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IEEE Transactions on Neural Networks and Learning Systems, ‎2162-237X

Journal

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Publications

  1. Recurrence Quantification Analysis of Processes and Products of Discourse
  2. Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting
  3. Construct Objectification and De-Objectification in Organization Theory
  4. Computational modeling of amorphous polymers
  5. Modeling and numerical simulation of multiscale behavior in polycrystals via extended crystal plasticity
  6. Influence of Process Parameters and Die Design on the Microstructure and Texture Development of Direct Extruded Magnesium Flat Products
  7. Simple saturated PID control for fast transient of motion systems
  8. Dynamic Lot Size Optimization with Reinforcement Learning
  9. The delay vector variance method and the recurrence quantification analysis of energy markets
  10. Introducing parametric uncertainty into a nonlinear friction model
  11. Faulty Process Detection Using Machine Learning Techniques
  12. TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
  13. Clause identification using entropy guided transformation learning
  14. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
  15. Dispatching rule selection with Gaussian processes
  16. Constraints are the solution, not the problem
  17. Dynamic priority based dispatching of AGVs in flexible job shops
  18. Mining positional data streams
  19. Understanding the properties of isospectral points and pairs in graphs
  20. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  21. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  22. Computing regression statistics from grouped data
  23. From Knowledge to Application
  24. Gaussian processes for dispatching rule selection in production scheduling