Eshagh Faraji
Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran | Young Researchers and Elite Club, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran
[ 1 ] - Combining Classifier Guided by Semi-Supervision
The article suggests an algorithm for regular classifier ensemble methodology. The proposed methodology is based on possibilistic aggregation to classify samples. The argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. The optimization aims at learning backgrounds as solid clusters in subspaces of the high...
[ 2 ] - Combining Classifier Guided by Semi-Supervision
The article suggests an algorithm for regular classifier ensemble methodology. The proposed methodology is based on possibilistic aggregation to classify samples. The argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. The optimization aims at learning backgrounds as solid clusters in subspaces of the high...
[ 3 ] - Planning and Operation of the Active and Reactive sources Constrained to Voltage Security in the Reconfigurable Smart Distribution Network
One of the most important objectives of smart distribution networks (SDNs) is to achieve a secure and reliable network. This can be realized by optimal operation in the presence of active power sources such as the distributed generations (DGs), reactive power sources such as switched capacitor bank (SCB), active loads such as the demand response program (DRP), and various network management str...
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