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Big Data Technologies and Applications

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Cover of 'Big Data Technologies and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 CTL-I: Infrared Few-Shot Learning via Omnidirectional Compatible Class-Incremental
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    Chapter 2 Can Federated Models Be Rectified Through Learning Negative Gradients?
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    Chapter 3 BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph
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    Chapter 4 STLGCN: Spatial-Temporal Graph Convolutional Network for Long Term Traffic Forecasting
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    Chapter 5 Image Forgery Detection Using Cryptography and Deep Learning
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    Chapter 6 Revocable Attribute-Based Encryption Scheme with Cryptographic Reverse Firewalls
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    Chapter 7 IoT Attacks Countermeasures: Systematic Review and Future Research Direction
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    Chapter 8 A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence
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    Chapter 9 Forest Fire Prediction Using Multi-Source Deep Learning
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    Chapter 10 Research on Preprocessing Process for Improved Image Generation Based on Contrast Enhancement
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    Chapter 11 An Auditable Framework for Evidence Sharing and Management Using Smart Lockers and Distributed Technologies: Law Enforcement Use Case
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    Chapter 12 A Review of the Non-Fungible Tokens (NFT): Challenges and Opportunities
Attention for Chapter 12: A Review of the Non-Fungible Tokens (NFT): Challenges and Opportunities
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