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The following topics are dealt with: neural networks; fuzzy systems; evolutionary computation; adaptive dynamic programming and reinforcement learning; computational finance and economics; data mining; computer games; virtual reality; intelligent systems; robotics and cybernetics engineering; operations research; signal processing; human factors, and social issues; parallel and distributed architectures;...
This presentation describes several technical aspects of mobile devices, sensor networks, web technologies, multimedia applications, and context sensitive services in information systems for museums developed at the author's university. Additionally, it will include several ideas and techniques in Green IT. It examines key features of the technologies and the systems, shows multiple methods of using...
Summary form only given. Secure Multiparty Computation (SMC) allows multiple parties to perform computation on their private data to evaluate some function of their common interest. In this paradigm the individual data should be kept secret from other parties and the result of the computation should be available to all the parties. This subject of information security has created enormous interest...
Summary form only given. The increase of ICT and digital data storage, in industrial, financial, healthcare or other application areas with the increasing amounts of collection of images, signals and other types of data certainly provides several research challenges. There is a need to design intelligent tools to extract the underlying information, predict, diagnose, estimate or make use of it in...
Go game known in Chinese as weiqi is an ancient board game for two players who alternately place black and white stones on the vacant intersections of a grid of 19×19 lines. Once placed on the board, stones cannot be moved elsewhere, unless they are surrounded and captured by the opponent's stones. Placing stones close together helps them support each other and avoid capture. On the other hand, placing...
In this paper we develop a novel pulse radar detection scheme using Support Vector Machines (SVMs). SVMs are a powerful tool for pattern classification. Exploiting this, we design a SVM for pulse radar detection of targets embedded in noise. An adaptive pre-processing stage is included when the echoes are very weak. It is observed that the signal-to-side lobe ratio obtained is much higher compared...
The active magnetic bearing AMB presents a solution for all technical problems since it ensures the total levitation of a body in space eliminating any mechanical contact between the rotor and the stator. The goal of our work is to show that the control of the AMB by Multilayer perceptrons MLP involves an improvement of the response compared to the control of the AMB by classical controllers. The...
Steganography is an additional method leading to better securing messages up which goes hand by hand with the cryptography. This is the reason why revealing of such a message is difficult because a final steganogram uses multimedia or other transportation media along with genuine functionality. This paper deals with a blind steganalysis based on a universal neural network classification and compares...
Prediction models based on different concepts have been proposed in recent years. The accuracy rates resulting from linear models such as exponential smoothing, linear regression (LR) and autoregressive integrated moving average (ARIMA) are not high as they are poor in handling the nonlinear relationships among the data. Neural network models are considered to be better in handling such nonlinear...
Multiple classifier systems or ensemble is an idea that is relevant both to neural computing and to machine learning community. Different MCSs can be designed for creating classifier ensembles with different combination functions. However, the best MCS can only be determined by performance evaluation. In this study, MCS is used to construct discriminant set that was used to discriminate the difficult...
Digital image processing is a rapidly growing area of computer science since it was introduced and developed in the 1960's. In the case of flower classification, image processing is a crucial step for computer-aided plant species identification. Colour of the flower plays very important role in image classification since it gives additional information in terms of segmentation and recognition. On...
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