Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Mansoor Rezghi"'
Publikováno v:
International Journal of Information Science and Management, Vol 21, Iss 3, Pp 67-93 (2023)
Considering the importance of knowledge extraction as one of the stages of knowledge acquisition in the organization, this article aims to identify the effective components and dimensions of intelligent knowledge extraction and determine the importan
Externí odkaz:
https://doaj.org/article/aaebf888aacd410dbd58efb6e0e46214
Autor:
Mahdi Rajabizadeh, Mansoor Rezghi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Abstract Automated snake image identification is important from different points of view, most importantly, snake bite management. Auto-identification of snake images might help the avoidance of venomous snakes and also providing better treatment for
Externí odkaz:
https://doaj.org/article/7341c93c3cce4e6db0be564de287740a
Autor:
Ali Noroozi, Mansoor Rezghi
Publikováno v:
Frontiers in Neuroinformatics, Vol 14 (2020)
Recently, machine learning methods have gained lots of attention from researchers seeking to analyze brain images such as Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) to obtain a deeper understanding of the brain and such related dis
Externí odkaz:
https://doaj.org/article/b3c16446f9094fc79b5b2fe119047c84
Publikováno v:
International Journal of Machine Learning and Cybernetics. 14:1579-1590
Autor:
Tayyebeh Saeedi, Mansoor Rezghi
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:519-530
In recent years, matrix completion has become one of the main concepts in data science. Truncated nuclear norm regularization (TNNR) approximation of the rank function is an example of the favorite approaches in matrix completion that performs better
Publikováno v:
Applied Intelligence. 52:4443-4457
In machine learning, a data set is often viewed as a point set distributed on a manifold. Using Euclidean norms to measure the proximity of this data set reduces the efficiency of learning methods. Also, many algorithms like Laplacian Eigenmaps or sp
Publikováno v:
Mathematical Methods in the Applied Sciences. 44:7250-7261
Publikováno v:
Expert Systems with Applications. 213:118848
Publikováno v:
Iranian Journal of Science and Technology, Transactions A: Science. 44:1803-1814
This paper introduces a new hybrid fractional model for image denoising. This proposed model is a combination of two models Rudin–Osher–Fatemi and fractional-order total variation. We try to use the advantages of two mentioned models. In this reg
Publikováno v:
Applied Intelligence. 51:736-751
Fault diagnostics and prognostics are important topics both in practice and research. There is an intense pressure on industrial plants to continue reducing unscheduled downtime, performance degradation, and safety hazards, which requires detecting a