A.1. General
Salt and Pepper Noise Removal using Pixon-based Segmentation and Adaptive Median Filter

S. Asadi Amiri

Volume 8, Issue 1 , January 2020, , Pages 119-126


  Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. ...  Read More

A.1. General
Competitive Intelligence Text Mining: Words Speak

A. Zarei; M. Maleki; D. Feiz; M. A. Siahsarani kojuri

Volume 6, Issue 1 , March 2018, , Pages 79-92


  Competitive intelligence (CI) has become one of the major subjects for researchers in recent years. The present research is aimed to achieve a part of the CI by investigating the scientific articles on this field through text mining in three interrelated steps. In the first step, a total of 1143 articles ...  Read More

A.1. General
Sub-transmission sub-station expansion planning based on bacterial foraging optimization algorithm

H. Kiani Rad; Z. Moravej

Volume 5, Issue 1 , March 2017, , Pages 11-20


  In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders ...  Read More

A.1. General
Designing stable neural identifier based on Lyapunov method

F. Alibakhshi; M. Teshnehlab; M. Alibakhshi; M. Mansouri

Volume 3, Issue 2 , July 2015, , Pages 141-147


  The stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks. This paper suggests adaptive gradient descent algorithm with stable learning laws for modified dynamic neural network (MDNN) ...  Read More