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One of the major issues concerning the Artificial Neural Networks (ANNs) design is a proper adjustment of the weights of the network. There have been a number of studies comparing the performance of evolutionary and gradient based ANNs learning. But the results of the studies, sometime conflicting to each other although the same and standard dataset development had been used. Motivated by this finding,...
An evaluation study performed in Arabic language on the five web search engines Araby, Ayna, Google, MSN and Yahoo aimed to compare how good these search engines can satisfy the information needs of native Arab users on the internet in their mother tongue. The top ten search results for fifty randomly selected search queries and the descriptions of these results in the search results list were evaluated...
In this paper a new criterion is introduced for the discrete covering problem. Using the representation of a possibility measure through associated probabilities, a new criterion for discrete covering problem is constructed based on aggregation by the Monotone Expectation (ME) (or Choquet integral). In this criterion the a priori information represented by a possibility measure and a misbelief distribution...
Data Driven DSS is one of the five types of decision support systems that can be more powerful in telecommunications industry especially data warehousing for handling the massive amounts of data DSSs assist telecommunications companies in achieving a competitive advantage and higher profits. The theme of this paper is to focus on the decision support system in telecommunications companies and why...
This paper regards a group decision-making process, where experts' estimates are expressed by triangular fuzzy numbers (TFNs). It presents an approach for determination of the degree of coordination, the closeness of these opinions. The implementation of the idea is based on the metric approach providing an easy procedure to determine the coordination degree of experts' opinions. A concept of the...
In this paper a parallel optoelectronic computer architecture is proposed for expert systems in order to achieve high speed and high performance for parallel processing of rule-based systems. The proposed system is modeled and implemented using a two-dimensional space optics symbolic correlator to perform the comparison operations of the expert system. Also in this paper, an optoelectronic system...
An Intelligent Tutoring Systems (ITS) is concerned with the construction of intelligent softwares helping students overcoming different problems in their learning process. We present in this work a novel Multicriteria Bayesian Intelligent Tutoring System MBITS used to help students overcoming their their lack of comprehension of concepts in a course. It is based on a Bayesian Network (BN) to model...
A novel solution is proposed to an important problem of learning real querying preferences and intentions from users who need to retrieve interesting information from a database but are not in a position to specify their information needs and/or intentions using a query language due to lack of knowledge and/or experience. A solution is proposed that is based on the presentation to the user of consecutive...
Large databases with uncertainty became more common in many applications. Ranking queries are essential tools to process these databases and return only the most relevant answers of a query, based on a scoring function. Many approaches were proposed to study and analyze the problem of efficiently answering such ranking queries. Managing distributed uncertain database is also an important issue. In...
This work presents a novel proposal for incremental intruder detection in collaborative recommender systems. We explore the use of rare association rule mining to reveal the existence of a suspected raid of attackers that would alter the normal behaviour of a rating-based system. In this position paper we have extended our previous G3PARM algorithm, which has already proven to serve as a solid method...
In this paper, we consider the problem of analysis and visualization of online conversations (chat histories, email archives, etc.). We present a dynamic graph drawing algorithm based on modification of multidimensional scaling. The algorithm builds a layout of sequence of graphs and produces a slice view of the evolution of online communications. The method have been applied for visualization of...
The extraction of temporal information from text documents is becoming increasingly important in many applications such as natural language processing, information retrieval, question answering, etc. Indeed, the temporal dimension plays a key role on most of these systems, promoting better performance. Our goal is the definition of a temporal document representation, incorporating the time dimension...
Composition style is often an important factor in readers' selection of reading materials. For example, a reader may seek out articles written in similar style as his or her favorite writer. We present a new method for providing recommendations based on the composition style. Our algorithm analyzes and encodes the readability index and syntactical structure of a model document, and then searches for...
Recently, considerable research has been done to reduce the gap between direct observation of a scene and its recorded image. Typically the differences exist because of the high dynamic range compression capability of the human visual systems, and its capacity for color constancy. In this paper we define a new method that provides dynamic range compression, color consistency and color rendition for...
This paper proposes a novel wavelet based nonlinear image enhancement algorithm, including dynamic range compression, contrast enhancement and color restoration, for recorded images in non-uniform and uniform-dark lightning conditions. Dynamic range compression (DRC) has been applied by nonlinear function for enhancing dark and reducing the intensity of bright regions. The intensity has been tuned...
Considering recent developments in the field of carry-save representation in synthesis of arithmetic circuits, it was considered imperative to develop an automated system to optimize an arithmetic circuit design to handle cases of practical interest, including scattered logic, and generate an optimized solution in Verilog; so that it could reduce both design and debugging costs drastically. We, therefore,...
The generalized assignment problem is a well-known NP-complete problem whose objective is to find a minimum cost assignment of a set of jobs to a set of agents by considering the resource constraints. Dynamic instances of the generalized assignment problem can be created by changing the resource consumptions, capacity constraints and costs of jobs. Memory-based approaches are among a set of evolutionary...
Information monitoring is a very essential activity for management, control and decision making in various applications. This paper proposes an intelligent system for monitoring information sources that consists of many adaptive agents cooperate with each other in order to monitor every information item updates at the right time without over loading of system resources. The main key of the presented...
A novel soft computing system to optimize a dental milling process is proposed. The model is based on the initial application of several statistical and projection methods as Principal Component Analysis and Cooperative Maximum Likelihood Hebbian Learning to analyze the structure of the data set and to identify the most relevant variables. Finally, a supervised neural model and identification techniques...
In this work, we propose an approach of thematisation of audiovisual (AV) documents for a research according to topics evoked in each document. The first step of our approach is to define the descriptive metadata allowing a bibliographical description of the whole documents. The second step is divided into three stages: the first one is a temporal segmentation, the second one is space segmentation...
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