All Stories

  1. Autoencoders for learning latent information of cutting tool health
  2. Modeling Markers for Detection of Psychiatric Disorders Using EEG Signals
  3. Deep Learning System for Object Detection and Collision Free Handling in Industrial Robots
  4. A hybrid digital twin for monitoring and controlling weld quality in friction stir welding
  5. Image-based Cutting Tool Health Diagnosis in Multi-machine Settings
  6. Gaussian mixture model for tool condition monitoring
  7. Federated Learning for Weld Quality Prediction
  8. Symbolic regression-based hybrid models for a manufacturing process
  9. Tool wear and remaining useful life estimation in precision machining using interacting multiple model
  10. Integrated DEMATEL-ML approach for implementing lean supply chain in manufacturing sector
  11. Accurately monitoring tool wear in precision machining
  12. Estimating Remaining Useful Life of Cutting Tools in Machining Using an Extended Kalman Filter
  13. Intelligent Feature Engineering for Monitoring Tool Health in Machining
  14. A generalized Machine Learning model for tool condition monitoring in precision machining processes.
  15. Data Fusion Cognitive Computing for Characterization of Mechanical Property in Friction Stir Welding Process
  16. A diagnosis framework is developed using Symbolic Regression.
  17. A critical review on applications of artificial intelligence in manufacturing
  18. In-situ workpiece perception: A key to zero-defect manufacturing in Industry 4.0 compliant job shops
  19. A Critical Survey of EEG-Based BCI Systems for Applications in Industrial Internet of Things
  20. Industry 4.0 Application in Manufacturing for Real-Time Monitoring and Control
  21. Real-time deep learning–based image processing for pose estimation and object localization in autonomous robot applications
  22. Prediction of Weld Defects in Underwater Friction Stir Welding of Dissimilar Materials
  23. Digital twinning applications in manufacturing
  24. A comparative study between weldability of polycarbonate and nylon-6 using different pin geometries in friction stir welding
  25. Artificial Intelligence and Machine Learning in Manufacturing
  26. Data Communication-Edge, Fog, and Cloud Computing
  27. Evolution of Manufacturing and Its Journey Towards Digital Twin
  28. Image Processing for Digital Twin
  29. Sensor Electronics for Digital Twin
  30. Signal Processing for Digital Twin
  31. Digital Twin Application
  32. Tool Quality Monitoring in Friction Stir Welding Process
  33. Optimizing process parameters for joint strength efficiency improvement in friction stir welding of polycarbonate sheets
  34. Sensor based real-time information for monitoring and control of a manufacturing process
  35. Application of Industry 4.0 in welding.
  36. TransFuse: A Transform Learning Based Multisensor Fusion Framework
  37. Weld defect localization in friction stir welding process
  38. Multi sensor based strategies for accurate prediction of friction stir welding of polycarbonate sheets
  39. Industry 4.0 scheme for real-time monitoring and control of friction stir welding
  40. Digital twin: current scenario and a case study on a manufacturing process
  41. A Study on Electrical and Electrochemical Characteristics of Friction Stir Welded Lithium-Ion Battery Tabs for Electric Vehicles
  42. Enhancement of joint strength in friction stir lap welding between AA6061 and AISI 304 by adding diffusive coating agents
  43. Industry 4.0 in Manufacturing
  44. Friction Stir Welding for Joining of Polymers
  45. Friction stir welding of polypropylene sheet