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

Erscheinungsjahr 2025
ISBN: 978-3-032-07325-9
Verlag: Springer

Buch, Englisch, Band 274, 240 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g

Reihe: Lecture Notes on Data Engineering and Communications Technologies

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 enforcement—demonstrating AI’s expanding role in safeguarding infrastructure, optimizing resources, and advancing societal resilience.

Zielgruppe

Research

Autoren/Hrsg.

Hassanien, Aboul Ella

El-Sayed, Eman Karam

Darwish, Ashraf

Snasel, Vaclav

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

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.