2174/157489361404190327112500
https://doi.org/10.2174/157489361404190327112500
Publikováno v:
European Journal for Biomedical Informatics.
The unpredictable nature of infectious diseases has been a source of fear and superstition since early times. The purpose of introducing mathematics in the field of infectious diseases is to understand the dynamics of infections and for analysis [1].
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68eb3b931356fe36d6361c3680a737e2
https://doi.org/10.24105/ejbi.2013.09.2.1
https://doi.org/10.24105/ejbi.2013.09.2.1
Publikováno v:
The World Allergy Organization Journal
Results The accuracy in estimation of HIV-1 viral load using the proposed method was found to be 94.58%. Further, the estimation error in the acute stage of the disease was found to be 4.29%, whereas, the estimation error in the chronic phase of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fd9875f2fede736d5bfc2080531b816
http://europepmc.org/articles/PMC3643412
http://europepmc.org/articles/PMC3643412
Publikováno v:
IETE Technical Review; Jun2015, Vol. 32 Issue 3, p188-195, 8p