this paper) formulating it this way: Note that Eberhart et al. identify computational intelligence and adaptation

Abstract. Two decades with the advent of methods based on artificial intelligence and genetics. Algorithm directly based upon different parameters to predict water engineering is highly developed Accurate prediction of flow in rivers, always as one of the most important factors in safe and economic

Abstract not found

approach use is made of Computational Intelligence techniques and Qualitative Control. The work reported here is the object of ongoing bilateral research project between Greece and Slovenia. The objective of the project is to seek ways to enhance the performance of existing wastewater treatment plants

Computers and Thought are the two categories that together define Artificial Intelligence as a discipline. It is generally accepted that work in Artificial Intelligence over the last thirty years has had a strong influence on aspects of computer architectures. In this paper we also make

adaptive distance measures

transcription. The proposed system consists of two subsystems, the real–time separation and the training module. The real–time separation module is based on the use of characteristic filters, combining simple bandpass filtering and amplification, a fact that diminishes computational cost and potentially renders

How must st I conduct ct statistical comparisons in my Experimental perimental Study? On the use of Nonparametric Tests and Case Studies.

We propose a Particle Filter model that incorporates Particle Swarm Optimization for predicting systems with multiplicative noise. The proposed model employs a conventional multiobjective optimization approach to weight the likelihood and prior of the filter in order to alleviate the particle impoverishment problem. The resulting scheme is tested on a well–known test problem with multiplicative noise. Results are promising, especially in cases of high system and measurement noise levels.

Scanning two book pages at the same time helps to accelerate the scanning process but on the other hand introduces several difficulties if the user needs to have one page per image. A major difficulty is the appearance of noisy black borders around text areas as well as of noisy black stripes between the two pages. In this paper, we propose a novel algorithm for detecting the page frames on double page document images. Our aim is to split the image into the two pages as well as to remove noisy borders. First we apply a pre-processing which includes binarization, noise removal and image smoothing. Then, we detect the vertical zones of the two pages. In this stage, we introduce the vertical white run projections which have been proved efficient for detecting vertical zones of text areas. Finally, the horizontal zones of the two pages are detected based on horizontal white run projections. The experimental results on several double page document images from fifteen different books demonstrate the effectiveness of the proposed technique. 1.