The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25), Volume 2

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Details

This volume explores the forefront of AI innovation in building secure, sustainable, and intelligent systems. From adaptive blockchain solutions for IoT and advances in photonic quantum computing to DNS-based cyber defense and disaster-resilient sensor networks, the research presented addresses critical challenges in digital infrastructure. Additional highlights include AI-driven environmental forecasting, assistive technologies for dyslexia, and machine learning applications in law enforcementdemonstrating AI's expanding role in safeguarding infrastructure, optimizing resources, and advancing societal resilience.


Includes recent research on Advanced Machine Learning and Applications Proceedings of the 9th International Conference on Advanced Machine Learning Technologies and Applications Written by experts in the field

Inhalt

YOLO-ViT: A Hybrid Deep Learning Model for Eye Disease Classification .- Machine Learning-Driven Adaptive Blockchain Security for IoT Devices.- Design of a Command Control Server Searching System Centered around DNS Analyses.- Enhancing OTP-Vote: Strengthening End-to-End Verifiability and Auditability with Machine Learning Techniques.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783032073259
    • Genre Technology Encyclopedias
    • Editor Aboul Ella Hassanien, Eman Karam El-Sayed, Ashraf Darwish, Vaclav Snasel
    • Lesemotiv Verstehen
    • Anzahl Seiten 264
    • Herausgeber Springer
    • Größe H235mm x B155mm x T15mm
    • Jahr 2025
    • EAN 9783032073259
    • Format Kartonierter Einband
    • ISBN 3032073251
    • Veröffentlichung 16.10.2025
    • Titel The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25), Volume 2
    • Untertitel Lecture Notes on Data Engineering and Communications Technologies 274
    • Gewicht 406g
    • Sprache Englisch

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