1. Smart retrofitting in maintenance: a systematic literature review

   • David Sanchez-Londono
   • Giacomo Barbieri
   • Luca Fumagalli

   ReviewPaper Open access 29 August 2022 Pages: 1 - 19

   

2. Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control

   • Sachin Kumar
   • T. Gopi
   • ChuanSong Wu

   ReviewPaper Open access 10 October 2022 Pages: 21 - 55

   

3. Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining

   • Karim Nadim
   • Ahmed Ragab
   • Mohamed-Salah Ouali

   OriginalPaper Open access 11 May 2022 Pages: 57 - 83

   

4. Human factors in cobot era: a review of modern production systems features

   • Maurizio Faccio
   • Irene Granata
   • Giulio Rosati

   OriginalPaper Open access 19 May 2022 Pages: 85 - 106

   

5. From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0

   • Riccardo Rosati
   • Luca Romeo
   • Emanuele Frontoni

   OriginalPaper Open access 24 May 2022 Pages: 107 - 121

   

6. Hybrid algorithm based on reinforcement learning for smart inventory management

   • Carlos Cuartas
   • Jose Aguilar

   OriginalPaper Open access 03 August 2022 Pages: 123 - 149

   

7. Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic motion planning

   • Chengmin Zhou
   • Bingding Huang
   • Pasi Fränti

   OriginalPaper Open access 07 August 2022 Pages: 151 - 180

   

8. Recursive encoder network for the automatic analysis of STEP files

   • Victoria Miles
   • Stefano Giani
   • Oliver Vogt

   OriginalPaper Open access 07 August 2022 Pages: 181 - 196

   

9. Instant flow distribution network optimization in liquid composite molding using deep reinforcement learning

   • Martin Szarski
   • Sunita Chauhan

   OriginalPaper Open access 08 August 2022 Pages: 197 - 218

   

10. Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing

    • Iñigo Flores Ituarte
    • Suraj Panicker
    • David W. Rosen

    OriginalPaper Open access 17 September 2022 Pages: 219 - 241

    

11. GPyro: uncertainty-aware temperature predictions for additive manufacturing

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    • Francesco Crivelli
    • Markus Bambach

    OriginalPaper Open access 22 September 2022 Pages: 243 - 259

    

12. Polygon generation and video-to-video translation for time-series prediction

    • Mohamed Elhefnawy
    • Ahmed Ragab
    • Mohamed-Salah Ouali

    OriginalPaper Open access 24 September 2022 Pages: 261 - 279

    

13. Utilizing additive manufacturing and mass customization under capacity constraints

    • Rachel Lacroix
    • Anna Timonina-Farkas
    • Ralf W. Seifert

    OriginalPaper Open access 27 September 2022 Pages: 281 - 301

    

14. Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks

    • Ahmed Mohammed
    • Johannes Kvam
    • Helene Schulerud

    OriginalPaper Open access 11 October 2022 Pages: 303 - 314

    

15. A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures

    • Yuwei Mao
    • Hui Lin
    • Ankit Agrawal

    OriginalPaper Open access 14 October 2022 Pages: 315 - 329

    

16. Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets

    • Sherwan Mohammed Najm
    • Imre Paniti

    OriginalPaper Open access 18 October 2022 Pages: 331 - 367

    

17. Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression

    • Umesh Kizhakkinan
    • Pham Luu Trung Duong
    • Nagarajan Raghavan

    OriginalPaper Open access 27 October 2022 Pages: 369 - 385

    

18. Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning

    • Noel P. Greis
    • Monica L. Nogueira
    • Tony Schmitz

    OriginalPaper Open access 09 November 2022 Pages: 387 - 413