Abstract
Carbas, B., Sampaio, P., Barros, S. C., Freitas, A., Silva, A. S., & Brites, C. (2025). Rapid screening of fumonisins in maize using near-infrared spectroscopy (NIRS) and machine learning algorithms. Food Chemistry: X, 27. https://doi.org/10.1016/j.fochx.2025.102351
Chaudhary, U., Ali, M. F., Kumar, A., Sharma, A., & Jayakody, D. N. K. (Accepted/In press). Unleashing the power of wireless communication in healthcare by empowering patient care and connectivity. IEEE Access, 13, 117239-117299. https://doi.org/10.1109/access.2025.3578344
Dinis, D., Guerreiro, J., Beko, M., Dinis, R., & Wichman, R. (Accepted/In press). Quasi-Optimum Detection for a Wide Class of Digital Signals With Strong Nonlinear Distortion Effects. IEEE Open Journal of Vehicular Technology, 6, 2842-2856. https://doi.org/10.1109/OJVT.2025.3619421
Fachada, N., Fernandes, D., Fernandes, C. M., Ferreira-saraiva, B. D., & Matos-carvalho, J. P. (2025). GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries. Future Internet, 17(9). https://doi.org/10.3390/fi17090412
Glunt, J. J., Robbins, J. A., Siefert, J. A., Silvestre, D., & Pangborn, H. C. (Submitted). Sharp Hybrid Zonotopes. IEEE Control Systems Letters, 9, 1802-1807. https://doi.org/10.1109/LCSYS.2025.3585953
Rufaioğlu, S. B., Bilgili, A. V., Savaşlı, E., Özberk, �., Aydemir, S., Ismael, A. M., Kaya, Y., & Matos-carvalho, J. P. (2025). Sensor-based yield prediction in Durum Wheat under semi-arid conditions using Machine Learning across Zadoks growth stages. Remote Sensing, 17(14). https://doi.org/10.3390/rs17142416
Sampaio, P. S., Carbas, B., Soares, A., Sousa, I., & Brites, C. (2025). Spectral markers and machine learning. Food Chemistry, 492(3). https://doi.org/10.1016/j.foodchem.2025.145569
Stefenon, S. F., Seman, L. O., Yamaguchi, C. K., Coelho, L. D. S., Mariani, V. C., Matos-carvalho, J. P., & Leithardt, V. R. Q. (2025). Neural Hierarchical Interpolation Time Series (NHITS) for Reservoir Level Multi-Horizon Forecasting in Hydroelectric Power Plants. IEEE Access, 13, 54853-54865. https://doi.org/10.1109/ACCESS.2025.3554446
Tomic, S., Beko, M., Tsado, Y., Adebisi, B., & Oladipo, A. (Accepted/In press). Reinforcing Localization Credibility Through Convex Optimization. IEEE Signal Processing Letters, 32, 3445-3449. https://doi.org/10.1109/LSP.2025.3601835
Athif, S., Sharukesh, M., Nidish, S. R., Vignesh, V. S., Amrita, S. S., Sasi, D., & Jayakody, D. N. K. (2025). Analysis of deep and graph neural networks for enhanced DDoS Attack Detection. In ICAC 2025 - 7th International Conference on Advancements in Computing . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAC69156.2025.11361499
Devaja, T., Petkovic, M., Wang, C., Tomic, S., & Vukobratovic, D. (2025). Reliability Analysis of mMTC Slotted ALOHA with Probabilistic Retransmissions of Short Packets. In 2025 International Conference on Future Communications and Networks, FCN 2025 - Proceedings . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FCN66513.2025.11296712
Dinis, D., Costa, D., Guerreiro, J., Beko, M., & Wichman, R. (2025). Quasi-Optimum Detection of OFDM with Cartesian Nonlinearities. In 2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2025-Spring65109.2025.11174425
Peres, I., Mascarenhas, E., Calado, C., & Sampaio, P. (2025). FTIR Spectroscopy and Machine Learning Methods to Classify the Bioactive Extracts from Macroalgae. IEEE Portuguese Meeting on Bioengineering, ENBENG, (2025), 89-92. https://doi.org/10.1109/ENBENG67130.2025.11199536