All Stories

  1. Assessing the performance of state-of-the-art machine learning algorithms for predicting electro-erosion wear in cryogenic treated electrodes of mold steels
  2. Bibliometric AI for predicting soil liquefaction
  3. Machine learning and ANFIS for welding strength
  4. Heuristics for supply chain and manufacturing functions
  5. Ensemble Learning Methods for Soil Liquefaction
  6. AutoML for slope stability prediction
  7. Sentiment Analysis of Twitter Data of Hepsiburada E-commerce Site Customers with Natural Language Processing
  8. Integrated Process Planning, Scheduling, Due-Date Assignment and Delivery Using Simulated Annealing and Evolutionary Strategies
  9. Modeling Electro-Erosion Wear of Cryogenic Treated Electrodes of Mold Steels Using Machine Learning Algorithms
  10. Derin Öğrenme ve ARIMA Yöntemlerinin Tahmin Performanslarının Kıyaslanması: Bir Borsa İstanbul Hissesi Örneği
  11. how to choose the best location for a humanitarian logistics distribution center in Turkey.
  12. Using AI to predict soil liquefaction risk
  13. Due-Date Assignment
  14. Dynamic Integrated Process Planning and Scheduling
  15. Dynamic Integrated Process Planning, Scheduling, and Due-Date Assignment
  16. Integrated Process Planning and Scheduling
  17. Integrated Process Planning, Scheduling, Due-Date Assignment, and Delivery
  18. Integrated Process Planning, Scheduling, and Due-Date Assignment
  19. Integrated Process Planning, Scheduling, and Due-Date Assignment
  20. Introduction to Integrated Process Planning, Scheduling, and Due-Date Assignment
  21. Process Planning
  22. Scheduling in Manufacturing
  23. Scheduling with Due-Date Assignment
  24. Scheduling with Due-Window Assignment
  25. Solution Techniques in Integrated Manufacturing Functions
  26. Optimizing tire production using Ant Colony Algorithm.
  27. Predicts air pollution using AI
  28. Optimizing deep learning for PM2.5 prediction using genetic algorithms
  29. Machine learning predicts soil liquefaction
  30. Machine Learning Experiment Management with MLFlow
  31. Optimize PM10 prediction: preprocess data, select features, use LSTM models
  32. Recent Advances in Intelligent Manufacturing and Service Systems
  33. Optimizing integrated planning, scheduling, and due date assignment using a modified PSO.
  34. Dynamic process planning, scheduling, and due-date assignment integrated using ACO.
  35. Dynamic integrated process planning, scheduling and due date assignment (DIPPSDDA)
  36. Concurrent solution of WATC scheduling with WPPW due date assignment for environmentally weighted customers, jobs and services using SA and its hybrid