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ORCIDMohammad Behdad Jamshidi
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2020 – today
- 2024
[i2]Md Arif Hassan, Mohammad Behdad Jamshidi, Bui Duc Manh, Nam Hoai Chu
, Chi-Hieu Nguyen, Nguyen Quang Hieu, Cong T. Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Nguyen Van Huynh, Mohammad Abu Alsheikh, Eryk Dutkiewicz:
Enabling Technologies for Web 3.0: A Comprehensive Survey. CoRR abs/2401.10901 (2024)- [i1]Mohammad Behdad Jamshidi, Dinh Thai Hoang, Diep N. Nguyen:
CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins. CoRR abs/2402.00238 (2024) - 2021
- [j4]Omid Khalaj, Mohammad Behdad Jamshidi, Ehsan Saebnoori, Bohuslav Masek, Ctibor Stadler, Jirí Svoboda:
Hybrid Machine Learning Techniques and Computational Mechanics: Estimating the Dynamic Behavior of Oxide Precipitation Hardened Steel. IEEE Access 9: 156930-156946 (2021) - [j3]Saeed Roshani, Slawomir Koziel, Sobhan Roshani, Mohammad Behdad Jamshidi, Fariborz Parandin, Stanislaw Szczepanski:
Design of a Patch Power Divider With Simple Structure and Ultra-Broadband Harmonics Suppression. IEEE Access 9: 165734-165744 (2021) - [j2]Saeed Roshani, Mohammad Behdad Jamshidi, Farzad Mohebi, Sobhan Roshani:
Design and Modeling of a Compact Power Divider with Squared Resonators Using Artificial Intelligence. Wirel. Pers. Commun. 117(3): 2085-2096 (2021) - [c7]Mohammad Behdad Jamshidi, Jakub Talla, Ali Lalbakhsh, Maryamsadat Sharifi Atashgah, Asal Sabet, Zdenek Peroutka:
A Conceptual Deep Learning Framework for COVID-19 Drug Discovery. UEMCON 2021: 30-34 - [c6]Mohammad Behdad Jamshidi, Saeed Roshani, Jakub Talla, Maryamsadat Sharifi Atashgah, Sobhan Roshani, Zdenek Peroutka:
Cloud-based Machine Learning Techniques Implemented by Microsoft Azure for Designing Power Amplifiers. UEMCON 2021: 41-44 - [c5]Mohammad Behdad Jamshidi, Sobhan Roshani, Jakub Talla, Maryam Mohammadi, Saeed Roshani, Zdenek Peroutka:
A Modified Branch Line Coupler with Ultra-Wide Harmonics Rejection Using Resonators and Open-Ended Stubs. UEMCON 2021: 860-865 - 2020
- [j1]Mohammad Behdad Jamshidi, Ali Lalbakhsh, Jakub Talla, Zdenek Peroutka, Farimah Hadjilooei, Pedram Lalbakhsh, Morteza Jamshidi, Luigi La Spada, Mirhamed Mirmozafari, Mojgan Dehghani, Asal Sabet, Saeed Roshani, Sobhan Roshani, Nima Bayat-Makou, Bahare Mohamadzade, Zahra Malek, Alireza Jamshidi, Sarah Kiani, Hamed Hashemi-Dezaki, Wahab Mohyuddin:
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment. IEEE Access 8: 109581-109595 (2020)
2010 – 2019
- 2019
- [c4]Mohammad Behdad Jamshidi, Mohammadreza Gorjiankhanzad, Ali Lalbakhsh, Saeed Roshani:
A Novel Multiobjective Approach for Detecting Money Laundering with a Neuro-Fuzzy Technique. ICNSC 2019: 454-458 - [c3]Mohammad Behdad Jamshidi, Neda Alibeigi, Ali Lalbakhsh, Saeed Roshani:
An ANFIS Approach to Modeling a Small Satellite Power Source of NASA. ICNSC 2019: 459-464 - 2017
- [c2]Mohammad Behdad Jamshidi, Neda Alibeigi, Saeedeh Saberi, Zhila Alibeigi:
A computational intelligence method to estimate capacitance loss of electrolytic capacitors based on equivalent series resistance. ICSRS 2017: 218-222 - [c1]Mohammad Behdad Jamshidi, Neda Alibeigi:
Neuro-fuzzy system identification for remaining useful life of electrolytic capacitors. ICSRS 2017: 227-231
Coauthor Index
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