Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sara Ershadi"'
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 11, Iss 5, Pp 2162-2166 (2022)
Objectives: Implantation failure is a major problem in reproductive medicine, and despite the various methods described for treatment, there is little consensus on the most effective method. This study was conducted to investigate the effect of intra
Externí odkaz:
https://doaj.org/article/c8ff85e86c314140b06f1f57cd4b5150
Publikováno v:
Crescent Journal of Medical and Biological Sciences, Vol 6, Iss 3, Pp 335-340 (2019)
Objectives: Polycystic ovarian syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age (6.8%-18%) and is one of the leading causes of infertility due to ovulation factors in 55%-70% of infertile women. In this study
Externí odkaz:
https://doaj.org/article/b4a499b355164af8b5518dbc0342113f
Publikováno v:
Industry 4.0 Vision for Energy and Materials. :159-187
Autor:
Arghavan Irankhah, Sahar Rezazadeh Saatlou, Mohammad Hossein Yaghmaee, Sara Ershadi-Nasab, Mohammad Alishahi
Publikováno v:
2022 12th International Conference on Computer and Knowledge Engineering (ICCKE).
Publikováno v:
Multimedia Tools and Applications. 80:2461-2488
Multiple human 3D pose estimation is a useful but challenging task in computer vison applications. The ambiguities in estimation of 2D and 3D poses of multiple persons can be verified by using multi-view frames, in which the occluded or self-occluded
Publikováno v:
Journal of family medicine and primary care. 11(5)
Implantation failure is a major problem in reproductive medicine, and despite the various methods described for treatment, there is little consensus on the most effective method. This study was conducted to investigate the effect of intrauterine inje
Publikováno v:
Journal of Family Medicine and Primary Care. 11:2162
Publikováno v:
Electronics Letters. 54:292-293
Estimation of 3D human pose from a single image is a challenging task because of ambiguities in projection from 3D space to the 2D image plane. A new two-stage deep convolutional neural network-based method is proposed for regressing the distance and
Autor:
Shohreh Kasaei, Sadegh Ramezanpour, Esmaeil Sanaei, Sadjad Fouladi Ghaleh, Sara Ershadi Nasab
Publikováno v:
7'th International Symposium on Telecommunications (IST'2014).
Noise is inherent in digital systems. To smooth a point cloud while preserving sharp edges, a new 3D bilateral filter is proposed. It uses the point cloud normal vector in addition to color as a position vector for preserving sharp edges while smooth
Publikováno v:
2014 6th Conference on Information and Knowledge Technology (IKT).
Segmentation of a scene to the part made is a challenging work. In this paper a graphical model is used for this task. The methods based on geometrical derivatives such as curvature and normal often haven't good result in segmentation of geometricall