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Adaptive Resonance Theory in Social Media Data Clustering [[electronic resource] ] : Roles, Methodologies, and Applications / / by Lei Meng, Ah-Hwee Tan, Donald C. Wunsch II
| Adaptive Resonance Theory in Social Media Data Clustering [[electronic resource] ] : Roles, Methodologies, and Applications / / by Lei Meng, Ah-Hwee Tan, Donald C. Wunsch II |
| Autore | Meng Lei |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (200 pages) |
| Disciplina | 005.7 |
| Collana | Advanced Information and Knowledge Processing |
| Soggetto topico |
Data mining
Algorithms Cognitive psychology Pattern recognition Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity Cognitive Psychology Pattern Recognition |
| ISBN | 3-030-02985-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Theories -- Introduction -- Clustering and Extensions in the Social Media Domain -- Adaptive Resonance Theory (ART) for Social Media Analytics -- Part II: Applications -- Personalized Web Image Organization -- Socially-Enriched Multimedia Data Co-Clustering -- Community Discovery in Heterogeneous Social Networks -- Online Multimodal Co-Indexing and Retrieval of Social Media Data -- Concluding Remarks. |
| Record Nr. | UNINA-9910337839003321 |
Meng Lei
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Cloud Computing and Computer Networks [[electronic resource] ] : CCCN 2023 / / edited by Lei Meng
| International Conference on Cloud Computing and Computer Networks [[electronic resource] ] : CCCN 2023 / / edited by Lei Meng |
| Autore | Meng Lei |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (144 pages) |
| Disciplina | 004.6782 |
| Collana | Signals and Communication Technology |
| Soggetto topico |
Telecommunication
Computer networks Computational intelligence Communications Engineering, Networks Computer Communication Networks Computational Intelligence |
| ISBN | 3-031-47100-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I- Chapter 1. Application of convolutional neural networks for the detection of diseases in the CCN-51 cocoa fruit by means of a mobile application -- Chapter 2. Target Detection Algorithm of Forward Looking Sonar Based on Swin Transformer -- Chapter 3. An Optimization Strategy for Efficient Facial Landmark Detection Based on Improved Pixel-in-pixel Net Model -- Chapter 4. Nonlinear Filter Combined Regularization of Compressed Sensing for CT Image Reconstruction -- Part II- Chapter 5. Vulnerabilities in Office Printers, Multifunction Printers (MFP), 3D Printers and Digital Copiers, A gateway to breach our enterprise network -- Chapter 6. Provisioning Deep Learning Inference on a Fog Computing Architecture -- Chapter 7. A Comparative Analysis of VPN Applications and Their Security Capabilities Towards Security Issues -- Chapter 8. Improved Grey Wolf Optimization Algorithm Based on Logarithmic Inertia Weight -- Chapter 9. Radio Frequency Identification Vulnerabilities: An Analysis on RFID-Related Physical Controls in an Infrastructure -- Part III- Chapter 10. Analysis of Bee Population and the Relationship with Time -- Chapter 11. Synthetic speech data generation using Generative Adversarial Networks -- Chapter 12. Prediction of bee population and number of beehives required for pollination of a 20-acre parcel crop. |
| Record Nr. | UNINA-9910805584703321 |
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Meng Lei
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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