11 citations · 11 across the 1 of their papers we have counts for
6 papers
Fluid segmentation in Neutrosophic domain
Elyas Rashno, Abdolreza Rashno, Sadegh Fadaei
Optical coherence tomography (OCT) as retina imaging technology is currently used by ophthalmologist as a non-invasive and non-contact method for diagnosis of agerelated degenerati…
Content-based image retrieval speedup
Sadegh Fadaei, Abdolreza Rashno, Elyas Rashno
Content-based image retrieval (CBIR) is a task of retrieving images from their contents. Since retrieval process is a time-consuming task in large image databases, acceleration met…
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
Elyas Rashno, Ahmad Akbari, Babak Nasersharif
Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy sp…
Content-based image retrieval system with most relevant features among wavelet and color features
Abdolreza Rashno, Elyas Rashno
Content-based image retrieval (CBIR) has become one of the most important research directions in the domain of digital data management. In this paper, a new feature extraction sche…
Certainty of outlier and boundary points processing in data mining
Elyas Rashno, Sanaz Saki Norouzi, Behrouz Minaei-bidgoli +1
Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem. We…
An effective clustering method based on data indeterminacy in neutrosophic set domain
Elyas Rashno, Behrouz Minaei-Bidgolia, Yanhui Guo
In this work, a new clustering algorithm is proposed based on neutrosophic set (NS) theory. The main contribution is to use NS to handle boundary and outlier points as challenging…