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Record Nr. |
UNINA9910799251203321 |
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Autore |
Swaroop Abhishek |
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Titolo |
Proceedings of Data Analytics and Management : ICDAM 2023, Volume 4 / / edited by Abhishek Swaroop, Zdzislaw Polkowski, Sérgio Duarte Correia, Bal Virdee |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (550 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 788 |
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Altri autori (Persone) |
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PolkowskiZdzislaw |
CorreiaSérgio Duarte |
VirdeeBal |
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Disciplina |
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Soggetti |
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Computational intelligence |
Telecommunication |
Data protection |
Computational Intelligence |
Communications Engineering, Networks |
Data and Information Security |
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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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Chapter 1: Deep Spectral Feature Representations via Attention Based Neural Network Architectures for Accented Malayalam Speech - A Low-Resourced language -- Chapter 2: Improving Tree Based Convolutional Neural Network Model for Image Classification -- Chapter 3: Smartphone Malware Detection based on Enhanced Correlation-based Feature Selection on Permissions -- Chapter 4: Fake News Detection Using Ensemble Learning Models -- Chapter 5: Ensemble Approach for Suggestion Mining Using Deep Recurrent Convolutional Networks -- Chapter 6: A CNN Based Self-Attentive approach to Knowledge Tracing -- Chapter 7: LIPFCM: Linear Interpolation-Based Possibilistic Fuzzy C-Means Clustering Imputation method for handling Incomplete data -- Chapter 8: Experimental Analysis of Two Wheeler Headlight Illuminance Data from the Perspective of Traffic Safety -- Chapter 9: Detecto: The Phishing Website Detection -- Chapter 10: Synergizing Voice Cloning |
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and ChatGPT for Multimodal Conversational Interfaces. etc. |
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Sommario/riassunto |
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This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes. |
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