Browsing by Author "Bashir Shaban, Khaled"

Now showing items 1-3 of 3

    • 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 ...

    • Denoising of acoustic partial discharge signals corrupted with random noise 

      Hussein, Ramy; BashirShaban, Khaled; El-Hag, Ayman H. ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      Power transformers are one of the most important and expensive electrical equipment that require online condition monitoring. Partial discharge (PD) measurement is considered the most effective and non-destructive approach ...

    • Robust detection of acoustic partial discharge signals in noisy environments 

      Hussein, Ramy; Bashir Shaban, Khaled; El-Hag, Ayman H. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Partial discharge (PD) can be used to predict insulation failures in power transformers. Accurate detection of particular PD types has a significant role in anticipating forthcoming outages. However, the noise encountered ...