Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Sarat C. Dass"'
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 2, Pp 527-556 (2024)
The COVID-19 pandemic has significantly impacted global health, social, and economic situations since its emergence in December 2019. The primary focus of this study is to propose a distinct vaccination policy and assess its impact on controlling COV
Externí odkaz:
https://doaj.org/article/de8bfbdea0f84904afb83e2d1b8938db
Autor:
R. Mukesh, Sarat C. Dass, Negash Lemma Gurmu, M. Vijay, S. Kiruthiga, S. Mythili, D. Venkata Ratnam, V. B. S. Srilatha Indira Dutt
Publikováno v:
Advances in Astronomy, Vol 2024 (2024)
This paper presents forecast and investigation of the variation in ionospheric Total Electron Content (TEC) during the solar eclipses (SEs) of December 2019 and June 2020 using three different methods: Deep Autoregressive model (DeepAR), Feed-Forward
Externí odkaz:
https://doaj.org/article/d543af5d5ce947bd8c26134612d1b99c
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 11, Iss 1, Pp 253-268 (2020)
Abstract Saybolt color determination is one of the techniques used to evaluate the quality of petroleum products as an indicator of the degree of refinement. As color is a property readily observed by operators, conventional procedures require operat
Externí odkaz:
https://doaj.org/article/0c51394cea664f6a8423d7215c8ba27c
Autor:
Khor Cheng Seong, Nur Nelly Sofia Nurazrin, Fatimah Mohd Hanafi, Sarat C. Dass, Shahrul Azman Zainal Abidin, Farah Syamim Anuar
Publikováno v:
ASM Science Journal, Vol 13, Pp 1-7 (2020)
Saybolt colour or number is a measured physical property of petroleum condensates and light crude oils which can be used as a quality indicator. As an alternative approach to the laboratory-based colour measurement method, this work aims to determine
Externí odkaz:
https://doaj.org/article/ae0ff59cec2c41389637f8dbfe276f3d
Autor:
Raheel Zafar, Sarat C. Dass, Aamir Saeed Malik, Nidal Kamel, M. Javvad Ur Rehman, Rana Fayyaz Ahmad, Jafri Malin Abdullah, Faruque Reza
Publikováno v:
IEEE Access, Vol 5, Pp 13010-13019 (2017)
Human brain has a complex structure with the billions of neurons, so it is a difficult and challenging task to predict the behavior of human brain. Different methods and classifiers are used to measure and classify the brain activities with higher ac
Externí odkaz:
https://doaj.org/article/a010a7e1d4044556b32663d277c49495
Publikováno v:
Geospatial Health, Vol 13, Iss 1 (2018)
This study investigated the potential relationship between dengue cases and air quality – as measured by the Air Pollution Index (API) for five zones in the state of Selangor, Malaysia. Dengue case patterns can be learned using prediction models ba
Externí odkaz:
https://doaj.org/article/7b6c0e8787544d5ca67391e22966ecda
Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach
Publikováno v:
Geospatial Health, Vol 12, Iss 2 (2017)
Ability to detect potential space-time clusters in spatio-temporal data on disease occurrences is necessary for conducting surveillance and implementing disease prevention policies. Most existing techniques use geometrically shaped (circular, ellipti
Externí odkaz:
https://doaj.org/article/a4e34bf6421946628317f4d1c621ab4a
Publikováno v:
Complexity, Vol 2017 (2017)
This article presents statistical inference methodology based on maximum likelihoods for delay differential equation models in the univariate setting. Maximum likelihood inference is obtained for single and multiple unknown delay parameters as well a
Externí odkaz:
https://doaj.org/article/a1c7471a8dbb483b9c63756a1df76205
Autor:
Ooi Wei Lim, Sarat C Dass
Publikováno v:
Malaysian Journal of Public Health Medicine. 22:22-33
An increasing trend of newly diagnosed diabetes mellitus (DM) among adolescents is occurring worldwide, including Malaysia. This study aims to determine the overall relationships between risk factors on the prevalence of newly diagnosed diabetes mell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36b2ddd39c3a86a2290971e480c06285
https://doi.org/10.37268/mjphm/vol.22/no.3/art.1434
https://doi.org/10.37268/mjphm/vol.22/no.3/art.1434
Autor:
Rose Nani Mudin, Yoke Fun Chan, I-Ching Sam, Yvonne A. L. Lim, Sarat C. Dass, Wan Yusoff Wan Sulaiman, Balvinder Singh Gill, Romano Ngui, Chee Kheong Chong, Lokman Hakim Sulaiman
Publikováno v:
Transactions of The Royal Society of Tropical Medicine and Hygiene. 115:922-931
Background We studied the spatiotemporal spread of a chikungunya virus (CHIKV) outbreak in Sarawak state, Malaysia, during 2009–2010. Methods The residential addresses of 3054 notified CHIKV cases in 2009–2010 were georeferenced onto a base map o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af160165fbef3a3fa346a25cc8ae5175
https://doi.org/10.1093/trstmh/trab053
https://doi.org/10.1093/trstmh/trab053