View conference schedule: ICPCCAI-19 Conference (19th to 21st April 2019)

Call for Paper:

The scope of the conference includes all areas of Power, Computer, Communication an Artificial Intelligence. The various areas of ICPCCAI 2019 include, but are not limited to the following:

Track 1: Power

  • Energy
  • Transformer
  • HVDC
  • Control System
  • Matrix converters.
  • Power semiconductor devices
  • Converters for machines such as SRM, PMSM, BLDC
  • Harmonics reduction
  • Solar inverters and converters

Track 2: Computer

  • Grid and Cluster computing
  • Parallel and Distributed computing
  • Soft computing
  • Human-Computer Interaction
  • Programming Systems, Scientific Computing
  • Machine learning, Database management systems
  • Data Mining and Warehousing
  • Big data analytics
  • Artificial intelligence
  • Neural Networks
  • Fuzzy Systems
  • Data Compression Techniques
  • Software Engineering
  • Computer Architecture and Embedded Systems
  • Multimedia Applications
  • Genetic and Randomized Algorithms
  • Graph Theory
  • Digital Image and audio processing
  • Content dissemination system
  • Recent advances in operating systems
  • Information theory and coding
  • Cyber Crime and digital forensic tools
  • Bioinformatics and Scientific Computing
  • Biometric security
  • IoT (Internet of Things)
  • Software Define Network and System

Track 3: Communication

  • Advance Communication Systems
  • Optical Fiber Communication
  • Information Technology
  • Antenna and Wave Propagation
  • Signal and Image Processing
  • Sensors
  • Human Computer Interaction
  • Big Data Analysis
  • Electronics Circuits and Devices
  • VLSI and Embedded Systems
  • Control Systems
  • Modern Digital Systems
  • Artificial Intelligence
  • Wireless Sensor Networks
  • Cloud Computing
  • Robotics
  • Micro & Nano Electronics
  • Photonics Network Security

Track 4: Artificial Intelligence

  • Natural Language Processing.
  • Machine Learning.
  • Computer Vision.
  • Data Mining.
  • Robotics.
  • Reinforcement Learning.
  • Artificial Neural Network.
  • Deep Learning.
  • Synthesizing Controllers
  • Parallel Machines