Main Topics

Prospective authors are invited to submit their papers on topics included but not limited to

NEURAL NETWORKS (NNs)

  • Contemporary NN structures and learning algorithms
  • Self-organizing NNs
  • Optimization and stability of NNs
  • Computer aspects of NNs algorithms
  • Languages, tools and environments for NN-based systems
  • Cellular Nanoscale Networks
  • Other topics in neural networks

DEEP LEARNING (DL)

  • DL – advances in theory and trends
  • DL as a research tool for physics, chemistry, biology, neuroscience, engineering, statistics, econometrics
  • Extension of DL – hierarchical, distributed, deep sets
  • Software tools and research platforms in DL
  • Other topics in deep learning

APPLICATIONS OF NNs IN SCIENCE

  • Image processing and pattern recognition
  • Computational optimization
  • Control systems
  • Circuit theory and Electronics
  • Reasoning systems
  • Operational research and DSS
  • Computational linguistic
  • Computational neuroscience
  • Advanced analytics
  • Data mining and knowledge discoveriny
  • Cyber-physical systems
  • Large-scale applications
  • Big Data and Data Science
  • Other applications of NNs in science

REAL PRACTICE APPLICATIONS

  • Process industries
  • Manufacturing and robotics
  • Power systems
  • Transportation systems
  • Medical
  • Business
  • Education
  • Eco-innovation processes
  • Security systems
  • Other applications of NNs in real practice