All Stories

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