‪Milad Shoryabi‬ - ‪Google Scholar‬

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Co-authors

Alireza RowhanimaneshAssociate Professor, University of NeyshaburVerified email at neyshabur.ac.ir
Ali ForoutanniaUniversity of CanberraVerified email at canberra.edu.au
mahdieh ghasemiAssistant Professor, Department of Biomedical Engineering, University of NeyshaburVerified email at neyshabur.ac.ir

Milad Shoryabi

Milad Shoryabi

Hakim Sabsevari University (HSU), Biomedical Engineering Dept.

Verified email at hsu.ac.ir

Biomedical Signal Processing Gait Assessment Artificial Intelligence Mental Disorders


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Novel Neural Approach For Classification of EEG Signals for Brain-Computer Interface M Shoryabi, A Foroutannia, A Rowhanimanesh, M Ghasemi	4	2019
SIN: A Programmable Platform for Swarm Robotics A Foroutannia, M Shouryabi, A Alizadeh, A Rowhanimanesh 26th International Computer Conference, Computer Society of Iran, Tehran, Iran, 2021	3	2021
A 3D Deep Learning Approach for Classification of Gait Abnormalities Using Microsoft Kinect V2 Sensor M Shouryabi, A Foroutannia, Rowhanimanesh, Alireza 26th International Computer Conference, Computer Society of Iran, Tehran, Iran, 2021	3	2021
Patent: Swarm Intelligent Robots for Industrial Applications AA A. Rowhanimanesh, A. Foroutannia, M. Shouryabi		2018
Swarm intelligent microrobots based on artificial attraction-repulsion forces AR Ali Foroutannia, Amir Alizadeh Anaraki, Milad Shouryabi The 1st International Conference on New Perspective in Electrical & Computer …, 2016		2016

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