About the Journal

Journal of Artificial Intelligence in Signal Processing and Image Analysis (JAISPIA) offers a platform for disseminating original and significant research and development activities directed towards the increasingly significant field of artificial intelligence (AI), signal processing, and image analysis. The journal is available for researchers to publish and read articles that are available to all for free of cost.  Research contributions are invited from global academic institutions and organisations. Journal of Artificial Intelligence in Signal Processing and Image Analysis places a strong focus on problems that discusses the behaviour of the artificial intelligence in signal and image analysis with changing needs of the user. This quarterly published journal will cover developments with the potential to significantly affect the vast technical prospects in the Artificial Intelligence industry. The Journal of Artificial Intelligence in Signal Processing and Image Analysis will publish original and peer-reviewed research and review articles from diverse sections of topics as listed below. Research articles with technical innovation solving real-world issues are invited for submission. Also, comprehensive surveys/reviews on key AI advancements in signal processing and image analysis are encouraged for submission. Some of the important topics of interest for the journal are:

  • Machine learning and deep learning applications in signal processing
  • AI-driven speech and audio signal processing
  • Signal processing algorithms
  • Implementation of machine learning and deep learning algorithms for Signal and Image
  • Neural networks for time-series and waveform analysis
  • Adaptive filtering and AI-based denoising techniques
  • Signal compression and enhancement using AI
  • Biomedical signal and Image processing (e.g., ECG, EEG, MRI etc.)
  • Computer vision and AI-based image recognition
  • AI-powered object detection and segmentation
  • Image classification and feature extraction
  • Medical image analysis using AI
  • Deep learning applications in remote sensing and satellite imagery
  • AI-driven image restoration, enhancement, and super-resolution
  • AI-based fusion of image and signal data
  • AI models for multi-sensor data processing
  • Autonomous systems and real-time AI applications
  • AI for video signal processing and real-time surveillance
  • AI-driven biometric authentication and pattern recognition etc.
  • Facial Recognition 

JAISPIA is published as a quarter-yearly journal (4 issues/year).

Abstracted & Indexed in

  • Google Scholar