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researcher

M. Sayad

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.soft1
  • cs.LG1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedPhysics-Data Driven Machine Learning Based Model: A Hybrid Way for Nonlinear, Dynamic, and Open-loop Identification of IPMC Soft Artificial Muscles

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 2 cited

Physics-Data Driven Machine Learning Based Model: A Hybrid Way for Nonlinear, Dynamic, and Open-loop Identification of IPMC Soft Artificial Muscles

Mohsen Annabestani, Mohammad Hossein Sayyad, Zahra Meskar +2

Ionic Polymer Metal Composites (IPMCs) are one of the most preferred choices among biocompatible materials for industrial and biomedical applications. Despite their advantages, som…

cond-mat.soft2021★ 1 cited

Toward a High Performance IPMC Soft Actuator using A disturbance-aided method

Mohsen Annabestani, Mohammad Hossein Sayad, Pouria Esmaeili-Dokht +1

Besides the advantages of Ionic polymer-metal composites (IPMCs) for biomedical applications, there are some drawbacks in their performance, which can be enhanced. One of those cri…

q-bio.QM2021

A novel fully 3D, microfluidic-oriented, gel-based and low cost stretchable soft sensor

Mohsen Annabestani, Pouria Esmaili-Dokht, Seyyed Ali Olianasab +6

In this paper, a novel fully 3D, microfluidic-oriented, gel-based, and low-cost highly stretchable resistive sensors have been presented. By the proposed method we are able to meas…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.