The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25), Volume 1

Erscheinungsjahr 2025
ISBN: 978-3-032-07335-8
Verlag: Springer

Buch, Englisch, Band 273, 244 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g

Reihe: Lecture Notes on Data Engineering and Communications Technologies

This volume showcases transformative AI research addressing real-world challenges across healthcare, education, law, and digital security. Highlights include explainable deep learning for berry classification, AI-driven communication skill assessment in virtual interviews, and Arabic legal judgment prediction systems. From Quran recitation tools for children and retinal disease diagnosis to DeepFake detection, post-quantum cryptography, and socio-economic impact modeling, these works reflect AI’s growing role in building a smarter, safer, and more inclusive future.

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

Explainable Deep Learning in Berry Classification through Attention Mechanisms and Grad-CAM.- AI-Driven Multimodal Evaluation of Communication Skills in Virtual Interviews.- Monsif: Automated Arabic Legal Judgment Prediction System for Egyptian Criminal Law.- A Novel Dimensionality Reduction Technique Based on Levels Analysis of Partially Ordered Sets.