Tan / Wu / Xu Big Data Technologies and Applications

13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023, Proceedings
1. Auflage 2024
ISBN: 978-3-031-52265-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 555, 192 Seiten, eBook

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the refereed post-conference proceedings of the 13th 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.

Zielgruppe

Research

Autoren/Hrsg.

Tan, Zhiyuan

Wu, Yulei

Xu, Min

Inhaltsverzeichnis

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.