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ALDLNN 2024: The 2024 International Conference on Artificial Intelligence, Deep Learning and Neural Networks Guangzhou, China, July 26-28, 2024 |
The 2024 International Conference on Artificial Intelligence, Deep Learning and Neural Networks (ALDLNN 2024) will be held in Guangzhou, China during July 26-28, 2024. It aims to provide a forum for researchers, practitioners, and professionals from both the industry and the academia to share their latest research findings and results. The conference calls for high-quality, original research papers in the theory and practice of Artificial Intelligence, Deep Learning and Neural Networks. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in networking and information technologies.
Call for Papers
Artificial Intelligence |
Deep Learning |
Neural Networks |
- AI Algorithms
- Natural Language Processing
- Fuzzy Logic
- Computer Vision and Image Understanding
- Signal and Image Processing
- Speech and Natural Language Processing
- Computational Theories of Learning
- Information Retrieval and Fusion
- Hybrid Intelligent Systems
- Intelligent System Architectures
- Knowledge Representation
- Knowledge-based Systems
- Mechatronics
- Multimedia & Cognitive Informatics
- Parallel Processing
- Pattern Recognition
- Pervasive Computing and Ambient Intelligence
- Soft Computing Theory and Applications
- Software & Hardware Architectures
- Automatic Programming
- Machine Learning
- Automatic Control
- Data Mining and Machine Learning Tools
- Robotics
- Artificial Intelligence Tools & Application
- Recent Trends and Developments
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- Neuro-Fuzzy Algorithms
- Evolutionary Methods
- Convolutional Neural Networks (CNN)
- Deep Hierarchical Networks (DHN)
- Unsupervised Feature Learning
- Deep Boltzmann Machines
- Generative Adversarial Networks (GAN)
- Deep Metric Learning Methods
- Deep Reinforcement Learning
- Learning Deep Generative Models
- Graph Representation Learning
- Active learning
- Agent-based learning
- Manifold learning
- Multi-task learning
- Statistical models and learning
- Computational learning
- Evolutionary algorithms and learning
- Fuzzy logic-based learning
- Parallel and distributed learning
- Deep Learning for Computing and Network Platforms
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- Convolutional neural networks
- Hebbian theory
- Long short term memory
- Residual neural networks
- Self-organizing feature maps
- Biological neural networks
- Cellular neural networks
- Feedforward neural networks
- Extreme learning machines
- Multilayer perceptions
- Graph neural networks
- Multi-layer neural network
- Neural network hardware
- Radial basis function networks
- Recurrent neural networks
- Hopfield neural networks
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Contact
Email : ic-aldlnn@outlook.com
Tel : +86-13802543330 |
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