Ahmed Ragab
Orcid: 0000-0002-0075-203X
According to our database1,
Ahmed Ragab
authored at least 27 papers
between 2011 and 2024.
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Bibliography
2024
Enhanced Dynamic Regulation in Buck Converters: Integrating Input-Voltage Feedforward With Voltage-Mode Feedback.
IEEE Access, 2024
2023
Delay Mismatch Insensitive Dead Time Generator for High-Voltage Switched-Mode Power Amplifiers.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2023
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining.
J. Intell. Manuf., 2023
J. Intell. Manuf., 2023
Design, analysis, and implementation of a new lightweight block cipher for protecting IoT smart devices.
J. Ambient Intell. Humaniz. Comput., 2023
2022
Fault classification in the process industry using polygon generation and deep learning.
J. Intell. Manuf., 2022
Multi-output regression using polygon generation and conditional generative adversarial networks.
Expert Syst. Appl., 2022
Decision fusion for reliable fault classification in energy-intensive process industries.
Comput. Ind., 2022
Synthesis, characterization, thermal properties, antimicrobial evaluation, ADMET study, and molecular docking simulation of new mono Cu (II) and Zn (II) complexes with 2-oxoindole derivatives.
Comput. Biol. Medicine, 2022
2021
A Multiagent-Based Methodology for Known and Novel Faults Diagnosis in Industrial Processes.
IEEE Trans. Ind. Informatics, 2021
Design and Analysis of Combined Input-Voltage Feedforward and PI Controllers for the Buck Converter.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Causal Information Prediction for Analog Circuit Design Using Variable Selection Methods Based on Machine Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
2020
Proceedings of the 24th International Conference on Information Visualisation, 2020
2019
Large-Scale Empirical Study of Important Features Indicative of Discovered Vulnerabilities to Assess Application Security.
IEEE Trans. Inf. Forensics Secur., 2019
Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions.
J. Intell. Manuf., 2019
Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning.
Expert Syst. Appl., 2019
Eur. J. Oper. Res., 2019
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2019
2018
Fault diagnosis in industrial chemical processes using interpretable patterns based on Logical Analysis of Data.
Expert Syst. Appl., 2018
High-Temperature Empirical Modeling for the I-V Characteristics of GaN150-Based HEMT.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
High-Temperature Modeling of the I-V Characteristics of GaN150 HEMT Using Machine Learning Techniques.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Pattern-based prognostic methodology for condition-based maintenance using selected and weighted survival curves.
Qual. Reliab. Eng. Int., 2017
2016
Remaining useful life prediction using prognostic methodology based on logical analysis of data and Kaplan-Meier estimation.
J. Intell. Manuf., 2016
2014
IEEE J. Solid State Circuits, 2014
Proceedings of the 2014 IEEE International Conference on Solid-State Circuits Conference, 2014
2012
0.16-0.25 pJ/bit, 8 Gb/s Near-Threshold Serial Link Receiver With Super-Harmonic Injection-Locking.
IEEE J. Solid State Circuits, 2012
2011
J. Electr. Comput. Eng., 2011