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  • Produktbild: Artificial Intelligence Security and Privacy
  • Produktbild: Artificial Intelligence Security and Privacy
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Artificial Intelligence Security and Privacy First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3–5, 2023, Proceedings, Part II

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61,99 € UVP 71,49 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.02.2024

Abbildungen

XVI, 279 p. 115 illus., 97 illus. in color.

Herausgeber

Jaideep Vaidya + weitere

Verlag

Springer Singapore

Seitenzahl

279

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

452 g

Auflage

1st ed. 2024

Sprache

Englisch

ISBN

978-981-9997-87-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.02.2024

Abbildungen

XVI, 279 p. 115 illus., 97 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

279

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

452 g

Auflage

1st ed. 2024

Sprache

Englisch

ISBN

978-981-9997-87-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Artificial Intelligence Security and Privacy
  • Produktbild: Artificial Intelligence Security and Privacy
  • Application of lattice-based unique ring signature in blockchain transactions.- Rethinking Distribution Alignment for Inter-class Fairness.- Online Learning Behavior Analysis and Achievement Prediction with Explainable Machine Learning.- A Privacy-Preserving Face Recognition Scheme Combining Homomorphic Encryption and Parallel Computing.- A graph-based vertical federation broad learning system.- EPoLORE: Efficient and Privacy Preserved Logistic Regression scheme.- Multi-dimensional Data Aggregation Scheme without a Trusted Third Party in Smart Grid.- Using Micro Videos to Optimize Premiere Software Course Teaching.- The Design and Implementation of Python Knowledge Graph for Programming Teaching.- An Improved Prototypical Network for Endoscopic Grading of Intestinal Metaplasia.- Secure Position-aware Graph Neural Networks for Session-based Recommendation.- Design of a Fast Recognition Method for College Students' Classroom Expression Images Based on Deep Learning.- Research on ALSTM-SVR based Traffic Flow prediction adaptive beacon message Joint control.- An Improved Hybrid Sampling Model for Network Intrusion Detection Based on Data Imbalance.- Using the SGE-CGAM Method to Address Class Imbalance Issues in Network Intrusion Detection.- A Study of Adaptive Algorithm for Dynamic Adjustment of Transmission Power and Contention Window.- Deep learning-based lung nodule segmentation and 3D reconstruction algorithm for CT images.- GridFormer: Grid foreign object detection also requires Transformer.- An Anomaly Detection and Localization Method Based on Feature Fusion and Attention.- Ensemble of Deep Convolutional Network for Citrus Disease Classification using Leaf Images.- PM2.5 Monitoring And Prediction Basing On IOT And RNN Neural Network.- An image zero watermark algorithm based on DINOv2 and multiple cycle transformation.- An image copyright authentication model based on blockchain and digital watermark.