Browsing Faculty Contributions by Subject "Auto encoders"

Now showing items 1-4 of 4

    • An Agreement Based Dynamic Routing Method for Fault Diagnosis in Power Network with Enhanced Noise Immunity 

      Fahim, S. R.; Muyeen, S. M.; Sarker, Y.; Sarker, S.K.; Das, S.K. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      The stable operation of a power system often depends on inscribing the faults that may arise when transmitting and distributing electrical power. Characterizing these faults is necessary to analyze the post-fault oscillography ...

    • Deep learning models for sentiment analysis in arabic 

      Al Sallab, Ahmad; Hajj, Hazem; Badaro, Gilbert; Baly, Ramy; El Hajj, Wassim; ... more authors ( Association for Computational Linguistics (ACL) , 2015 , Conference Paper)
      In this paper, deep learning framework is proposed for text sentiment classification in Arabic. Four different architectures are explored. Three are based on Deep Belief Networks and Deep Auto Encoders, where the input ...

    • End-to-End Image Steganography Using Deep Convolutional Autoencoders 

      Subramanian N.; Cheheb I.; Elharrouss O.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Image steganography is used to hide a secret image inside a cover image in plain sight. Traditionally, the secret data is converted into binary bits and the cover image is manipulated statistically to embed the secret ...

    • Multimodal deep learning approach for Joint EEG-EMG Data compression and classification 

      Ben Said A.; Mohamed A.; Elfouly T.; Harras K.; Wang Z.J. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed ...