F. M. Awan, "MeowMotion: Detecting Trips, OD Matrices, and Transport Modes from GPS Data". Zenodo, May 05, 2025. doi: 10.5281/zenodo.15346203.
R. Minerva, N. Crespi, R. Farahbakhsh, F.M. Awan, "Artificial Intelligence and the Digital Twin: An Essential Combination" inThe Digital Twin 2023 Jun 3 (pp. 299-336). Cham: Springer International Publishing.
C. Savaglio, V. Barbuto, F.M. Awan, R. Minerva, N. Crespi, G. Fortino, "Opportunistic Digital Twin: An Edge Intelligence Enabler for Smart City ", ACM Transactions on Sensor Networks, 2023. [IF=2.56] (Forthcoming)
F.M. Awan, R. Minerva, N. Crespi, "Using Noise Pollution Data for Traffic Prediction in Smart Cities: Experiments Based on LSTM Recurrent Neural Networks", IEEE Sensors, 2021. [IF=3.301]
R. Minerva, F.M. Awan, N. Crespi, Exploiting Digital Twin as enablers for Synthetic Sensing, IEEE Internet Computing (Forthcoming), 2021. [IF=4.231]
S.F.A. Zaidi, F.M. Awan, M. Lee, H. Woo, and C.G. Lee, "Applying Convolutional Neural Networks with Different Word Representation Techniques to Recommend Bug Fixers", IEEE Access, 2020. [IF= 3.745]
F.M. Awan, R. Minerva, and N. Crespi, "Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments based on LSTM Recurrent Neural Networks", MDPI Sensors, 2020. [IF= 3.275]
F.M. Awan, Y. Saleem, R. Minerva, and N. Crespi, "A Comparative Analysis of Machine/Deep Learning Models for Parking Space Availability Prediction", MDPI Sensors, 2020. [IF= 3.031]
F.M. Awan, V. Raturi, "Travel Mode Detection: Harnessing the Power of Mobile Phone Apps Data through Machine Learning", AGILE Conference 2024 (Poster)
V. Raturi, F.M. Awan, "Deriving Mobility Insights from Mobile App Data: A Comparative Study on Distance Thresholds for Stay Detection", AGILE Conference 2024 (Poster)