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Record Nr. |
UNINA9911049159703321 |
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Autore |
Agrawal Arun Prakash |
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Titolo |
Advances of Artificial Intelligence and Machine Learning in Image Processing, Security and Data Analytics : Select Proceedings of ICAAAIML 2023, Volume 2 / / edited by Arun Prakash Agrawal, Hari Mohan Pandey, Om Pal |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : 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 (596 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1464 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computational intelligence |
Machine learning |
Artificial Intelligence |
Computational 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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A Comparative Study of K-Means Clustering Based Image Segmentation Methods -- Convolutional Neural Network based Deep Learning Method for Fruit Classification -- Exploring the Role of Deep Learning and Explainable AI in Android Malware Detection: A Systematic Review -- Network Intrusion Detection using LSTM-based Models -- Advantages of generative AI in Image Processing. |
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Sommario/riassunto |
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The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2023. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, |
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software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications. |
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