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Record Nr. |
UNINA9910910497503321 |
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Autore |
Garcia Fausto P |
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Titolo |
Recent Trends and Advances in Artificial Intelligence : Selected Papers from ICAETA-2024 / / edited by Fausto P. Garcia, Akhtar Jamil, Alaa Ali Hameed, Alessandro Ortis, Isaac Segovia Ramirez |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (931 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1138 |
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Altri autori (Persone) |
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JamilAkhtar |
HameedAlaa Ali |
OrtisAlessandro |
RamirezIsaac Segovia |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Machine learning |
Internet of things |
Computational Intelligence |
Artificial Intelligence |
Machine Learning |
Internet of Things |
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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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Assessing Cybersecurity Threats The Application of NLP in Advanced Threat Intelligence Systems -- Evaluation of CNNs for Wildcats Classification in Real World Scenario -- Breaking New Ground in HAR with Enhanced Weighted k NN Algorithm -- Unleashing Student Triumph Unraveling the Dynamic Link between State Funding, Academic Excellence and Financial Prosperity in the Digital Era. |
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Sommario/riassunto |
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This book presents a curated selection of papers from the International Conference on Advanced Engineering, Technology, and Applications (ICAETA24), hosted by the University of Catania, Italy, in March 2024. The conference is co-organized by Istinye University, Turkey. The book |
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delves into the forefront of technological advancements, spotlighting the latest trends and applications of artificial intelligence across diverse domains and addressing real-world challenges with transformative solutions. Readers will gain insights into state-of-the-art models and methodologies, particularly focusing on their applications on benchmark datasets. The discussions and presentations within this volume are organized around four pivotal tracks: Artificial Intelligence and Machine Learning, Big Data and Cloud Computing, Internet of Things and Sensor Technology, and Applications of Artificial Intelligence. Each track offers a deep dive into its respective domain, exploring the profound impact of technological innovations on various industries and sectors. |
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