IEEE 2026 7th International Conference on Signal Processing, Pattern Recognition and Computer Science (SPCS 2026) will be held from August 28 to 30, 2026, in Chengdu, China.
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The topics of interest include, but are not limited to:
โTrack 1: Signal Processing and Intelligent Perception
Signal Processing Theory and Methods
Statistical and Nonlinear Signal Processing
Array and Sensor Signal Processing
Time-Frequency and Time-Scale Analysis
Machine Learning for Signal Processing
Audio, Speech, and Multimedia Signal Processing
Biomedical and Biosignal Processing
Medical Image Analysis
Secure and Privacy-Preserving Signal Processing
Edge Intelligent Signal Processing
Multi-Sensor Data Fusion
Intelligent Sensing Systems
โTrack 2: Pattern Recognition and Machine Intelligence
Pattern Recognition and Classification
Computer Vision and Image Understanding
Natural Language Processing
Multimodal Learning
Few-Shot and Transfer Learning
Federated Learning
Large Language Models and Intelligent Representation
Explainable Artificial Intelligence
Transformer Architectures
Data-Driven Modeling and Learning Algorithms
โTrack 3: Intelligent Systems and Computational Methods
Computational Intelligence
Intelligent and Adaptive Systems
Distributed and Parallel Intelligent Computing
High-Performance Computing for AI
Edge AI Computing
Cognitive Computing
Model Fitting and Data Analytics
Heterogeneous Computing for Intelligent Applications
System Modeling and Intelligent Optimization
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Prof. Ji Zhang,University of Southern Queensland, Australia
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Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in the IEEE(ISBN: 979-8-3195-1974-0), which will be submitted for indexing by IEEE Xplore, EI Compendex, Scopus.
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Submission Deadline: June 30, 2026
Notification Deadline: July 13, 2026
Registration Deadline: July 28, 2026
Final Paper Submission Date: July 28, 2026
Conference Dates: August 28-30, 2026
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Please send the abstract or full paper(word+pdf) to Submission System:
https://ais.cn/u/reMZbi