Search Results - "Abdelhameed, Ahmed M"
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1
Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations
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 -
2
Design, synthesis, and antitumor efficacy of novel 5-deazaflavin derivatives backed by kinase screening, docking, and ADME studies
Published in Journal of enzyme inhibition and medicinal chemistry (01-12-2023)“…Novel 5-deazaflavins were designed as potential anticancer candidates. Compounds 4j, 4k, 5b, 5i, and 9f demonstrated high cytotoxicity against MCF-7 cell line…”
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Journal Article -
3
Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection
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 -
4
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization
Published in Journal of the American Medical Informatics Association : JAMIA (01-09-2024)“…Precise literature recommendation and summarization are crucial for biomedical professionals. While the latest iteration of generative pretrained transformer…”
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Journal Article -
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An Efficient Deep Learning System for Epileptic Seizure Prediction
Published in 2021 IEEE International Symposium on Circuits and Systems (ISCAS) (01-05-2021)“…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 -
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FPGA Implementation of High Accuracy Automatic Epileptic Seizure Detection System
Published in 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS) (01-08-2018)“…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 -
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Deep Convolutional Bidirectional LSTM Recurrent Neural Network for Epileptic Seizure Detection
Published in 2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) (01-06-2018)“…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 -
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Semi-Supervised Deep Learning System for Epileptic Seizures Onset Prediction
Published in 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (01-12-2018)“…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 -
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Automatic epileptic seizure detection based on empirical mode decomposition and deep neural network
Published in 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA) (01-03-2018)“…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
Epileptic Seizure Detection using Deep Convolutional Autoencoder
Published in 2018 IEEE International Workshop on Signal Processing Systems (SiPS) (01-10-2018)“…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