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8篇 您的检索式：作者名="Deabes"

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		题名	作者	年代	出处	被引量
	1	Spectroacopic and HPLC methods for the determination of alendronate in tablets and urine显示文摘	AI Deab SK Hamdan Ⅱ Al Najjar SM	2004	Talanta2004，64，3：	1
	2	Wave climate and nearshore processes on the mediterranean coast of Egypt显示文摘	FRIHY O E DEABES E A EL G A A	2010	Journal of Coastal Research2010，26，1：	1
	3	Erosion chain reaction at El Alamein Resorts on the western Mediterranean coast of Egypt显示文摘	Omran Frihy Essam Deabes	2012	Coastal Engineering2012，，：	1
	4	Quasi-reversible two-electron reduction of oxygen at gold electrodes modified with a self-assembled submonolayer of cysteine 显示文摘	Mohamed S Deab E Ohsaka T	2003	Electrochemistry Communications2003，5，：	1
	5	Protective effects of Lactobacillus rhamnosus GG on aflatoxins-induced toxicities in male albino mice, deabes 显示文摘	Deabe M M Darwish H R Abdel-Aziz K B	2012	J Environment Analytic Toxicol2012，2，：	1
	6	Extubation Failure After Successful Spontaneous Breathing TriM: Prediction Is Still a Challenge! 显示文摘	Deab SA Bellani G	2014	Respir Care2014，59，2：	1
	7	An extraordinary electrocatalytic reduction of oxygen on gold nanoparticles-dectredeposited gold dectrodes显示文摘	El- Deab Mohamed S Ohsaka Takeo	2002	Electrochemistry Communications2002，4，4：	1
	8	Residual Autoencoder Deep Neural Network for Electrical Capacitance Tomography显示文摘Great achievements have been made during the last decades in the field of Electrical Capacitance Tomography(ECT)image reconstruction.However,there is still a need to make these image reconstruction results faster and of better quality.Recently,Deep Learning(DL)is flourishing and is adopted in many fields.The DL is very good at dealing with complex nonlinear functions and it is built using several series of Artificial Neural Networks(ANNs).An ECT image reconstruction model using DNN is proposed in this paper.The proposed model mainly uses Residual Autoencoder called(ECT_ResAE).Alarge-scale dataset of 320 k instances have been generated to train and test the proposed ECT_ResAE model.Each instance contains two vectors;a distinct permittivity distribution and its corresponding capacitance measurements.The capacitance vector has been modulated to generate a 66×66 image,and represented to the ECT_ResAE as an input.The scalability and practicability of the ECT_ResAE network are tested using noisy data,new samples,and experimental data.The experimental results show that the proposed ECT_ResAE image reconstruction model provides accurate reconstructed images.It achieved an average image Correlation Coefficient(CC)of more than 99%and an averageRelative ImageError(IE)around 8.5%.	Wael Deabes Kheir Eddine Bouazza	2022	Computers, Materials & Continua2022，，12：	0

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