Seyyed Javad Seyyed Mahdavi
Orcid: 0000-0003-1856-4579Affiliations:
- Islamic Azad University, Department of Artificial Intelligence, Mashhad, Iran
According to our database1,
Seyyed Javad Seyyed Mahdavi
authored at least 19 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Energy efficient clustering for dense wireless sensor network by applying Graph Neural Networks with coverage metrics.
Ad Hoc Networks, 2024
2023
Improving the quality of service indices of task allocation in mobile crowd sensing with fuzzy-based inverse stackelberg game theory.
Intell. Syst. Appl., November, 2023
Microprocess. Microsystems, June, 2023
CoRR, 2023
2022
Dynamic Educational Recommender System Based on Improved Recurrent Neural Networks Using Attention Technique.
Appl. Artif. Intell., 2022
2021
Optimization of air traffic management efficiency based on deep learning enriched by the long short-term memory (LSTM) and extreme learning machine (ELM).
J. Big Data, 2021
J. Big Data, 2021
2020
Rev. d'Intelligence Artif., 2020
J. Big Data, 2020
2019
ISoTrustSeq: a social recommender system based on implicit interest, trust and sequential behaviors of users using matrix factorization.
J. Intell. Inf. Syst., 2019
2018
Medical Biol. Eng. Comput., 2018
2017
Bandwidth and gain extension technique for CMOS distributed amplifiers using negative capacitance and resistance cell.
Microelectron. J., 2017
2011
Improved single-pass approach for reliability analysis of digital combinational circuits.
Microelectron. Reliab., 2011
2010
Reliability enhancement of digital combinational circuits based on evolutionary approach.
Microelectron. Reliab., 2010
Evolving More Testable Digital Combinational Circuits.
Proceedings of the 2010 International Conference on Computer Design, 2010
2009
Microelectron. Reliab., 2009
Evolutionary derivation of optimal test sets for neural network based analog and mixed signal circuits fault diagnosis approach.
Microelectron. Reliab., 2009
Fast Monte Carlo based reliability analysis of sequential circuits.
Proceedings of the 2009 International Conference on Modeling, 2009
2008
On improving training time of neural networks in mixed signal circuit fault diagnosis applications.
Microelectron. Reliab., 2008