Zobrazeno 1 - 10
of 59
pro vyhledávání: '"N. Mehrshad"'
Publikováno v:
Iranian Journal of Electrical and Electronic Engineering, Vol 16, Iss 4, Pp 461-473 (2020)
In order to enhance the accuracy of the motion vector (MV) estimation and also reduce the error propagation issue during the estimation, in this paper, a new adaptive error concealment (EC) approach is proposed based on the information extracted from
Externí odkaz:
https://doaj.org/article/f6c5003c2e5e4774b191e0223ce8813d
Akademický článek
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Publikováno v:
Chemical Engineering Communications. 202:911-919
Machine vision technology now offers a viable means of monitoring and control of froth flotation systems. In this study the relationship between process conditions and the surface bubble size as well as the process performance in the batch flotation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57e9834dc3cb2f7481882142c2c4a590
https://doi.org/10.1080/00986445.2014.886201
https://doi.org/10.1080/00986445.2014.886201
Publikováno v:
Powder Technology. 261:185-190
Monitoring and controlling particle size distribution in crushing and grinding circuits are essential for improved energy efficiency and metallurgical performance. Machine vision is probably the most suitable approach for on-line particle size estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abdf0ec6b69e3c120cab2c74b92af2ce
https://doi.org/10.1016/j.powtec.2014.04.038
https://doi.org/10.1016/j.powtec.2014.04.038
Publikováno v:
Chemical Engineering Communications. 201:896-908
In the mineral production industry, separation of valuable from gangue minerals is generally carried out using the flotation process. Mineral recovery into the concentrate and the grade of the concentrate are the main metallurgical parameters of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::118798a16831c14c0f5eeefac5a78c2c
https://doi.org/10.1080/00986445.2013.790815
https://doi.org/10.1080/00986445.2013.790815
Publikováno v:
American Journal of Biomedical Engineering. 1:26-34
Classification of the sound heart into different valve-physiological heart disease categories is a complex pattern recognition task. In this paper application of various types of neural networks are introduced for diagnosing heart disease). At first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab4df2ad622bd3ccae3aacfea677d17f
https://doi.org/10.5923/j.ajbe.20110101.05
https://doi.org/10.5923/j.ajbe.20110101.05
Autor:
N. Mehrshad, M. Massinaei
Publikováno v:
Scopus-Elsevier
Research and experience have demonstrated that the operating conditions of the flotation process are reflected in the froth’s appearance. Despite recent advances in image analysis and several algorithms developed for froth flotation, there still is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1d531e75f6849b02a998eb9c3f6fdba
https://doi.org/10.1007/bf03402247
https://doi.org/10.1007/bf03402247
Publikováno v:
Journal of Medical Engineering & Technology. 35:224-230
In this paper a closed-loop control algorithm for blood glucose regulation in type 1 diabetic patients is proposed by using the Mamdani-type fuzzy method. Because of the presence of high-pass proportional derivatives in fuzzy designing, optimal value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09d51a9780de72f100ec530277b97f5b
https://doi.org/10.3109/03091902.2011.569050
https://doi.org/10.3109/03091902.2011.569050
Publikováno v:
2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA).
Machine vision technology now offers a viable means of monitoring and controlling flotation performance. In this study an image analysis algorithm utilizing an adaptive marker based watershed transform was developed to segment the froth images and me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bab0b2b4e6ed5591e003be949ab3f276
https://doi.org/10.1109/pria.2013.6528458
https://doi.org/10.1109/pria.2013.6528458
Publikováno v:
2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA).
In recent years, use of the artificial neural networks has been considered in predicting the effects of different variables on a given variable and modeling these variables have with one another. In this research, first, artificial neural networks ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38dca62419735d3efafa097e3dbb09f5
https://doi.org/10.1109/pria.2013.6528455
https://doi.org/10.1109/pria.2013.6528455