Search Results - "Abdelhameed, Ahmed M"

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  1. 1

    Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations by ElSaadani, Mohamed, Habib, Emad, Abdelhameed, Ahmed M, Bayoumi, Magdy

    Published in Frontiers in artificial intelligence (04-03-2021)
    “…Soil moisture (SM) plays a significant role in determining the probability of flooding in a given area. Currently, SM is most commonly modeled using…”
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    Journal Article
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    Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection by Abdelhameed, Ahmed M., Bayoumi, Magdy

    Published in IEEE signal processing letters (01-12-2019)
    “…In the past few decades, measuring and recording the brain electrical activities using Electroencephalogram (EEG) has become a standout amongst the tools…”
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    Journal Article
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    An Efficient Deep Learning System for Epileptic Seizure Prediction by Abdelhameed, Ahmed M., Bayoumi, Magdy

    “…Predicting epilepsy ahead of its occurrence has been an arduous job for scientists for a long time. Epileptic patients are still endeavoring to find a…”
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    Conference Proceeding
  6. 6

    FPGA Implementation of High Accuracy Automatic Epileptic Seizure Detection System by Daoud, Hisham G., Abdelhameed, Ahmed M., Bayoumi, Magdy

    “…Analysis of Electroencephalogram (EEG) records acquired from the brain is considered the easiest and a powerful tool in diagnosis the neurological disorders…”
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    Conference Proceeding
  7. 7

    Deep Convolutional Bidirectional LSTM Recurrent Neural Network for Epileptic Seizure Detection by Abdelhameed, Ahmed M., Daoud, Hisham G., Bayoumi, Magdy

    “…Recording the brain electrical activities using Electroencephalogram (EEG) has become the most widely applied tool by physicians for the diagnosis of…”
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    Conference Proceeding
  8. 8

    Semi-Supervised Deep Learning System for Epileptic Seizures Onset Prediction by Abdelhameed, Ahmed M., Bayoumi, Magdy

    “…The advance prediction of seizures before its onset has been a challenging task for scientists for a long time. It is still the epileptic patients' hope to…”
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    Conference Proceeding
  9. 9

    Automatic epileptic seizure detection based on empirical mode decomposition and deep neural network by Daoud, Hisham G., Abdelhameed, Ahmed M., Bayoumi, Magdy

    “…Electroencephalogram (EEG) used to record the electrical activity of the brain is a standout amongst the most helpful tools which are utilized in the diagnosis…”
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    Conference Proceeding
  10. 10

    Epileptic Seizure Detection using Deep Convolutional Autoencoder by Abdelhameed, Ahmed M., Daoud, Hisham G., Bayoumi, Magdy

    “…Monitoring and recording brain activities using Electroencephalograms (EEGs) has become the foremost wide applied tool by physicians for epilepsy diagnosis due…”
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    Conference Proceeding