Presentation an Approach for Optimization of Semantic Web Language Based on the Document Structure - Farzad Parseh; Davood Karimzadgan Moghaddam; Mir Mohsen Pedram; Rohollah Esmaeli Manesh; Mohammad (Behdad) Jamshidi (CoRR, 2012)

Neuro-fuzzy system identification for remaining useful life of electrolytic capacitors. - Mohammad Behdad Jamshidi; Neda Alibeigi (ICSRS, 2017)

A computational intelligence method to estimate capacitance loss of electrolytic capacitors based on equivalent series resistance. - Mohammad Behdad Jamshidi; Neda Alibeigi; Saeedeh Saberi; Zhila Alibeigi (ICSRS, 2017)

An ANFIS Approach to Modeling a Small Satellite Power Source of NASA. - Mohammad Behdad Jamshidi; Neda Alibeigi; Ali Lalbakhsh; Saeed Roshani (ICNSC, 2019)

A Novel Multiobjective Approach for Detecting Money Laundering with a Neuro-Fuzzy Technique. - Mohammad Behdad Jamshidi; Mohammadreza Gorjiankhanzad; Ali Lalbakhsh; Saeed Roshani (ICNSC, 2019)

Uncertain RUSSEL data envelopment analysis model: A case study in iranian banks. - Mohammad Jamshidi 002; Masoud Sanei; Ali Mahmoodirad; Farhad Hosseinzadeh Lotfi; Ghasem Tohidi (J. Intell. Fuzzy Syst., 2019)

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment. - 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; et al. (IEEE Access, 2020)

Cloud-based Machine Learning Techniques Implemented by Microsoft Azure for Designing Power Amplifiers. - Mohammad Behdad Jamshidi; Saeed Roshani; Jakub Talla; Maryamsadat Sharifi Atashgah; Sobhan Roshani; Zdenek Peroutka (UEMCON, 2021)

A Modified Branch Line Coupler with Ultra-Wide Harmonics Rejection Using Resonators and Open-Ended Stubs. - Mohammad Behdad Jamshidi; Sobhan Roshani; Jakub Talla; Maryam Mohammadi; Saeed Roshani; Zdenek Peroutka (UEMCON, 2021)

A Conceptual Deep Learning Framework for COVID-19 Drug Discovery. - Mohammad Behdad Jamshidi; Jakub Talla; Ali Lalbakhsh; Maryamsadat Sharifi Atashgah; Asal Sabet; Zdenek Peroutka (UEMCON, 2021)

Hybrid Machine Learning Techniques and Computational Mechanics: Estimating the Dynamic Behavior of Oxide Precipitation Hardened Steel. - Omid Khalaj; Mohammad Behdad Jamshidi; Ehsan Saebnoori; Bohuslav Masek; Ctibor Stadler; Jirí Svoboda (IEEE Access, 2021)

Design of a Patch Power Divider With Simple Structure and Ultra-Broadband Harmonics Suppression. - Saeed Roshani; Slawomir Koziel; Sobhan Roshani; Mohammad Behdad Jamshidi; Fariborz Parandin; Stanislaw Szczepanski (IEEE Access, 2021)

Design and Modeling of a Compact Power Divider with Squared Resonators Using Artificial Intelligence. - Saeed Roshani; Mohammad Behdad Jamshidi; Farzad Mohebi; Sobhan Roshani (Wirel. Pers. Commun., 2021)

Digital Twin of a Magnetic Medical Microrobot with Stochastic Model Predictive Controller Boosted by Machine Learning in Cyber-Physical Healthcare Systems. - Hamid Keshmiri Neghab; Mohammad (Behdad) Jamshidi; Hamed Keshmiri Neghab (Inf., 2022)

The Meta-Metaverse: Ideation and Future Directions. - Mohammad (Behdad) Jamshidi; Arash Dehghaniyan Serej; Alireza Jamshidi; Omid Moztarzadeh (Future Internet, 2023)

An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse. - Fatemeh Daneshfar; Mohammad (Behdad) Jamshidi (Neural Networks, 2023)

Digital Twin Model of Electric Drives Empowered by EKF. - Mohsen Ebadpour; Mohammad (Behdad) Jamshidi; Jakub Talla; Hamed Hashemi-Dezaki; Zdenek Peroutka (Sensors, 2023)

A High-Efficiency Diplexer for Sustainable 5G-Enabled IoT in Metaverse Transportation System and Smart Grids. - Mohammad (Behdad) Jamshidi; Salah I. Yahya; Leila Nouri; Hamed Hashemi-Dezaki; Abbas Rezaei; Muhammad Akmal Chaudhary (Symmetry, 2023)

Future of Drug Discovery: The Synergy of Edge Computing, Internet of Medical Things, and Deep Learning. - Mohammad (Behdad) Jamshidi; Omid Moztarzadeh; Alireza Jamshidi; Ahmed Abdelgawad 001; Ayman S. El-Baz; Lukas Hauer (Future Internet, 2023)

A Super-Efficient TinyML Processor for the Edge Metaverse. - Arash Khajooei; Mohammad (Behdad) Jamshidi; Shahriar B. Shokouhi (Inf., 2023)

A Super-Efficient GSM Triplexer for 5G-Enabled IoT in Sustainable Smart Grid Edge Computing and the Metaverse. - Mohammad (Behdad) Jamshidi; Salah I. Yahya; Leila Nouri; Hamed Hashemi-Dezaki; Abbas Rezaei; Muhammad Akmal Chaudhary (Sensors, 2023)

A Fast Surrogate Model-Based Algorithm Using Multilayer Perceptron Neural Networks for Microwave Circuit Design. - Mohammad (Behdad) Jamshidi; Salah I. Yahya; Saeed Roshani; Muhammad Akmal Chaudhary; Yazeed Yasin Ghadi; Sobhan Roshani (Algorithms, 2023)

Implementing Tensor-Organized Memory for Message Retrieval Purposes in Neuromorphic Chips. - Arash Khajooei Nejad; Mohammad (Behdad) Jamshidi; Shahriar B. Shokouhi (Comput., 2023)

Metaverse and microorganism digital twins: A deep transfer learning approach. - Mohammad (Behdad) Jamshidi; Saleh Sargolzaei; Salimeh Foorginezhad; Omid Moztarzadeh (Appl. Soft Comput., 2023)

An intelligent digital twinning approach for complex circuits. - Mohammad (Behdad) Jamshidi; Saeedeh Lotfi; Hesam Siahkamari; Tomas Blecha; Jakub Talla; Zdenek Peroutka (Appl. Soft Comput., 2024)

CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins. - Mohammad Jamshidi 002; Dinh Thai Hoang; Diep N. Nguyen (IEEE Internet Things Mag., 2024)

Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning. - Mohammad (Behdad) Jamshidi; Dinh Thai Hoang; Diep N. Nguyen; Dusit Niyato; Majid Ebrahimi Warkiani (Comput. Biol. Medicine, 2025)

Enabling technologies for Web 3.0: A comprehensive survey. - Md Arif Hassan; Mohammad Behdad Jamshidi; Bui Duc Manh; Nam Hoai Chu; Chi-Hieu Nguyen; Nguyen Quang Hieu; Cong Thanh Nguyen 001; Dinh Thai Hoang; Diep N. Nguyen; Nguyen Van Huynh; Mohammad Abu Alsheikh; Eryk Dutkiewicz (Comput. Networks, 2025)