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Ahmad Kalhor

4 papers here

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CE1
  • cs.CV1
ORCID 0000-0001-6657-6705
same name
  • Ahmad Kalhor — 2 papers
  • Ahmad Kalhor — 1 paper, h 14
  • Ahmad Kalhor — 1 paper, h 1
  • Ahmad Kalhor — 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 citedImproving the Successful Robotic Grasp Detection Using Convolutional Neural Networks

16 citations · 25 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CE2024

Boosting Bitcoin Minute Trend Prediction Using the Separation Index

Zeinab Shahsafdari, Ahmad Kalhor

Predicting the trend of Bitcoin, a highly volatile cryptocurrency, remains a challenging task. Accurate forecasting holds immense potential for investors and market participants de…

cs.RO2024★ 16 cited

Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks

Hamed Hosseini, Mehdi Tale Masouleh, Ahmad Kalhor

Robotic grasp should be carried out in a real-time manner by proper accuracy. Perception is the first and significant step in this procedure. This paper proposes an improved pipeli…

cs.RO2024★ 6 cited

AGILE: Approach-based Grasp Inference Learned from Element Decomposition

MohammadHossein Koosheshi, Hamed Hosseini, Mehdi Tale Masouleh +2

Humans, this species expert in grasp detection, can grasp objects by taking into account hand-object positioning information. This work proposes a method to enable a robot manipula…

cs.CV2021★ 3 cited

A Deep Learning Based Automated Hand Hygiene Training System

Mobina Shahbandeh, Fatemeh Ghaffarpour, Sina Vali +4

Hand hygiene is crucial for preventing viruses and infections. Due to the pervasive outbreak of COVID-19, wearing a mask and hand hygiene appear to be the most effective ways for t…

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