Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Kanniga Devi"'
Autor:
Suresh Sethu, Mayandi Kalimuthu, Rajini Nagarajan, Sikiru O Ismail, Kanniga Devi, M Muthukannan, M Murali, Faruq Mohammad, Hamad A Al-Lohedan
Publikováno v:
Materials Research Express, Vol 10, Iss 10, p 105501 (2023)
The objective of this research is to investigate the extraction and characterization of a particular kind of Indian bamboo family plant known as Bambusa bambos . The fibres were extracted from the bamboo plant in the form of strips using the retting
Externí odkaz:
https://doaj.org/article/90267e7b19694ee895e3d4e9c287cd09
Autor:
Arunachalam, Suresh Kumar, Muthiah, Muthukannan, Rangaswamy, Kanniga Devi, Kadarkarai, Arunkumar, Arunasankar, Chithambar Ganesh
Publikováno v:
World Journal of Engineering, 2021, Vol. 19, Issue 6, pp. 808-821.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-01-2021-0055
Autor:
Arunkumar, K., Muthiah, Muthukannan, A., Suresh Kumar, A., Chithambar Ganesh, R., Kanniga Devi
Publikováno v:
World Journal of Engineering, 2021, Vol. 19, Issue 6, pp. 843-853.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-03-2021-0162
Autor:
Kadarkarai Arunkumar, Muthiah Muthukannan, Arunachalam Suresh kumar, Arunasankar Chithambar Ganesh, Rangaswamy Kanniga Devi
Publikováno v:
Engineering and Applied Science Research, Vol 49, Iss 2, Pp 235-247 (2022)
On reducing greenhouse gas emissions by the cement industry, geopolymer with an amorphous polymer form was the best alternative. Geopolymer concrete (GPC) was weak in impact strength, brittle, ductile, and energy absorption than conventional cement c
Externí odkaz:
https://doaj.org/article/d7bccf77524b48d9afd25c2fd5538209
Publikováno v:
Nature Environment and Pollution Technology, Vol 21, Iss 1, Pp 21-32 (2022)
The objective of this study is to assess the air quality and water quality at Madurai city using the spatial interpolation technique of the Geographic Information System (GIS). Inverse Distance Weighting (IDW), Kriging, Gaussian- Kriging methods of i
Externí odkaz:
https://doaj.org/article/f604833892044486903e853ea6d8709e
Publikováno v:
Water Science and Technology, Vol 84, Iss 10-11, Pp 2780-2792 (2021)
Incinerated Bio-Medical Waste Ash (IBWA) is toxic waste material with broad potential (cancer, genetic risk, premature death, permanent disease) to inflict severe health damage for the atmosphere and humans. This waste is disposed of as landfill, whi
Externí odkaz:
https://doaj.org/article/70c151de522e4acf97b4cce7a2ec98ba
Publikováno v:
International Journal of Physical Distribution & Logistics Management. 52:512-537
PurposeThe purpose of this study is to present a large-scale real-world comparative study using pre-COVID lockdown data versus post-COVID lockdown data on predicting shipment times of therapeutic supplies in e-pharmacy supply chains and show that our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b8703ce8765d238c6bc1598327bcbc3
https://doi.org/10.1108/ijpdlm-05-2021-0192
https://doi.org/10.1108/ijpdlm-05-2021-0192
Autor:
Kanniga Devi, Sundaraperumal, Thirumal, Vediyappan, Balamurugan, A., Avula, Balakrishna, Devi Pongiya, Uma, Kim, Jinho, Surya, Chinnasamy
Publikováno v:
In Materials Letters 1 November 2023 350
Publikováno v:
Australian Journal of Structural Engineering. 23:254-268
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfbcf090db564a622b504ab254b97e88
https://doi.org/10.1080/13287982.2022.2044613
https://doi.org/10.1080/13287982.2022.2044613
Autor:
Mahesh Babu Mariappan, Kanniga Devi, Yegnanarayanan Venkataraman, Ming K. Lim, Panneerselvam Theivendren
Publikováno v:
The International Journal of Logistics Management. 34:390-416
PurposeThis paper aims to address the pressing problem of prediction concerning shipment times of therapeutics, diagnostics and vaccines during the ongoing COVID-19 pandemic using a novel artificial intelligence (AI) and machine learning (ML) approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cda687851f5071f05c4829ab4bd06dc4
https://doi.org/10.1108/ijlm-05-2021-0300
https://doi.org/10.1108/ijlm-05-2021-0300