The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’25), Volume 1 / / edited by Aboul Ella Hassanien, Eman Karam El-Sayed, Ashraf Darwish, Vaclav Snasel

• Autore: Hassanien Aboul Ella
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (380 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Machine learning; Computational Intelligence; Artificial Intelligence; Machine Learning
• Altri autori: El-SayedEman Karam DarwishAshraf SnaselVaclav
• Nota di contenuto: 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.
• Sommario/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.
• Titolo autorizzato: The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’25), Volume 1
• ISBN: 3-032-07336-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911046551003321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes on Data Engineering and Communications Technologies, . 2367-4520 ; ; 273