◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mohammad Azangoo

3 papers hereh-index 480 citations5 works total

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

author position
  • first author3

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

fields
  • cs.HC1
  • cs.LG1
  • cs.RO1
same name
  • Mohammad Azangoo — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDigital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments

21 citations · 42 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2023★ 1 cited

Sitting on a gold mine: the story of the process industry's automatic formation of a digital twin

Mohammad Azangoo, Seppo Sierla, Valeriy Vyatkin

The use of a software tool chain to generate Digital Twins (DTs) automatically can speed up digitization and lower development costs. Engineering documents and system data are just…

cs.LG2021★ 20 cited

Hybrid Digital Twin for process industry using Apros simulation environment

Mohammad Azangoo, Joonas Salmi, Iivo Yrjölä +5

Making an updated and as-built model plays an important role in the life-cycle of a process plant. In particular, Digital Twin models must be precise to guarantee the efficiency an…

cs.RO2021★ 21 cited

Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments

Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech +1

Digital Twins are increasingly being introduced for smart manufacturing systems to improve the efficiency of the main disciplines of such systems. Formal techniques, such as graphs…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.