Jorge F. Arinez

Journal of manufacturing science and engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jorge F. Arinez trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Hongzhou Wang
  2. Jianjing Zhang
  3. Levent Tolga Eren
  4. Ray Y. Zhong
  5. Yongzhi Zhang
  6. Scott A. Green
  7. Racha Khelif
  8. Laszlo Monostori
  9. Volodymyr Mnih
  10. Robert X. Gao

Papers from Jorge F. Arinez's perspective

Ordered by how strongly the researchers Jorge F. Arinez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Human-level control through deep reinforcement learning
  2. Deep Learning
  3. Cyber-physical systems in manufacturing
  4. Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey (IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews))
  5. Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
  6. Direct Remaining Useful Life Estimation Based on Support Vector Regression (IEEE transactions on industrial electronics (1982. Print))
  7. A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier (Journal of Signal Processing Systems)
  8. Long short-term memory for machine remaining life prediction (Journal of manufacturing systems)
  9. Intelligent Manufacturing in the Context of Industry 4.0: A Review
  10. Human-Robot Collaboration: A Literature Review and Augmented Reality Approach in Design

Their papers