A deep-learning approach for predicting water absorption in composite pipes by extracting the material’s dielectric features-Reference-Cited by-同舟云学术

A deep-learning approach for predicting water absorption in composite pipes by extracting the material’s dielectric features

Author:

Altabey Wael A.^ORCID,Noori Mohammad,Wu Zhishen,Al-Moghazy Mohamed A.,Kouritem Sallam A.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference88 articles.

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2. FE and ANN model of ECS to simulate the pipelines suffer from internal corrosion;Altabey;J. Struct. Monit. Maint.,2016

3. The thermal effect on electrical capacitance sensor for two-phase flow monitoring;Altabey;J. Struct. Monit. Maint.,2016

4. Delamination evaluation on basalt FRP composite pipe by electrical potential change;Altabey;J. Adv. Aircr. Spacecr. Sci.,2017

5. EPC method for delamination assessment of basalt FRP pipe: Electrodes number effect;Altabey;J. Struct. Monit. Maint.,2017

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