Author:
Ramadane Mohamed,Meyer Sonja,Bohnet Doris
Reference35 articles.
1. 2023. 2022 at& t gigaton goal progress update. URL: https://about.att.com/ecms/dam/csr/2023/Environment/2022AT&T_Gigaton_Goal_Progress_Update_FINAL.pdf.
2. Sustainability assessment and modeling based on supervised machine learning techniques: The case for food consumption;Abdella;Journal of Cleaner Production,2020
3. To which degree does sector specific standardization make life cycle assessments comparable?—the case of global warming potential of smartphones;Andrae;Challenges,2014
4. Multiple kernel learning, conic duality, and the smo algorithm;Bach,2004
5. Barros, N.N., Ruschel, R.C., 2021. Machine learning for whole-building life cycle assessment: A systematic literature review, in: Toledo Santos, E., Scheer, S. (Eds.), Proceedings of the 18th International Conference on Computing in Civil and Building Engineering, Springer International Publishing, Cham. pp. 109–122.