Big Data Technologies and Applications (eBook, PDF)

13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023, Proceedings
Redaktion: Tan, Zhiyuan; Xu, Min; Wu, Yulei

• Format: PDF

Produktbeschreibung

This book constitutes the refereed post-conference proceedings of the 13^th International Conference on Big Data Technologies and Applications, BDTA 2023, held in Edinburgh, United Kingdom, in August 2023. The 8 full papers and 3 short papers of BDTA 2023 were selected from 23 submissions and present new advances and research results in the fields of big data technologies, collection and storage, big data management and retrieval, big data mining and approaches.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 192
• Erscheinungstermin: 30. Januar 2024
• Englisch
• ISBN-13: 9783031522659
• Artikelnr.: 69878457

Inhaltsangabe

Infrared Few-shot Learning via Omnidirectional Compatible Class-Incremental.- Can Federated Models be Rectified through Learning Negative Gradients? .- BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph.- STLGCN: spatial-temporal Graph Convolutional Network for Long Term Tra ic Forecasting.- Image Forgery Detection using Cryptography and Deep Learning.- Revocable Attribute-based Encryption Scheme With Cryptographic Reverse Firewalls.- IoT Attacks Countermeasures: Systematic Review and Future Research Direction.- A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence.- Forest Fire Prediction using Multi-Source Deep Learning.- Research on Preprocessing process for Improved image generation based on Contrast Enhancement.- An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case. A Review of the Non-Fungible Tokens (NFT): Challenges and Opportunities.