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Record Nr. |
UNINA9911046551003321 |
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Autore |
Hassanien Aboul Ella |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (380 pages) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies, , 2367-4520 ; ; 273 |
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Altri autori (Persone) |
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El-SayedEman Karam |
DarwishAshraf |
SnaselVaclav |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Machine learning |
Computational Intelligence |
Artificial Intelligence |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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works reflect AI’s growing role in building a smarter, safer, and more inclusive future. |
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