Frontiers in AI and Computational Technologies

Proceeding of ICONEST 2024

AvAhmed J. Obaid,Zdzisław Polkowski

Inbunden, Engelska, 2025

Del 40 i serien Information Systems Engineering and Management

2 174 kr

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Beskrivning

This book presents recent research on the application of Artificial Intelligence and Computational Technologies, as discussed at the 2nd International Conference on Emerging Trends in AI and Computational Technologies.

Produktinformation

Utgivningsdatum:2025-05-20
Mått:155 x 235 x 29 mm
Vikt:809 g
Format:Inbunden
Språk:Engelska
Serie:Information Systems Engineering and Management
Antal sidor:412
Förlag:Springer International Publishing AG
ISBN:9783031899591

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

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.