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of 9
pro vyhledávání: '"Yasin Orouskhani"'
Autor:
Mona Kharaji, Hossein Abbasi, Yasin Orouskhani, Mostafa Shomalzadeh, Foad Kazemi, Maysam Orouskhani
Publikováno v:
Neuroscience Informatics, Vol 4, Iss 2, Pp 100156- (2024)
Automated brain tumor segmentation from magnetic resonance (MR) images plays a crucial role in precise diagnosis and treatment monitoring in brain tumor care. Leveraging the Brain Tumor Segmentation Challenge (BraTS) dataset, this paper introduces an
Externí odkaz:
https://doaj.org/article/80db3e46dbdf4ee0af4d8e7273f06d8d
Autor:
Maysam Orouskhani, Chengcheng Zhu, Sahar Rostamian, Firoozeh Shomal Zadeh, Mehrzad Shafiei, Yasin Orouskhani
Publikováno v:
Neuroscience Informatics, Vol 2, Iss 4, Pp 100066- (2022)
Alzheimer's disease (AD) as an advanced brain disorder may cause damage to the memory and tissue loss in the brain. Since AD is a mostly costly disease, various deep learning-based models have been presented to achieve a high accuracy classifier to A
Externí odkaz:
https://doaj.org/article/25d5579397bc42728b17ba297d000a74
Publikováno v:
Royal Society Open Science, Vol 4, Iss 2 (2017)
Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion
Externí odkaz:
https://doaj.org/article/9ccd573edf074cfa821c844891c90fbc
Publikováno v:
Neural Networks. 137:54-62
Few-shot learning tries to solve the problems that suffer the limited number of samples. In this paper we present a novel conditional Triplet loss for solving few-shot problems using deep metric learning. While the conventional Triplet loss suffers t
Publikováno v:
Expert Systems with Applications. 165:113916
Evolutionary clustering (EC) refers to the applications of evolutionary optimization algorithms such as genetic algorithm to data clustering. Although multi-objective evolutionary clustering algorithms were proposed to simultaneously consider differe
Publikováno v:
International Journal of Information Technology and Computer Science. 5:32-41
Cat Swarm Optimization (CSO) is one of the new swarm intelligence algorithms for finding the best global solution. Because of complexity, sometimes the pure CSO takes a long time to converge and cannot achieve the accurate solution. For solving this
Publikováno v:
Scientific Reports
Controlling dynamics of a network from any initial state to a final desired state has many applications in different disciplines from engineering to biology and social sciences. In this work, we optimize the network structure for pinning control. The
Publikováno v:
Royal Society Open Science, Vol 4, Iss 2 (2017)
Royal Society Open Science
Royal Society Open Science
Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion
A HYBRID METHOD OF MODIFIED CAT SWARM OPTIMIZATION AND GRADIENT DESCENT ALGORITHM FOR TRAINING ANFIS
Publikováno v:
International Journal of Computational Intelligence and Applications. 12:1350007
This paper introduces a novel approach for tuning the parameters of the adaptive network-based fuzzy inference system (ANFIS). In the commonly used training methods, the antecedent and consequent parameters of ANFIS are trained by gradient-based algo