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  • Introduction
  • Machine Learning
    • Recommended Courses
    • ML Notes
    • Probability and Statistics for Machine Learning
  • Industrial AI
    • PHM Dataset
    • BearingFault_Journal
    • TempCore Journal
      • Machine learning of mechanical properties of steels
      • Online prediction of mechanical properties of hot rolled steel plate using machine learning
      • Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural
      • Tempcore, new process for the production of high quality reinforcing
      • TEMPCORE, the most convenient process to produce low cost high strength rebars from 8 to 75 mm
      • Experimental investigation and simulation of structure and tensile properties of Tempcore treated re
    • Notes
  • LiDAR
    • Processing of Point Cloud
    • Intro. 3D Object Detection
    • PointNet
    • PointNet++
    • Frustrum-PointNet
    • VoxelNet
    • Point RCNN
    • PointPillars
    • LaserNet
  • Simulator
    • Simulator List
    • CARLA
    • Airsim
  • Resources
    • Useful Resources
    • Github
    • Jekyll
  • Reinforcement Learning
    • RL Overview
    • Textbook
    • Basics
    • Continuous Space RL
  • Unsupervised Learning
    • Introduction
  • Unclassified
    • Ethics
    • Conference Guideline
  • FPGA
    • Untitled
  • Numerical Method
    • NM API reference
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  1. Industrial AI

TempCore Journal

Machine learning of mechanical properties of steelsOnline prediction of mechanical properties of hot rolled steel plate using machine learningPrediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial NeuralTempcore, new process for the production of high quality reinforcingTEMPCORE, the most convenient process to produce low cost high strength rebars from 8 to 75 mmExperimental investigation and simulation of structure and tensile properties of Tempcore treated re
PreviousFeature Model and Feature SelectionNextMachine learning of mechanical properties of steels

Last updated 3 years ago

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