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Abdelsalam, A. M., Elsheikh, A., Chidambaram, S., David, J. P., & Langlois, J. M. P. (2020). POLYBiNN: Binary Inference Engine for Neural Networks using Decision Trees. Journal of Signal Processing Systems, 92(1), 95-107. Lien externe
Abdelsalam, A. M., Elsheikh, A., David, J. P., & Langlois, J. M. P. (octobre 2019). POLYCiNN: Multiclass Binary Inference Engine using Convolutional Decision Forests [Communication écrite]. 13th Conference on Design and Architectures for Signal and Image Processing (DASIP 2019), Montréal, Qc, Canada. Lien externe
Abdelsalam, A. M., Elsheikh, A., David, J. P., & Langlois, J. M. P. (octobre 2018). POLYBiNN: A Scalable and Efficient Combinatorial Inference Engine for Neural Networks on FPGA [Communication écrite]. Conference on Design and Architectures for Signal and Image Processing (DASIP 2018), Porto, Portugal. Lien externe
Elsheikh, A., Yacout, S., Ouali, M.-S., & Shaban, Y. (2020). Failure time prediction using adaptive logical analysis of survival curves and multiple machining signals. Journal of Intelligent Manufacturing, 31(2), 403-415. Lien externe
Elsheikh, A. (2018). Analytics of Sequential Time Data from Physical Assets [Thèse de doctorat, École Polytechnique de Montréal]. Disponible
Elsheikh, A., Yacout, S., & Ouali, M.-S. (2018). Bidirectional handshaking LSTM for remaining useful life prediction. Neurocomputing, 323(148-156), 148-156. Lien externe
