Scopes
(Topics include but are not limited to)
Artificial Intelligence Algorithm
natural language processing
fuzzy logic
Computer Vision and Image Understanding
Signal and image processing
Speech and Natural Language Processing
Computational Learning Theory
Information Retrieval and Fusion
Hybrid intelligent system
Intelligent System Architecture
knowledge representation
Knowledge-based system
Mechatronics integration
Multimedia and Cognitive Informatics
Parallel processing of artificial neural networks
pattern recognition
Ubiquitous computing and environmental intelligence
Soft Computing Theory and Applications
Software and hardware architecture
automatic programming
machine learning
Width learning system
machine learning
Deep Learning
Reinforcement learning
Learning Transfer
knowledge graph
Path planning
Transfer learning
Generative Adversarial Networks
Adversarial learning
Dual learning
Distributed Learning
Deep neural network
Convolutional Neural Network
Generative Adversarial Networks
Recursive neural network
Neural Network Architecture
Neural Symbol Hybrid Model
Interpretability and Visualization Methods of Neural Networks
Analysis and research of neural networks in fields such as healthcare, finance, and energy
Artificial Intelligence Algorithm
natural language processing
fuzzy logic
Computer Vision and Image Understanding
Signal and image processing
Speech and Natural Language Processing
Computational Learning Theory
Information Retrieval and Fusion
Hybrid intelligent system
Intelligent System Architecture
knowledge representation
Knowledge-based system
Mechatronics integration
Multimedia and Cognitive Informatics
Parallel processing of artificial neural networks
pattern recognition
Ubiquitous computing and environmental intelligence
Soft Computing Theory and Applications
Software and hardware architecture
automatic programming
machine learning
Width learning system
machine learning
Deep Learning
Reinforcement learning
Learning Transfer
knowledge graph
Path planning
Transfer learning
Generative Adversarial Networks
Adversarial learning
Dual learning
Distributed Learning
Deep neural network
Convolutional Neural Network
Generative Adversarial Networks
Recursive neural network
Neural Network Architecture
Neural Symbol Hybrid Model
Interpretability and Visualization Methods of Neural Networks
Analysis and research of neural networks in fields such as healthcare, finance, and energy
Important Dates/重要日期
- Submission Deadline: 2025.3.24
- Registration Deadline: 2025.3.29
- Conference Date: 2025.4.13
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: sk_dhaei@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
张老师
+86-17162863232(微信同号)
3771563441
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