Intelligent IT solutions for sustain...
Shukla, Balvinder.

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  • Intelligent IT solutions for sustainability in Industry 5.0 paradigm = select proceedings of ICEIL 2023 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Intelligent IT solutions for sustainability in Industry 5.0 paradigm/ edited by Balvinder Shukla ... [et al.].
    Reminder of title: select proceedings of ICEIL 2023 /
    remainder title: ICEIL 2023
    other author: Shukla, Balvinder.
    Published: Singapore :Springer Nature Singapore : : 2024.,
    Description: xii, 524 p. :ill., digital ;24 cm.
    [NT 15003449]: Comparative Analysis of Financial Datasets Predictive Modelling Using Feature Extraction Methods -- Extracting Relevant Features for Software Transplantation -- The Role of Generative Artificial Intelligence (GAI) in Education: A Detailed Review for Enhanced Learning Experiences -- A Comparative Analysis and Statistical Inference of Diabetes cases -- A study on Indian Digital Banking Online Customer Experience -- Cancer Detection Techniques: An Overview of Traditional and AI-Based Methods and Their Comparative Analysis -- A novel Classification Scheme for Credit Card Fraud Detection Using Data Mining -- Measuring Impact of Generative AI in Software Development and Innovation -- Tag Tracker: A Smart Asset Tracking Solution -- Implementation of File Tracking Machine to Assess Employee Performance using Web Services System -- Modified modelling of RoF for advanced wireless network for long haul communication -- SafeMeds: Electronic Health Records using Blockchain -- Predictive Analysis of Oil and Gasusing Well Log Data -- Intelligent Irrigation Systems in Agriculture using Fuzzy Logic Techniques -- Parallel Corpus Development using Machine Translation -- Employing Machine Learning Models in Prediction of Harmful gases from Agri-waste -- Participation of cybersecurity practitioners in a cybersecurity CoP in Africa -- Depression Detection using Linear Regression Model -- Impact of Gamification on Student Learning: An Empirical Evidence -- A Review on Diabetes Prediction Using Machine Learning Techniques.
    Contained By: Springer Nature eBook
    Subject: Entrepreneurship - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-97-1682-1
    ISBN: 9789819716821
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