Research ArticleOpen accessIn the abstractFace Recognition using Eigenfaces and Neural NetworksMohamed Rizon, Muhammad Firdaus Hashim, Puteh Saad et al.In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is then projecting onto human faces to identify unique features vectors. This significant features vector can be used to identify an unknown face by … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 6,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Framework for Developing Experience Based e-Negotiation SystemHasan Al-Sakran, Irina SerguievskaiaIn this study we propose multi-agent distributed electronic negotiation system, where the learning process is facilitated by using the CBR approach in combination with case database and addition of ability to roam through a network allows considering outside options using mobile agent technology. CBR is an AI methodology which combines re-use of the past experiences with case base. Cases similar … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 6,893 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Neural Network to Recognize the Parts of the Computer MotherboardAbbas M. Ali, S. D. Gore, Musaab AL-SarierahThis study suggests a new approach of learning which utilizes the techniques of computer vision to recognize the parts inside the motherboard. The main thrust is to identify different parts of the motherboard using a Hopfield Neural Network. The outcome of the net is compared with the objects stored in the database. The proposed scheme is implemented using bottom -up … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 6,865 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Model for Multi-agent Case-base Reasoning SystemsAbdel Badeea Salem, Aldahoud Ali, Ibrahiem M. M. El EmaryMulti-Agent Systems (MASs) and Case-Based Reasoning (CBR) are two recent and hot paradigms in artificial intelligence field. CBR is a reasoning methodology based on old experience reasoning or similarity-based reasoning while MAS is a new paradigm to organize AI applications. CBR offers multi-agent systems the capability of autonomously learning from experience. This study examines the integration of CBR, MASs and … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 5,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Proposed Optical Music Mark Recognition SystemIsmael JannoudThe optical music symbol recognition system still has many challenges. Most of issues focused on the recognition of the individual marks in the input concert documents. In this study a new and efficient model for optical music recognition (OMR) was proposed. The music marks was recognized and played by the computer OMR system automatically. A stored file of music documents … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 4,890 accessesView PDFCite
Research ArticleOpen accessIn the abstractOrigin and Trend of Distance Education in UgandaBbuye Juliana, Mango M. JohnDistance education has been in existence in Uganda since the 1960s, and it has grown steadily since that time. It is however a neglected area in terms of data collection and research. The courses that were running between 1960 and 1980s have scanty documentation. What can be traced include the upgrading course for teachers which upgraded 1000 teachers from vernacular … …Journal of Social Sciences, Vol. 1, Issue 3 · 30 Sep 2005 · 7,148 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpirical Studies on Applications of Neural Networks as Approximation OracleK. K. Aggarwal, Yogesh Singh, Arvinder KaurExpected results are essential to any test design. In testing, an Oracle is a trusted source of expected results. This research examines the performance of Artificial Neural Network (ANN) as Approximation Oracle. The supervised learning paradigm has been used and found to be suitable for the purpose with the help of case studies. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractFLANN Detector Based Filtering of Images Corrupted by Impulse NoiseBanshidhar Majhi, Mowafak FathiWe present a novel non-linear scheme for image restoration based on neuro-detector using Functional Link Artificial Neural Network (FLANN) followed by an improved spatial filter. The method is applied to images corrupted by impulse noise with varying strengths and different noise probability. The neural detector is based on the concept of training or learning by examples. When trained properly, the … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,237 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Neural Network for Generating Adaptive LessonsHassina Seridi-Bouchelaghem, Toufik Sari, Mokhtar SellamiTraditional sequencing technology developed in the field of intelligent tutoring systems have not find an immediate place in large-scale Web-based education. This study investigates the use of computational intelligence for adaptive lesson generation in a distance learning environment over the Web. An approach for adaptive pedagogical hypermedia document generation is proposed and implemented in a prototype called KnowledgeClass. This approach … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 7,269 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnergy and Carbon Flux Coupling: Multi-ecosystem Comparisons Using Artificial Neural NetworkAssefa M. Melesse, Rodney S. HanleyA multi-ecosystems carbon flux simulation from energy fluxes is presented. A new statistical learning technique based on Artificial Neural Network (ANN) back propagation algorithm and multi-layer perceptron architecture was used in the CO2 simulation. Four input layers (net radiation, soil heat flux, sensible and latent heat flux) were used for training (calibration) and testing (verification) of model outputs. The 15-days … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,347 accessesView PDFCite