Big Data and Security

5th International Conference, ICBDS 2023, Nanjing, China, December 22-24, 2023, Revised Selected Papers, Part I
Herausgegeben:Tian, Yuan; Ma, Tinghuai; Khan, Muhammad Khurram

• Broschiertes Buch

Produktbeschreibung

The two-volume set constitutes the refereed proceedings of the 5th International Conference on Big Data and Security, ICBDS 2023, held in Nanjing, China, during December 22-24, 2023.

The 35 full papers and 1 short paper were carefully reviewed and selected from 161 submissions. They are organized in topical sections as follows:

Part One: Big Data & New Method and Artificial Intelligence & Machine Learning

Part Two: Data Technology & Network Security and IoT Security & Privacy Protection.

Produktdetails

• Communications in Computer and Information Science 2099
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-4386-5
• 2024
• Seitenzahl: 264
• Erscheinungstermin: 21. Juli 2024
• Englisch
• Abmessung: 235mm x 155mm x 15mm
• Gewicht: 406g
• ISBN-13: 9789819743865
• ISBN-10: 9819743869
• Artikelnr.: 70731309

Inhaltsangabe

.- Big Data&New Method.

.- 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.