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NTCI 2026 : 8th International Conference on New Trends in Computational Intelligence

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Link: https://www.ntci.org/home_2026
 
When Nov 6, 2026 - Nov 8, 2026
Where Jinzhou, China
Submission Deadline Sep 1, 2026
Notification Due Oct 8, 2026
Final Version Due Oct 15, 2026
Categories    computational intelligence   neural networks   evolutionary learning   bayesian methods
 

Call For Papers

The 8th International Conference on New Trends in Computational Intelligence (NTCI 2026) will be held in Jin'zhou, China during November 6-8, 2026.

Following the successes of previous events, NTCI 2026 aims to bring top researchers and practitioners working in different facets of computational intelligence (CI) under one umbrella to share their knowledge and enable mutual exchange of information. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.
More information on the Conference may be found at https://www.ntci.org/.

Prospective authors are invited to contribute high-quality papers to NTCI 2026. In addition, proposals for special sessions within the technical scope of the conference are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers on special focused topics. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers.

Researchers interested in organizing special sessions are invited to submit formal proposals to ntci_cis@163.com

List of Topics

MODEL & ALGORITHM
◆ Neural Networks
◆ Evolutionary Computing and Learning
◆ Fuzzy Sets and Systems
◆ Fuzzy Theory and Algorithms
◆ Rough Sets
◆ Bayesian Methods
◆ Deep Learning
◆ Explainable AI
◆ Stochastic Learning Models
◆ Swarm Intelligence and Optimization
◆ Nature Inspired Computing and Optimization
◆ Intelligent Agents
◆ Multi-Objective Optimization
◆ Support Vector Machines
◆ Reinforcement Learning
◆ Cognitive Learning
◆ Adversarial Machine Learning
◆ Signal Processing
◆ Compressed Sensing and Sparse Coding
◆ Image Processing
◆ Quantum Machine Learning


THEORY & APPLICATION
◆ Pattern Recognition
◆ Computer Vision
◆ Natural Language Processing
◆ Recommender Systems
◆ Federal Learning
◆ Information Security
◆ Computational Finance
◆ Partial Differential Equations Solving
◆ Data Assimilation/History Matching
◆ Control System Modeling
◆ Intelligent Control
◆ Network Control
◆ Intelligent Transportation Systems
◆ Intelligent Remote Sensing
◆ Intelligent Geological Exploration
◆ Intelligent Oil and Gas Field Development
◆ Intelligent Oceanic Engineering
◆ Maritime Information Processing
◆ Intelligent Operation Research and Optimization

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