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- Hosein Mohamadi, Abdul Samad Ismail, Shaharuddin Salleh, Ali Nodehi
- Wireless Personal Communications
- 2013

- M. R .Daliri, Ali Nodehi, Amin Qorbani
- 2012

This article reviews a method of histograms based on descriptors of SIFT and SURF and their application in Recognition of three-dimensional object recognition from various view. This method will be provided for Recognition of objects in a set of three-dimensional objects and images of ETH80 databases to assess the effectiveness of methods used in… (More)

- Amin Ghorbani, Saeed Shiry, Ali Nodehi
- 2009 International Conference on Future Computer…
- 2009

Mobile robot global path planning in a static environment is an important problem. This paper proposes a method of global path planning based on genetic algorithm to reach an optimum path for mobile robot with obstacle avoidance. In this method for decreasing the complexity, the two-dimensional coding for the path via-points was converted to one-dimensional… (More)

- Hosein Mohamadi, Abdul Samad Ismail, Shaharuddin Salleh, Ali Nodehi
- The Journal of Supercomputing
- 2013

Wireless sensor networks (WSNs) have been widely used in different applications. One of the most significant issues in WSNs is developing an efficient algorithm to monitor all the targets and, at the same time, extend the network lifetime. As sensors are often densely deployed, employing scheduling algorithms can be considered a promising approach that is… (More)

- Ali Nodehi, Mohamad Tayarani, Fariborz Mahmoudi
- 2009 14th International CSI Computer Conference
- 2009

Quantum Evolutionary Algorithm (QEA) is a novel optimization algorithm which uses a probabilistic representation for solution and is highly suitable for combinatorial problems like Knapsack problem. Fractal image compression is a well-known problem which is in the class of NP-Hard problems. Genetic algorithms are widely used for fractal image compression… (More)

- Ali Nodehi, Ghazali Sulong, Mznah Al-Rodhaan, Amjad Rehman, Abdullah Al-Dhelaan, Tanzila Saba
- EURASIP J. Adv. Sig. Proc.
- 2014

QUANTUM EVOLUTIONARY ALGORITHM (QEA) IS A NOVEL OPTIMIZATION ALGORITHM, PROPOSED FOR COMBINATORIAL PROBLEMS LIKE KNAPSACK AND TRAP PROBLEMS. WHILE FRACTAL IMAGE COMPRESSION IS IN THE CLASS OF NP-HARD PROBLEMS AND QEA IS HIGHLY SUITABLE FOR THE CLASS OF COMBINATORIAL PROBLEMS, QEA IS NOT WIDELY USED IN FRACTAL IMAGE COMPRESSION YET. IN ORDER TO IMPROVE THE… (More)

Fractal Image Compression is a well-known problem which is in the class of NP-Hard problems. Quantum Evolutionary Algorithm is a novel optimization algorithm which uses a probabilistic representation for solutions and is highly suitable for combinatorial problems like Knapsack problem. Genetic algorithms are widely used for fractal image compression… (More)

- Hossein Mohamadi, Ali Nodehi, Mohamad Tayarani
- 2010 The 2nd International Conference on Computer…
- 2010

Fractal Image Compression is an optimization problem in the class of NP-Hard problems. Quantum Evolutionary Algorithm is a novel optimization algorithm proposed for class of combinatorial problems like Knapsack problem. While QEA is highly suitable for NP-Hard problems, QEA is not widely used in Fractal Image Compression. In order to improve the performance… (More)

- Amin Qorbani, Ali Nodehi, Ali Ahmadi, Saeed Nodehi
- 2011 Sixth International Conference on Bio…
- 2011

Fractal Image Compression is a well-known problem which is in the class of NP-Hard problems. Quantum Evolutionary Algorithm is a novel optimization algorithm which uses a probabilistic representation for solutions and is highly suitable for combinatorial problems like Knapsack problem. Genetic algorithms are widely used for fractal image compression… (More)