The 22nd International Conference on Information Technology-New Generations (ITNG 2025) / / edited by Shahram Latifi
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| Titolo: |
The 22nd International Conference on Information Technology-New Generations (ITNG 2025) / / edited by Shahram Latifi
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (XVI, 767 p. 233 illus., 173 illus. in color.) |
| Disciplina: | 006.3 |
| Soggetto topico: | Artificial intelligence |
| Computer networks | |
| Cooperating objects (Computer systems) | |
| Data mining | |
| Software engineering | |
| Artificial Intelligence | |
| Computer Communication Networks | |
| Cyber-Physical Systems | |
| Data Mining and Knowledge Discovery | |
| Software Engineering | |
| Persona (resp. second.): | LatifiShahram |
| Nota di contenuto: | Adaptive GAN-Based Defense Against Data Poisoning in Federated Learning -- Password Security in Practice: An Appraisal Using Users' Perception and Machine Learning -- Security and Privacy for LLMs and LMMs Across Key Sectors: A Literature Survey -- Malicious URL Detection Using Machine Learning -- Zero-day Malware detection using Fine-Tuned MobileNetV2 and Open-set Classification. |
| Sommario/riassunto: | This book covers technical contributions that have been submitted, reviewed and presented at the 22nd annual event of International conference on Information Technology: New Generations (ITNG) The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security and health care are among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. |
| Titolo autorizzato: | The 22nd International Conference on Information Technology-New Generations (ITNG 2025) |
| ISBN: | 9783031890635 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911002549003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Advances in Intelligent Systems and Computing, . 2194-5365 ; ; 1463