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Big Data and Security 5th International Conference, ICBDS 2023, Nanjing, China, December 22–24, 2023, Revised Selected Papers, Part I

Aus der Reihe Communications in Computer and Information Science
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64,99 € UVP 74,89 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.07.2024

Abbildungen

XIV, 248 p. 97 illus., 75 illus. in color.

Herausgeber

Yuan Tian + weitere

Verlag

Springer Singapore

Seitenzahl

248

Maße (L/B/H)

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

Gewicht

406 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9743-86-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.07.2024

Abbildungen

XIV, 248 p. 97 illus., 75 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

248

Maße (L/B/H)

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

Gewicht

406 g

Auflage

2024

Sprache

Englisch

ISBN

978-981-9743-86-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Big Data and Security
  • Produktbild: Big Data and Security

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    Big Data&New Method
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    .- Recurrent Age Recognition based on Manifold Learning.


    .- Big Data Intelligence Empowered Specialized Disciplines Development Pattern Recognition in Power Industry Universities.


    .- A Survey on Real-time Semantic Segmentation Based on Deep Learning.


    .- A Clustering Method for Distribution Network Load Curve Based on Fast DDTW.


    .- Object Detection Model Based on Attention Mechanism.


    .- Gas Pressure Prediction and Application with Missing Data Imputation Techniques for Gas Regulator Data.


    .- Advances, Patterns and Future Potential of Big Data Technology Research for New Energy Sources and Energy Storage Systems.


    .- Construction of Enterprise Capital Allocation Efficiency Model Based on Fuzzy Clustering Algorithm.


    .-
    Artificial Intelligence&Machine Learning
    .


    .- Analysing Potential of ResNet for Transfer Learning with Stochastic Depth.


    .- A Survey of Research Progresses on Instance Segmentation Based on Deep Learning.


    .- Charting the Landscape of Multi-view Stereo: An In-depth Exploration of Deep Learning Techniques.


    .- A Survey of Federated Learning: Review,Attacks, Defenses.


    .- ROMA: Reverse Model-based Data Augmentation for Offline Reinforcement Learning.


    .- Application Research of Digital Intelligence Technology in Mining Electric Power Equipment Fault Cases: Taking Text Mining     Technology as an Example.


    .- Deep Learning-Based Attribute Graph Clustering: An Overview.


    .- Construction of demand forecasting model of human resources professional structure based on deep learning.


    .- Financial management and early warning system of non profit organizations based on artificial neural network.