Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers. - Syed Farhan Alam Zaidi; Faraz Malik Awan; Minsoo Lee; Honguk Woo; Chan-Gun Lee (IEEE Access, 2020)

Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks. - Faraz Malik Awan; Roberto Minerva; Noël Crespi (Sensors, 2020)

A Comparative Analysis of Machine/Deep Learning Models for Parking Space Availability Prediction. - Faraz Malik Awan; Yasir Saleem 001; Roberto Minerva; Noël Crespi (Sensors, 2020)

Exploiting Digital Twins as Enablers for Synthetic Sensing. - Roberto Minerva; Faraz Malik Awan; Noël Crespi (IEEE Internet Comput., 2022)

Towards synthetic sensing for smart cities: a machine/deep learning-based approach. (Vers une détection synthétique pour les villes intelligentes: une approche basée sur la machine et l'apprentissage profond). - Faraz Malik Awan (2022)