Computational methods and data engin...
Asari, Vijayan K.

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  • Computational methods and data engineering = proceedings of ICCMDE 2021 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computational methods and data engineering/ edited by Vijayan K. Asari ... [et al.].
    Reminder of title: proceedings of ICCMDE 2021 /
    remainder title: ICCMDE 2021
    other author: Asari, Vijayan K.
    corporate name: International Conference on Computational Methods and Data Engineering
    Published: Singapore :Springer Nature Singapore : : 2023.,
    Description: xii, 576 p. :ill., digital ;24 cm.
    [NT 15003449]: Chapter 1. A Graph Based Extractive Assamese Text Summarization -- Chapter 2. Internet of Things (IoT) for Secure Data and M2M Communications -- Chapter 3. Deveelopment of Walking Assistants for Visually Challenged Person -- Chapter 4. A PERFORMANCE STUDY OF PREDICTION MODELS FOR DIABETES PREDICTION USING MACHINE LEARNING -- Chapter 5. Orthopantomogram (OPG) Image Analysis using Bounding Box Algorithm -- Chapter 6. Design and Analysis of an Improved Artificial Neural Network Controller for the Energy Efficiency Enhancement of Wind Power Plant -- Chapter 7. Detection of Renal Calculi using Convolutional Neural Networks -- Chapter 8. Question Answering and Text Generation using BERT and GPT-2 Model -- Chapter 9. Improved Lenet Model for Flower Classification Using GPU Computing -- Chapter 10. Distributed computing over the Next Generation Mobile Communication Network (NGMCN) is an emerging technology -- Chapter 11. The ELF Tribe: Redefining Primary Education in a Post-COVID Era -- Chapter 12. An Extreme Machine Learning Mdel for Evaluating Landslide Hazard Zonation in Nilgiris District, Causative Factors and Risk Assessment using Earth Observation Techniques -- Chapter 13. Analysis of Cross-Site Scripting Vulnerabilities in Various Day-to-Day Web Applications -- Chapter 14. Detecting Cyberbullying with text classification using 1DCNN and Glove Embeddings -- Chapter 15. A Bayesian Network Based Software Requirement Complexity Prediction Model.
    Contained By: Springer Nature eBook
    Subject: Computational intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-19-3015-7
    ISBN: 9789811930157
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