Titlebook: Big Data Technologies and Applications; 13th EAI Internation Zhiyuan Tan,Yulei Wu,Min Xu Conference proceedings 2024 ICST Institute for Com

縮短

An Auditable Framework for Evidence Sharing and Management Using Smart Lockers and Distributed Techn File System (IPFS). The system incorporates Hyperledger Fabric blockchain for immutability and tamper-proof record keeping and employs cryptographic measures to protect the confidentiality of shared and stored evidence. IPFS is employed for secure and efficient storage of digital evidence, while sm

Commission

A Review of?the?Non-Fungible Tokens (NFT): Challenges and?Opportunities NFTs have the potential to hugely influence both the decentralised markets that exist now and the commercial possibilities that will arise in the future. While there is a wealth of information about NFTs accessible, NFTs are still in an early stage, and some potential obstacles need to be properly

矛盾心理

Research on Preprocessing Process for Improved Image Generation Based on Contrast Enhancementove the quality of learning image data and achieve high performance. To address this, the paper proposes a contrast-enhanced image generation preprocessing process that can improve image quality and mitigate the effects of poor lighting conditions.

CLAIM

Conference proceedings 20242023, 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 mini

Endoscope

Allodynia

Opponent

地殼

Forest Fire Prediction Using Multi-Source Deep Learningdel was 0.856. The results showed that the multi-source model performed similarly to the best-performing single-source model (weather) with a 60% reduction in training data. The multi-source model had a negligible impact from the poor-performing single-source model (hydrometric).

令人不快

dysphagia

1867-8211 s 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.978-3-031-52264-2978-3-031-52265-9Series ISSN 1867-8211 Series E-ISSN 1867-822X