Frontiers in AI and computational te...
International Conference on Emerging Trends in AI and Computational Technologies (2024 :)

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  • Frontiers in AI and computational technologies = proceeding of ICONEST 2024 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Frontiers in AI and computational technologies/ edited by Ahmed J. Obaid ... [et al.].
    Reminder of title: proceeding of ICONEST 2024 /
    remainder title: ICONEST 2024
    other author: Obaid, Ahmed J.
    corporate name: International Conference on Emerging Trends in AI and Computational Technologies
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xix, 412 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Blockchain Technology for Collaborative Research - A Qualitative Analysis -- Novel Image Quality Index: Integrating UQI and GSI for Enhanced Quality Assessment -- Detecting Cyber Attacks Using Deep Learning: An Empirical Study on Network Traffic Data -- Transitioning to Renewables: Forecasting the U.S. Energy Shift and Its Impact on Emissions and Climate -- Anomaly Detection on Abrupt Climate Change Using AI Techniques -- Sustainable Finance Echelon Futurism: Vanguard Visionaries' Financial Mastery for Organizational Excellence and Business Prosperity -- The Ecological Footprint as an Indicator of Living Standards: The Relationship between Consumption Patterns and Environmental Sustainability -- Landscape View of Improving Transparencies in Agricultural Supply Chain Using Blockchain Technology -- Development of Assessment Rubric Performance of Competency Managing Receivable -- New Hybrid Approach to Credit Card Fraud Detection Using CNN and Machine Learning Techniques -- IMSMDL: Design and implement an Information Management System for Medical Diagnostic Laboratories -- Artificial Intelligence in Education: A Systematic Review for Learning Techniques -- Advanced Facial Recognition System: Integrating Gabor, Fourier, and Histogram of Oriented Gradients for Superior Feature Extraction -- Generating an MF from the Dynamical Compose for RASP's Wavelet Frame in a master system for a Fuzzy-Chaos-based model for Encryption Function -- On Sophisticated Technique Via DH-Transform.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-89960-7
    ISBN: 9783031899607
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