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797 articles for “network data”
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Research ArticleOpen accessAll words, across the recordA NOVEL APPROACH BASED ON GENETIC FUZZY CLUSTERING AND ADAPTIVE NEURAL NETWORKS FOR SALES FORECASTINGAttariuas Hichama, Bouhorma Mohameda, El Fallahi AbdellahbThis article proposes a new hybrid sales forecasting system based on genetic fuzzy clustering and Back-Propagation (BP) Neural Networks with adaptive learning rate (GFCBPN).The proposed architecture consists of three stages: (1) utilizing Winter’s Exponential Smoothing method and Fuzzy C-Means clustering, all normalized data records will be categorized into k clusters; (2) using an adapted Genetic Fuzzy System (MCGFS), the fuzzy … …Journal of Computer Science, Vol. 9, Issue 8 · 2 Jul 2013 · 6,669 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Meteorological Tower Based Wind Speed Prediction Model Using Fuzzy LogicSardar Maran Poongavanam, Ponnusamy RamalingamA number of wind speed prediction methods are available for estimating wind energy availability. In recent years there is a lot of research works carried out to predict wind speed by using mathematical and soft computing techniques. In this study the wind speed profile at different heights are predicted with the available meteorological tower data. The wind speed data at … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 7 May 2013 · 6,866 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMultiple-Input Multiple-Output Transmission Over a Multipath Faded ChannelsI.A.Z. QatawnehThe use of multiple antennas at the transmitter as well as at the receiver can greatly improve the capacity of a wireless link when operating in a rich scattering environment. In such an arrangement all transmitting antennas radiate in the same frequency band so the overall spectral efficiency becomes very high. Such a multiple antenna scheme, popularly known as Multiple … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 11 Mar 2013 · 6,417 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMedical Image Compression with Lossless Region of Interest Using Adaptive Active ContourR. Loganathan, Y. S. KumaraswamyProblem statement: With increasing bandwidth, digital medical image storage and transmission is a boon to patients and health professionals alike. Medical images are available instantly and avoid the need to carry the data physically. Popular imaging techniques extensively used in medicine include X-Ray, Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT). The images produced from the above techniques can … …Journal of Computer Science, Vol. 8, Issue 5 · 1 Mar 2012 · 7,723 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Effective Contributory Re-Keying Approach to Compute Conference KeyD. Thilagavathy, M. RajaramProblem statement: With the explosive growth of and internet and web applications many emerging group-oriented distributed applications such as tele/video-conferencing, multiplayer games are based on group communication model that need security services such as privacy and data integrity Hence a secure distributed group key agreement is required to establish and authenticate a common group key for secure and private communication. … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,643 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDynamic Traffic Light Sequence Algorithm Using RFIDKhalid A.S. Al-Khateeb, Jaiz A.Y. Johari, Wajdi F. Al-KhateebProblem statement: Traffic congestion and tidal flow management were recognized as major problems in modern urban areas, which have caused much frustration and loss of man hours. Approach: In order to solve the problem an intelligent RFID traffic control has been developed. It has circumvented or avoided the problems that usually arise with systems such as those, which use image … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 21,773 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordApplication of Rainfall-runoff Models to Zard River Catchment'sM. B. Rahnama, G. A. BaraniRainfall-runoff models are nonlinear processes according to the sequential and spatial distribution of the rainfall. So, it is difficult to explain the response of catchments systems with the simple models. In the present work simulation of the rainfall-runoff processes have been carried out by the Artificial Neural Networks (ANN) and the HEC-HMS models. The ANN models of Multi Layer Perceptron … …American Journal of Environmental Sciences, Vol. 1, Issue 1 · 31 Mar 2005 · 6,528 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Adaptive Modulation Scaling Scheme for Quality of Services Ensurance in Wireless Sensor NetwoksYong Yuan, Zongkai Yang, Jianhua HeEnergy consumption has been a key concern of data gathering in wireless sensor networks. Previous research works show that modulation scaling is an efficient technique to reduce energy consumption. However, such technique will also impact on both packet delivery latency and packet loss, therefore, may result in adverse effects on the qualities of applications. In this study, the problem of … …American Journal of Applied Sciences, Vol. 2, Issue 3 · 31 Mar 2005 · 6,780 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImplementation and Evaluation of Evolutionary Connectionist Approaches to Automated Text SummarizationUday Kulkarni, Rajesh Shardanand PrasadProblem statement: Text summarization takes care of choosing the most significant portions of text and generates coherent summaries that express the main intent of the given document. This study aims to compare the performances of the three text summarization systems developed by the authors with some of the existing Summarization systems available. These three approaches to text summarization are based … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 8,489 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGoogleNet CNN Neural Network towards Chest CT-Coronavirus Medical Image ClassificationNesreen Alsharman, Ibrahim JawarnehIn the end of the year 2019 and the beginning of the year 2020, the world was overwhelmed by a medical pandemic that was not previously seen which is known Covid-19 (Coronavirus). Coronavirus (CoV) is a large family of viruses that cause illness ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS-CoV) and … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 9,513 accessesView PDFCite