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Record Nr. |
UNINA9911047689703321 |
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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 2 / / 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 (364 pages) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies, , 2367-4520 ; ; 274 |
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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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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. |
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Sommario/riassunto |
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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 |
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applications in law enforcement—demonstrating AI’s expanding role in safeguarding infrastructure, optimizing resources, and advancing societal resilience. . |
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