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Faraz Malik Awan

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Books and Theses

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2022
[b1]
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Faraz Malik Awan:
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). Polytechnic Institute of Paris, Palaiseau, France, 2022

Journal Articles

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2022
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  - journals/internet/MinervaAC22
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Roberto Minerva, Faraz Malik Awan, Noël Crespi:
Exploiting Digital Twins as Enablers for Synthetic Sensing. IEEE Internet Comput. 26(5): 61-67 (2022)
2020
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Syed Farhan Alam Zaidi, Faraz Malik Awan, Minsoo Lee, Honguk Woo, Chan-Gun Lee:
Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers. IEEE Access 8: 213729-213747 (2020)
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Faraz Malik Awan, Yasir Saleem, Roberto Minerva, Noël Crespi:
A Comparative Analysis of Machine/Deep Learning Models for Parking Space Availability Prediction. Sensors 20(1): 322 (2020)
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Faraz Malik Awan, Roberto Minerva, Noël Crespi:
Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks. Sensors 20(13): 3749 (2020)

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