Browsing by Author "Sahu, Y.K."

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    Futuristic AI convergence of megatrends: IoT and cloud computing
    (wiley, 2022) Pandey, C.; Sahu, Y.K.; Kannan, N.; Rashid Mahmood, M.R.; Sethy, P.K.; Behera, S.K.
    Recent years have seen increasing curiosity among users in migrating their cloud computing and internet-of-things apps. Cloud-based and internet-of-things infra-structures require specialized hardware to enable software and advanced manage-ment strategies to improve performance. Adaptability and autonomous learning capabilities are highly valuable in facilitating the configuration and complex transition of these infrastructures to customers' changing demands and designing adaptable applications. This capacity to self-adapt is increasingly essential, particularly for nonexpert managers and autonomous device applications. Cloud Networking (CN) and the Internet of Things (IoT) have arisen as modern outlets for the ICT movement of the 21st century. In this paper, we carry out a survey of nearly 183 articles on which the latest methodologies have been applied. Also, we discuss the proposed approaches and the reported advantages and limitations. The goal of this survey paper is to offer a brief idea to researchers working in this area. In order to consider the present and future challenges of such a framework, it is important to recognize critical innovations that will allow future implementa-tions. This article examines how three new paradigms (cloud computing, IoT, and artificial intelligence) can affect workspace and business. Also, we describe a range of innovations that propel these paradigms and encourage experts to address the current state and perspective directions. © 2023 Scrivener Publishing LLC.
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    Groundwater hydrochemistry of Rajnandgaon district, Chhattisgarh, Central India
    (Elsevier B.V., 2020) Ankit, A.; Nanda, A.; Sahu, B.L.; Sahu, Y.K.; Patel, K.S.; Pervez, S.; Gulgundi, M.S.; Cuchí-Oterino, J.A.; Martín-Ramos, P.; Bhattacharya, P.
    The spreading of fluorosis diseases in Central India related to high concentrations of fluoride ion (F?) is a cause of major concern. In this work, the hydrochemistry of the aquifers related to Seonath River, in Rajnandgaon district, Chhattisgarh state, India, has been studied, focusing on the presence and sources of F?. Hydrochemical parameters were analyzed in the post-monsoon season in 160 wells located in nine tehsils, finding F? concentrations ranging from 0.6 to 18.5 mg L?1. Seasonal variations were also studied in Chhuikhadan tehsil, in which the highest F? values were registered, finding a noticeable enrichment in the pre-monsoon months. In many locations of the district, F? concentrations exceeded the recommended value of 1.5 mg L?1, which have led to the appearance of several health issues. Multidimensional analysis statistical methods were adopted to investigate the sources of F?, and the mineralization of bedrock elements into the groundwater was observed to be the primary source. © 2020 Elsevier B.V.