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

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.

Sommario

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.

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Ashraf Darwish (Editore), Ashraf Darwish et al (Editore), Eman Karam El-Sayed (Editore), Aboul Ella Hassanien (Editore), Eman Karam El-Sayed (Editore), Vaclav Snasel (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 22.12.2025
• EAN: 9783032073358
• ISBN: 978-3-0-3207335-8
• Pagine: 244
• Dimensioni: 155 mm x 235 mm x 235 mm
• Peso: 406 g
• Illustrazioni: XIX, 244 p. 122 illus., 97 illus. in color.
• Serie: Lecture Notes on Data Engineering and Communications Technologies
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie; machine learning, Maschinelles Lernen, Artificial Intelligence, Computational Intelligence, Intelligent Systems, Intelligent Informatics, AMLTA 2025