Saeid Minaei

Orcid: 0000-0003-2241-5621

Affiliations:
  • Tarbiat Modares University, Tehran, Iran


According to our database1, Saeid Minaei authored at least 12 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Comparison of Stereo Matching Algorithms for the Development of Disparity Map.
CoRR, 2022

Field-scale estimation of sugarcane leaf nitrogen content using vegetation indices and spectral bands of Sentinel-2: Application of random forest and support vector regression.
Comput. Electron. Agric., 2022

2021
Development of an Optical Smart Portable Instrument for Fruit Quality Detection.
IEEE Trans. Instrum. Meas., 2021

Remaining useful life (RUL) prediction of internal combustion engine timing belt based on vibration signals and artificial neural network.
Neural Comput. Appl., 2021

Estimation of Leaf Area in Bell Pepper Plant using Image Processing techniques and Artificial Neural Networks.
Proceedings of the IEEE International Conference on Signal and Image Processing Applications, 2021

2020
Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls.
Comput. Electron. Agric., 2020

2018
Hyperspectral imaging, a non-destructive technique in medicinal and aromatic plant products industry: Current status and potential future applications.
Comput. Electron. Agric., 2018

2017
Integration of computer vision and electronic nose as non-destructive systems for saffron adulteration detection.
Comput. Electron. Agric., 2017

Vision-based pest detection based on SVM classification method.
Comput. Electron. Agric., 2017

2016
Design, development and performance evaluation of an automatic control system for rice whitening machine based on computer vision and fuzzy logic.
Comput. Electron. Agric., 2016

2015
Ultrasonic sensing of pistachio canopy for low-volume precision spraying.
Comput. Electron. Agric., 2015

Machine vision system for grading of dried figs.
Comput. Electron. Agric., 2015


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