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ICCPRM 2020

International Conference on Communication, Pattern Recognition and Management 2020

London, United Kingdom
8 - 9 September 2020
81 days since the conference ended

Important Dates

Abstract Submission Deadline
10th August 2020
Final Abstract / Full Paper Deadline
20th August 2020
Registration Deadline
20th August 2020

About ICCPRM 2020

ICCPRM 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.

Topics

Change management, Coastal management, Construction management, Corporate communication, Customer relationship management , Disaster management, Electronics and telecommunications engineering, Emergency management, Energy management, Fisheries management, Hospitality management, Hotel management, Knowledge management, Lean management, Natural resource management, Pain management, Pattern recognition, Political communication, Satellite communications, Speech communication, Telecommunications engineering, Visual communication, Wireless communications, Data communication systems, Mobile communication systems, • marketing and communication, Multimedia and communication systems, Mass communication, Pattern recognition and medical imaging, T1: streets: communication, Pattern recognition in music, Data mining in pattern recognition, Pattern recognition in web–based systems, Communication, Management, Pattern recognition reliability & fault-tolerance remote sensing, Pattern recognition and analysis, Dsp/image processing/pattern recognition/multimedia, Vision & pattern recognition computer vision image processing pattern recognition machine learning medical image processing human-computer interaction remote sensing & geoscience biomedical systems, Image processing and pattern recognition, Pattern recognition and machine intelligence, Technologies and applications pattern recognition principles robotics & remote sensing applications of pattern recognition voice and speech recognition applications, Pattern recognition and learning, Artificial intelligence image processing/pattern recognition autonomic and trusted computing industrial automation big data processing and applications information security biomedical applications information technology management biomedical computing

Call for Papers

  • 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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