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

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

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

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

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

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

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Metaverse and AI Digital Twinning of 42SiCr Steel Alloys by Omid Khalaj, Mohammad (Behdad) Jamshidi, Parsa Hassas, Marziyeh Hosseininezhad, Bohuslav Mašek, Ctibor Štadler, Jiří Svoboda

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Metaverse and Medical Diagnosis: A Blockchain-Based Digital Twinning Approach Based on MobileNetV2 Algorithm for Cervical Vertebral Maturation by Omid Moztarzadeh, Mohammad (Behdad) Jamshidi, Saleh Sargolzaei, Fatemeh Keikhaee, Alireza Jamshidi, Shabnam Shadroo, Lukas Hauer

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

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

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Metaverse and Healthcare: Machine Learning-Enabled Digital Twins of Cancer by Omid Moztarzadeh, Mohammad (Behdad) Jamshidi, Saleh Sargolzaei, Alireza Jamshidi, Nasimeh Baghalipour, Mona Malekzadeh Moghani, Lukas Hauer

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Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19 by Mohammad (Behdad) Jamshidi, Sobhan Roshani, Fatemeh Daneshfar, Ali Lalbakhsh, Saeed Roshani, Fariborz Parandin, Zahra Malek, Jakub Talla, Zdeněk Peroutka, Alireza Jamshidi, Farimah Hadjilooei, Pedram Lalbakhsh

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A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading by Mohammad Behdad Jamshidi, Sobhan Roshani, Jakub Talla, Ali Lalbakhsh, Zdeněk Peroutka, Saeed Roshani, Fariborz Parandin, Zahra Malek, Fatemeh Daneshfar, Hamid Reza Niazkar, Saeedeh Lotfi, Asal Sabet, Mojgan Dehghani, Farimah Hadjilooei, Maryam S. Sharifi-Atashgah, Pedram Lalbakhsh

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