Improving the efficiency of dental implantation process using guided local search models and continuous time neural networks with robotic assistance

HIGHLIGHTS

  • who: With Robotic Assistance and colleagues from the Health Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia have published the research: Improving the Efficiency of Dental Implantation Process Using Guided Local Search Models and Continuous Time Neural Networks With Robotic Assistance, in the Journal: (JOURNAL)
  • what: The authors propose a novel approach to develop a robot-assisted intelligent system that improves the efficiency of implant process based on Guided Local Search Continuous Time Neural Network (GLCTNN). The aim of this work is to show how intelligent robots can be utilized to . . .

     

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