Search Results - "Bhardwaj, Arvind Kumar"

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  1. 1

    Gaining an Understanding of DevOps from its Enablers to Its Impact on Performance by Bhardwaj, Arvind Kumar, Rangineni, Sandeep

    “…Despite these efforts' merit, academics have had trouble keeping up with the radical shifts in how software is created and supplied to clients. DevOps has…”
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    Journal Article
  2. 2

    Analysis Of DevOps Infrastructure Methodology and Functionality of Build Pipelines by Rangineni, Sandeep, Bhardwaj, Arvind Kumar

    “…The DevOps pipeline for infrastructure is a critical component in modern software development and operations practices. It involves automating the…”
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    Journal Article
  3. 3

    Proximate composition and mineral content analysis of Curcuma caesia rhizome by Bhardwaj, Arvind Kumar, Kashyap, Nand Kumar, Bera, Sanjoy Kumar, Hait, Milan, Dewangan, Harishankar

    Published in Biochemical systematics and ecology (01-08-2023)
    “…In Ayurveda, Curcuma caesia Roxb. (Zingiberaceae) plants are used as medicines and nutritional supplements. Because of its variety of phytochemicals and…”
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    Journal Article
  4. 4

    Managing the full Lifecycle of Power Information Systems using HCSOA based LSTM-GRU Model in DevOps practices by Bhardwaj, Arvind Kumar, Hs, Sameena, Pareek, Piyush Kumar, Bhujang, Raghavi K, Khan, Zabiha, Srinivas, Chetana

    “…The traditional power information scheme operating construction is under the management process, DevOps model power data prediction is performed in this study…”
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    Conference Proceeding
  5. 5

    Designing a ARRHHO with MCFSA-CNN based Models for DevOps practices in Software Organizations by Bhardwaj, Arvind Kumar, Hs, Sameena, Pareek, Piyush Kumar, Bhujang, Raghavi K, Khan, Zabiha, Srinivas, Chetana

    “…Best practises for deploying DevOps have been identified through study utilising the freely accessible HELENA2 dataset. Additionally, an adaptive relative…”
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    Conference Proceeding
  6. 6

    Hybrid Whale Optimization based Bidirectional Gated Recurrent Unit with Pre-trained CNN model for Software Fault Detection by Bhardwaj, Arvind Kumar, Hs, Sameena, Pareek, Piyush Kumar, Bhujang, Raghavi K, Khan, Zabiha, Srinivas, Chetana

    “…The deep learning model (DL) S-ResNet-152 (Squeeze-based ResNet-152) is used to pull out the features. Then, a bidirectional gated auto network (Bi-GRU-AN) is…”
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    Conference Proceeding
  7. 7