Call for Papers


Call for Papers

Blockchain is a distributed database technology that connects data blocks in an orderly manner and ensures its tamper ability and forgery by means of cryptography. Generally speaking, blockchain technology can realize the openness, transparency, tamper ability, forgery and traceability of all data information in the system without the endorsement of a third party. As a kind of underlying protocol or technical solution, blockchain can effectively solve the trust problem and realize the free transfer of value. It has a broad prospect in the fields of digital currency, financial assets transaction settlement, digital government affairs, security data services and so on. Topics of interest for submission include, but are not limited to:

ARTIFICIAL INTELLIGENCE

Intelligent networks
Deep Learning, Machine Learning, and AI Algorithms
Machine Learning and Data Mining
Natural Language Processing
Deep/ Reinforcement Learning
Decision Support Systems
Genetic Algorithms and Swarm Optimization
Application of AI in Big Data
Explainable Artificial Intelligence and Intelligent Systems
Intelligent Transportation Systems
Human-Machine Interaction
Business Intelligence and Data Analytics
AI in Robotics
Image processing and Computer Vision

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BLOCKCHAIN TECHNOLOGIES

Blockchain for Internet of Things
Blockchain for Cyber Physical Services
Blockchain for Social Media Platforms
Blockchain and Artificial Intelligence
Smart Contracts and Verification
Security, Privacy, Attacks, and Forensics
Decentralized Internet Infrastructure
Blockchain-based Digital Twins For Parallel Governance
Blockchain-based Digital Twins For Cyber Resilient Auto Industry
Open-Source Platforms For Implementing Blockchain
Sustainable Blockchain-Based Digital Twins Manufacturing
Architectures and Platforms For Blockchain

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GENERATIVE AI AND APPLICATION

Unsupervised Learning with VAEs
Diffusion Models for Image Synthesis
Next-Gen Text Generation with Transformers
Generative Models in Drug Discovery
Reinforcement Learning and Generative Models
Retrieval Augmented Generation
Synthetic Data for Privacy Enhancement
Scalability and Efficiency in Generative Models
Multi-Modal Generative Models
Generative Models for Anomaly Detection
Generative AI in Fashion and Design
Ethical Issues in Gen AI

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