Hassan, S. A., Beliatis, M., Radziwon, A., Menciassi, A. & Oddo, C. M. (2024). Textile Fabric Defect Detection Using Enhanced Deep Convolutional Neural Network with Safe Human–Robot Collaborative Interaction. Electronics (Switzerland), 13 (21), Article 4314. https://doi.org/10.3390/electronics13214314
Su, Q., Zhou, P., Ding, H. & Xydis, G. (2024). Transition towards a hybrid energy system: Combined effects of renewable portfolio standards and carbon emission trading. Energy Economics, 135, Article 107638. https://doi.org/10.1016/j.eneco.2024.107638
Nüssler, M. L., Mathiasen, J. B. & de Haas, H. (2024). What gets measured gets managed: challenges deploying leading decarbonization indicators to operations and supply chain. Paper presented at 36th NOFOMA Conference, Stockholm, Sweden.
Nagy, E., Al-Jurani, H. & Xydis, G. (2024). Will the EU have enough minerals to drive their electric dreams by 2030? Extractive Industries and Society, 20, Article 101556. https://doi.org/10.1016/j.exis.2024.101556
Ammar, E. & Xydis, G. (2024). Wind speed forecasting using deep learning and preprocessing techniques. International Journal of Green Energy, 21(5), 988-1016. https://doi.org/10.1080/15435075.2023.2228878
Chinello, F., Deshpande, N., Pacchierotti, C., Georgiou, O., Gioioso, G. & Koumaditis, K. (2024). XR-HAP-Enabling Haptic Interaction in Extended Reality: Challenges, Directions, and Opportunities. In U. Eck, M. Sra, J. Stefanucci, M. Sugimoto, M. Tatzgern & I. Williams (Eds.), 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 672-677) https://doi.org/10.1109/ISMAR-Adjunct64951.2024.00205