Search Results - "Aswini, J."

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  1. 1

    An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine by Aswini, J., Yamini, B., Jatothu, Rajaram, Nayaki, K. Sankara, Nalini, M.

    Published in Concurrency and computation (01-05-2022)
    “…Cloud computing is the on‐demand access to computer resources such as applications, servers, data storage, development tools, networking capabilities, and…”
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    Journal Article
  2. 2
  3. 3

    Anthracnose Blight Phytophthora Cucumber leaf Prediction through Six Convolutional ADAM Optimized Deep Convolutional Neural Network by Malarvizhi, N, Devi, M. Shyamala, Aswini, J., Manikanta, Manikanta

    “…Infections that harm the leaves of cucumber plants are referred as cucumber leaf diseases. These ailments can reduce cucumber yields significantly and have a…”
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    Conference Proceeding
  4. 4

    Hybrid Feature Selection Approach for Naive Bayes to Improve Consumer Behavior Analysis by Maheswari, B., Aswini, J, Anita, M.

    “…Consumer behavior research in the banking firms is critical in recognizing consumer expectations as well as identifying potential risk customers of bank…”
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    Conference Proceeding
  5. 5

    Functional overview of integration of AIML with 5G and beyond the network by Srinivas, Kolli, Aswini, J, Patro, Pramoda, Kumar, Devendra

    “…4 G/LTE mobile networks resolved this issue. Strong physical layer and adaptable network design enable high-capacity mobile broadband Internet. Despite this,…”
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    Conference Proceeding
  6. 6

    Customer Analysis using Machine Learning with Feature Selection Approaches: A Comparative Study by Subramanian, R. Siva, Aswini, J., Bushra, S. Nikkath, Nirmala, G., Maheswari, B.

    “…In every enterprise, the customer is the focal point of the business, and it is essential to comprehend how customer satisfaction with the enterprise's product…”
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    Conference Proceeding
  7. 7

    A Survey on Alleviating the Naive Bayes Conditional Independence Assumption by Prabha, D., Aswini, J., Maheswari, B., Subramanian, R.Siva, Nithyanandhan, R., Girija, P.

    “…Naive Bayes (NB) is a simple and effective probabilistic classification method based on the Bayes theorem. NB method is used in a wide variety of real-world…”
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    Conference Proceeding
  8. 8

    A Comprehensive Survey on Naive Bayes Algorithm: Advantages, Limitations and Applications by Pajila, P.J.Beslin, Sheena, B.Gracelin, Gayathri, A., Aswini, J., Nalini, M., R, Siva Subramanian

    “…A well-known and frequently used machine learning method, the Naive Bayes algorithm has attracted a lot of interest in a number of fields. The Naive Bayes…”
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    Conference Proceeding
  9. 9

    Alleviating the Naive Bayes Assumption using Filter Approaches by Subramanian, R. Siva, Girija, P., Sudha, K., Aswini, J., SivaKumar, S., Nattesan, N. V. S.

    “…Particularly compared to other machine learning algorithms, the Naive Bayes algorithm is notable for its widespread application in a wide range of…”
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    Conference Proceeding
  10. 10

    Mantaray Foraging Optimization based Makespan Enhancement in Cloud based Scheduling Environment by Aswini, J, Elma, K. Johny, John Augustine, P., Kopperundevi, N., Chithra, S. M., Parasuraman, T.

    “…Cloud computing (CC) delivers on-demand and powerful business environments. It can be constructed on top of virtualized data hubs. Virtualization renders a…”
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    Conference Proceeding
  11. 11

    Stock Market Forecasting Using LSTM by Aswini, J., S, Dinesh, Lakshmipriya, C., M, Lokesh Krishnaa, R, Siva Subramanian

    “…In this research paper, a novel methodology for forecasting stock market trends is presented: the utilization of Long Short-Term Memory networks, which are a…”
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    Conference Proceeding
  12. 12

    Translation System for the Visually Impaired from English to Braille by Aswini, J., Krishnaa M, Lokesh, Lakshmipriya, C., Lavanya, G., R, Siva Subramanian

    “…The amount of information in the modern world is huge and is growing at a rapid speed because of new technological advancements and new researches being…”
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    Conference Proceeding
  13. 13

    Revolutionizing Cardiovascular Care: The Role of AI, ML, and DL in Early Heart Disease Prediction and Treatment by Selvi, D.M.Kalai, Aswini, J., Balakrishnan, C, Suganya, K., Sheena, B.Gracelin, R, Siva Subramanian

    “…Heart disease is one of the most common and critical health issues around the world, which makes to many deaths and illnesses. To effectively combat this…”
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    Conference Proceeding