International Conference on Communication, Pattern Recognition and Management 2020


CCPRM 2020 is an opportunity for academics, students, scholars, scientists and engineers from around the world who are involved in the study, management, development and implementation of systems and concepts to combat information warfare or to improve Communication, Pattern Recognition and Management to come together and exchange ideas. This conference is trying to establish itself as a key event for the understanding of threats and risks to information systems, the development of a strong security culture, and incident investigation.
Please consider submitting to this conference. We are interested in the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.
Prospective authors are invited to submit original technical papers by the deadline for publication in the ICCPRM 2020 Conference Proceedings and for presentation(s) in the symposia listed below. Deadlines will be strictly matched and late papers will be summarily rejected. The conference welcomes papers on the following (but not limited to) research topics.

Tracks of the Conference

  • RF and Microwave Communication
  • Antenna and Propagation
  • RF, Microwave and millimeter circuit
  • Microwave Theory and Techniques
  • Modulation, Coding, and Channel Analysis
  • Remote Sensing and GPS
  • Electromagnetic and Photonics
  • Integrated Optics and Electro-optics Devices
  • Optical Electronic Devices & Photonics
  • Techniques of Laser and Applications Of Electro-optics
  • Signal Detection and Parameter Estimation
  • Signal, Image and Video Processing
  • Speech and Audio Processing
  • Wireless Communications
  • Communications Transmission
  • Network Communication
  • Mobile & Wireless networks
  • Satellite Communication
  • Computer and Intelligent Communication
  • Optical Communication & Networks
  • Wireless Sensor Networks
  • Network Security
  • Communication control and networking
  • Exact and Approximate Inference
  • Density Estimation
  • Bayesian Models
  • Gaussian Processes
  • Model Selection
  • Graphical and Graph-based Models
  • Missing Data
  • Ensemble Methods
  • Neural Networks
  • Kernel Methods
  • Large Margin Methods
  • Classification
  • Regression
  • Sparsity
  • Feature Selection and Extraction
  • Spectral Methods
  • Embedding and Manifold Learning
  • Similarity and Distance Learning
  • Matrix Factorization
  • Clustering
  • ICA, PCA, CCA and other Linear Models
  • Fuzzy Logic
  • Active Learning
  • Cost-sensitive Learning
  • Incremental Learning
  • On-line Learning
  • Structured Learning
  • Multi-agent Learning
  • Multi-instance Learning
  • Reinforcement Learning
  • Instance-based Learning
  • Knowledge Acquisition and Representation
  • Meta Learning
  • Multi-strategy Learning
  • Case-Based Reasoning
  • Inductive Learning
  • Computational Learning Theory
  • Cooperative Learning
  • Evolutionary Computation
  • Information Retrieval and Learning
  • Hybrid Learning Algorithms
  • Planning and Learning
  • Convex Optimization
  • Stochastic Methods
  • Combinatorial Optimization
  • Multiclassifier Fusion
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