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pro vyhledávání: '"Siddhant, Dash"'
Autor:
Siddhant Dash, Ajay S. Kalamdhad
Publikováno v:
Ecological Indicators, Vol 128, Iss , Pp 107862- (2021)
Water quality has always remained paramount when it comes to sustainable development. The most convenient method of determining the health of a particular water body is through water quality indexing. Based on the filtered 2049 articles published, th
Externí odkaz:
https://doaj.org/article/04477337179c414f9d8ea0b5e9a7b205
Publikováno v:
Ecological Indicators, Vol 122, Iss , Pp 107265- (2021)
The present study has been conducted for three objectives for the assessment of sediment pollution loadings and their ecological risk. Firstly, the hierarchical clustering of the raw sediment dataset was carried out, which categorized the sampling lo
Externí odkaz:
https://doaj.org/article/f95fb19c28984a39b37f205789e3a093
Autor:
Siddhant Dash, Chandrashekhar Azad
Publikováno v:
Autonomous Vehicles Volume 1. :161-180
Autor:
Haroon Basheer, Siddhant Dash, Jun Wen Wong, Xu Jia, Biplab Sikdar, Ashutosh Sancheti, Hoon Wei Lim, Muhammad Naveed Aman
Publikováno v:
IEEE Systems Journal. 16:789-800
Autor:
Payal Mazumder, Siddhant Dash, Manish Kumar, Rahul Silori, Ananda Tiwari, Meena Khwairakpam, Ajay S. Kalamdhad
Publikováno v:
Groundwater for Sustainable Development. 22:100962
Autor:
Siddhant Dash, Ajay S. Kalamdhad
Publikováno v:
Environmental Monitoring and Assessment. 194
Autor:
Siddhant Dash, Ajay S. Kalamdhad
Publikováno v:
Environmental Science and Pollution Research. 28:53983-54001
The present research focuses on addressing various ambiguities in the existing method of integrating information entropy and water quality, thereby presenting a novel approach for an entropy-weighted water quality index. A three-dimensional water qua
Autor:
Ajay S. Kalamdhad, Siddhant Dash
Publikováno v:
Environment, Development and Sustainability. 23:16381-16409
The current study investigates on correlating the heavy metal contamination, its distribution, and the human health risk associated with all three components of an aquatic ecosystem. For this purpose, water, sediment, and fish samples (three species,
Publikováno v:
Water Practice and Technology. 15:973-992
The present study uses four Environmetrics tools: hierarchical cluster analysis (HCA), discriminant analysis (DA), principal component analysis (PCA), and positive matrix factorization (PMF) for the assessment of water quality and geochemistry of Dee
Autor:
Muhammad Naveed Aman, Biplab Sikdar, Mohamed Haroon Basheer, Hoon Wei Lim, Jia Xu, Siddhant Dash, Jun Wen Wong
Publikováno v:
IEEE Internet of Things Journal. 7:7220-7233
The critical and sensitive nature of data that the Internet-of-Things (IoT) devices produce makes them an attractive target for cyber attacks. Among the various types of attacks, malware is becoming a major concern for the IoT device. This article pr