Show source-provided references
1. Han, X., Zhu, D., Wang, X., Daim, T., and Qiao, Y. (2021). Discovering technology opportunities based on the linkage between technology and business areas: Matching patents and trademarks. Technol. Anal. Strat. Manag., 2021.
10.1080/09537325.2021.2003773 ↗2. Zhao, X., Zhang, X., and Emmanuel, A. (2022). Research and demonstration of technology opportunity identification model based on text classification and core patents. Comput. Ind. Eng., 171.
10.1016/j.cie.2022.108403 ↗3. A TRIZ-based Trimming method for Patent design around
4. Li, H., Yuan, J., Tan, R., and Peng, Q. (2019). Design around Bundle Patent Portfolio Based on Technological Evolution. Chin. J. Mech. Eng., 32.
10.1186/s10033-019-0400-4 ↗5. A Design-Around Solution for a MMX-Based Tablet Drug Comprising Mesalazine—A Lesson from Shire Development, LLC v. Watson Pharmaceuticals, Inc
10.1089/blr.2019.29155.pc ↗7. Design-around biotechnology patents: An analysis of US Federal Circuit decisions shows the possibility of designing around biotechnology patents
10.4161/hv.7.1.13943 ↗8. Yun, S., Song, K., Kim, C., and Lee, S. (2021). From stones to jewellery: Investigating technology opportunities from expired patents. Technovation, 103.
10.1016/j.technovation.2021.102235 ↗9. Dong, H.R., Chen, D.Z., and Huang, M.H. (2019). Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Macao, China, 15–18 December 2019, IEEE.
10. Forecasting and identifying multi-technology convergence based on patent data: The case of IT and BT industries in 2020
10.1007/s11192-017-2275-4 ↗12. Han, X., Zhu, D., Lei, M., and Daim, T. (2021). R&D trend analysis based on patent mining: An integrated use of patent applications and invalidation data. Technol. Forecast. Soc. Chang., 167.
10.1016/j.techfore.2021.120691 ↗13. A fact-oriented ontological approach to SAO-based function modeling of patents for implementing Function-based Technology Database
10.1016/j.eswa.2012.02.041 ↗15. Masin, I., and Petru, M. (2017, January 11–15). Conceptual Design of Mechanical Flood Barrier. Proceedings of the 7th International Conference on Mechanics and Materials in Design (M2D), Albufeira, Portugal.
16. Tanoyo, T., and Harlim, J. (2022). Systematic Innovation Partnerships with Artificial Intelligence and Information Technology, Proceedings of the 22nd International TRIZ Future Conference, TFC 2022, Warsaw, Poland, 27–29 September 2022, Springer International Publishing.
17. Wang, J., Zhang, Z., Feng, L., Lin, K.-Y., and Liu, P. (2023). Development of technology opportunity analysis based on technology landscape by extending technology elements with BERT and TRIZ. Technol. Forecast. Soc. Chang., 191.
10.1016/j.techfore.2023.122481 ↗18. Lepšík, P., Petrů, M., and Novák, O. (2014). Modern Methods of Construction Design: Proceedings of ICMD 2013, Springer International Publishing.
20. Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv.
21. Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques
10.1007/s10639-022-11373-1 ↗22. Ogunleye, B., Maswera, T., Hirsch, L., Gaudoin, J., and Brunsdon, T. (2023). Comparison of Topic Modelling Approaches in the Banking Context. Appl. Sci., 13.
10.3390/app13020797 ↗23. Meaney, C., Escobar, M., Stukel, T.A., Austin, P.C., and Jaakkimainen, L. (2022). Comparison of Methods for Estimating Temporal Topic Models from Primary Care Clinical Text Data: Retrospective Closed Cohort Study. Jmir Med. Inform., 10.
10.2196/40102 ↗24. Jeon, E., Yoon, N., and Sohn, S.Y. (2023). Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa. Technol. Forecast. Soc. Chang., 186.
10.1016/j.techfore.2022.122130 ↗25. Liang, F., Verhoeven, K., Brunelli, M., and Rezaei, J. (2021). Inland terminal location selection using the multi-stakeholder best-worst method. Int. J. Logist. Res. Appl., 2021.
10.1080/13675567.2021.1885634 ↗30. Fallahpour, A., Wong, K.Y., Rajoo, S., Fathollahi-Fard, A.M., Antucheviciene, J., and Nayeri, S. (2021). An integrated approach for a sustainable supplier selection based on Industry 4.0 concept. Environ. Sci. Pollut. Res., 1–19.
10.1007/s11356-021-17445-y ↗32. A Comparative Study on the Performance Characteristics of Centrifugal and Progressive Cavity Slurry Pumps with High Concentration Fly Ash Slurries
10.1080/02726351.2010.503264 ↗33. Seo, Y.G., Park, J.G., and Elaiyaraju, P. (2014, January 19–21). Effects of pump-induced particle agglomeration during chemical mechanical planarization (CMP). Proceedings of the International Conference on Planarization/CMP Technology 2014, Kobe, Japan.
10.1109/ICPT.2014.7017293 ↗34. Sun, S., Tse, P.W., and Tse, Y.L. (2017). An Enhanced Factor Analysis of Performance Degradation Assessment on Slurry Pump Impellers. Shock. Vib., 2017.
10.1155/2017/1524840 ↗35. Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential Monte Carlo method
10.1016/j.ymssp.2014.10.010 ↗