International Journal of Deep Learning, Artificial Intelligence and Robotics Applications (IJDLAIR)

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Aim & Scope


Overview


IJDLAIR aims to bridge the gap between these non-coherent disciplines of knowledge. and accelerate interaction and fosters unified development in next generation computational models for machine intelligence.


The journal provides a platform for researchers and professionals to share their research and reports of new technologies and applications in DL, artificial intelligence and robotics like Biometric Recognition Systems,   medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; artificial vision and robotics; and natural language and Web intelligence..


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The journal is to meet the demands of researchers in DL, artificial intelligence and robotics by establishing an effective channel of communication. 

Regular and Special issues will be useful for professionals  developers and researchers by addressing current research directions and experimental findings.


The journal invites original unpublished works, review papers, technical reports, book reviews, conference reports and news about new conferences/seminars/workshops on topics covered in the journal.

 

Topics covered include

  • Intelligent search
  • Automated reasoning and logic programming
  • Machine learning
  • Intelligent planning
  • Visual/linguistic perception
  • Evolutionary and swarm algorithms
  • Derivative-free optimisation algorithms
  • Fuzzy sets and fuzzy logic; rough sets
  • Neural computing
  • Multi-agent systems
  • Data and web mining
  • Emotional intelligence
  • Hybridisation of intelligent models/algorithms
  • Parallel and distributed realisation of intelligent algorithms/systems
  • Applications
  • Deep Learning for Robot Vision
  • HPC for Deep Learning
  • Multimedia for Robot Manipulation
  • Multimedia for Robot Navigation
  • Multimedia Fusion for Robotics
  • Multimedia Communications for Robots
  • Multimedia Compression for Robots
  • User Experience for Multimedia Systems
  • Wireless Multimedia Robots
  • Robotics and Mechatronics
  • Robust and Nonlinear Control