• 64 Citations
  • 4 h-Index
20122020
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Research Output 2012 2020

  • 64 Citations
  • 4 h-Index
  • 7 Conference proceeding
  • 6 Article
  • 2 Poster
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Article
2019

Robust hand-eye calibration of 2D laser sensors using a single-plane calibration artefact

Sharifzadeh, S., Biro, I. & Kinnell, P., 24 Jun 2019, In : Robotics and Computer-Integrated Manufacturing. 61, 10 p., 101823.

Research output: Contribution to journalArticle

Calibration
Laser
Robot
Robots
Sensor
2018
4 Citations (Scopus)
32 Downloads (Pure)

Abnormality detection strategies for surface inspection using robot mounted laser scanners

Sharifzadeh, S., Biro, I., Lohse, N. & Kinnell, P., May 2018, In : Mechatronics. 51, p. 59-74 16 p.

Research output: Contribution to journalArticle

Open Access
File
Inspection
Robots
Lasers
Geometry
Surface measurement
2017
7 Citations (Scopus)

Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection

Sharifzadeh, S., Ghodsi, A., Clemmensen, L. H. & Ersbøll, B. K., 1 Oct 2017, In : Engineering Applications of Artificial Intelligence. 65, p. 168-177 10 p.

Research output: Contribution to journalArticle

Principal component analysis
Labels
Processing
Feature extraction
Decomposition
2016
1 Citation (Scopus)
16 Downloads (Pure)

Robust Surface Abnormality Detection for a Robotic Inspection System

Sharifzadeh, S., Biro, I., Lohse, N. & Kinnell, P., 10 Nov 2016, In : IFAC-PapersOnLine. 49, 21, p. 301-308 8 p.

Research output: Contribution to journalArticle

Open Access
File
Robotics
Inspection
Lasers
Classifiers
Robots
2014
33 Citations (Scopus)
91 Downloads (Pure)

Supervised feature selection for linear and non-linear regression of L⁎ a⁎ b⁎ color from multispectral images of meat

Sharifzadeh, S., Clemmensen, L. H., Borggaard, C., Stoier, S. & Ersbøll, B. K., Jan 2014, In : Engineering Applications of Artificial Intelligence. 27, p. 211-227 17 p.

Research output: Contribution to journalArticle

Open Access
File
Meats
Feature extraction
Color
Principal component analysis
Colorimeters
2013
8 Citations (Scopus)

A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy

V Martínez Vega, M., Sharifzadeh, S., Wulfohn, D., Skov, T., Harder Clemmensen, L. & B Toldam‐Andersen, T., Apr 2013, In : Journal of the Science of Food and Agriculture. 93, 15, p. 3710-3719 9 p.

Research output: Contribution to journalArticle

infrared spectroscopy
Malus
Spectrum Analysis
Eating
apples