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ICNC-FSKD 2025 : 21th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

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Link: https://icnc-fskd.imnu.edu.cn/
 
When Jul 26, 2025 - Jul 28, 2025
Where Hohhot, Inner Mongolia, China
Submission Deadline Mar 10, 2025
Notification Due Apr 10, 2025
Final Version Due May 10, 2025
Categories    neural computation   evolutionary computation   knowledge discovery   fuzzy algorithms
 

Call For Papers

The 2025 21th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2025) will be held from 26-28 July 2025 in Hohhot, China.Hohhot is a phonetic translation from Mongolian, meaning "the city of blue", and is the capital of Inner Mongolia Autonomous Region, known as "the Milk Capital of China", and has been honored with titles such as "a national model city for ethnic unity and progress", "a national ecological civilization city", "a national forest city", "an excellent tourist city in China", "a national historical and cultural city", "one of the top ten most happy cities in China", "a national model city for military-civilian integration", and "a Chinese city for health and wellness tourism".

As with the past ICNC-FSKD conferences, all papers in conference proceedings will be submitted to EI Compendex, Scopus, and ISTP (ISI Proceedings). ICNC-FSKD 2005-2024 have all been indexed in EI Compendex, etc.

ICNC-FSKD is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, communications, and more. This is an exciting and interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. The registration fee includes proceedings, lunches, dinners, banquet, coffee breaks, and all technical sessions.

Prospective authors are invited to submit manuscripts written in English. All submissions will be peer-reviewed by experts in the field based on originality, significance, quality and clarity. Authors should use the Latex style files or MS-Word templates obtained from the conference site to format their papers. Authors should submit PDF files of their manuscripts via the online submission system. Submissions imply that the papers have not been submitted elsewhere and will not be submitted elsewhere for publications before the review decisions of this conference.

Submissions of papers describing original work in, but not limited to, the following topics are enthusiastically encouraged.

Neural Computation- Deep Learning; Recurrent Neural Networks Support Vector Machines and Statistical Neural Network Models; Unsupervised and Semi-supervised Learning Neural Networks.

Evolutionary Computation- Genetic and Evolutionary Algorithms; Particle Swarm Optimization and Ant Colony Optimization; Multi-Objective Optimization; Artificial Life and Artificial Immune Systems; Intelligent Agents; Quantum Computing; Molecular, DNA, Membrane, and Cultural Computing.

Fuzzy Theory and Algorithms- Fuzzy theory and models; Rough Set; Granular Computation; Uncertainty Management

Natural Computation Applications- Data analysis; Image, speech and signal processing; Vision and multimedia; Control and robotics, Decision and support.

Knowledge Discovery Foundations- Association Rules; Classification; Clustering; Privacy Preserving Data Mining; Statistical Methods for Data Mining; Parallel/Distributed Data Mining; Knowledge Management; Machine Learning and Artificial Intelligence.

Knowledge Discovery in Specific Domains- Big data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Bioinformatics, Financial engineering.

Information Technology for Knowledge Discovery- Data engineering; Signal processing and multimedia; Communications and networking; Software engineering; Automation, robotics, and control; Distributed systems and computer hardware.

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