About the Journal

The Journal of Computers & Signals incorporates all aspects of the theory and practice of computers and signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of computer and signal processing.

Subject areas covered by the journal include:

  • Acoustic/Speech Processing
  • Affective Computing
  • Artificial Intelligence
  • Bioinformatics & Computational Biology
  • Biomedical Signal Processing
  • Biometrics
  • Computational Intelligence, Soft Computing
  • Computer Graphics
  • Computer Vision
  • Control & Industrial Automation
  • Cybernetics
  • Data Science
  • Document & Handwriting Analysis
  • Face, Gesture, Action Recognition
  • Genomic Signal Processing
  • Human-Computer Interaction
  • Image Processing & Analysis
  • Imaging & Vision Systems
  • Intelligent Transportation Systems
  • Machine Learning
  • Medical Image Processing
  • Medical Informatics & Healthcare
  • Multi-core, VLSI Signal Processing
  • Multimedia Signal Processing
  • Pattern Recognition
  • Remote Sensing & Geoscience
  • Robotics / Mechatronics
  • Seismograhpy
  • Sensors, Actuators, Radar, Sonar, etc.
  • Signal Processor Architectures
  • Signal Processing & Analysis
  • Statistical Signal Processing
  • Stock Market & Financial Analysis
  • Technologies for Unreached People
  • Video & Image Sequence Analysis
  •  Instrumentation, Control & Automation
  • System Simulation and Integration
  • Sensors and Instrumentation
  • Robotics and Automation
  • Electronics & Communication
  • Optics and Optical Devices with Applications
  • Signal and Image Processing
  • Wireless Sensor Networks
  • Biomedical Engineering Research
  • Power Systems
  • Hybrid system
  • Power Systems
  • Electrical Machines
  • Power Electronics and Applications
  • Smart Energy and Microgrids
  • Artificial Intelligence
  • Autonomous system
  • Internet of Things (IoT)
  • Big Data Analytics
  • Machine Learning