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10 results for “Probabilistic Neural Network”
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Research ArticleOpen accessPhrase in the titleTransient Stability Assessment of a Power System Using Probabilistic Neural NetworkNoor Izzri Abdul Wahab, Azah MohamedThis study presents transient stability assessment of electrical power system using Probabilistic Neural Network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system considering three phase faults on the system. The data … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,027 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleProbabilistic Artificial Neural Network For Recognizing the Arabic Hand Written CharactersKhalaf khatatneh, Ibrahiem M.M. El Emary, Basem Al-RifaiThe objective of this study was to present a new technique assists in developing a recognition system for handling the Arabic Hand Written text. The proposed system is called Arabic Hand Written Optical Character Recognition (AHOCR). AHOCR was concerned with recognition of hand written Alphanumeric Arabic characters. In the present work, extracted characters are represented by using geometric moment invariant … …Journal of Computer Science, Vol. 2, Issue 12 · 31 Dec 2006 · 6,911 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,536 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClose Range Photogrammetry and Neural Network for Facial RecognitionRami Al-Ruzouq, Shatha KadhimRecently, there has been an increasing interest in utilizing imagery in different fields such as archaeology, architecture, mechanical inspection and biometric identifiers where face recognition considered as one of the most important physiological characteristics that is related to the shape and geometry of the faces and used for identification and verification of a person's identity. In this study, close range … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 13 Aug 2012 · 7,319 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWNBLI - A Multifarious Liability Examination for Wireless Sensor NetworksTamilarasi B., UmaRani R.Wireless communications has completely revolutionized the living environment, just as personal computers forever altered the way of working in the 1980’s and the Internet dramatically changed the obtainment and accessing way of information in the 1990’s. Wireless sensor networks are evolving to a new level. The Failure liability is a very prominent problem in Wireless Sensor Network (WSN) research. Failure … …Journal of Computer Science, Vol. 14, Issue 6 · 8 May 2018 · 7,572 accessesView PDFCite
Research ArticleOpen accessIn the abstractDDoS Attack Detection Using Enhanced Neural Network Algorithm in Software-Defined NetworksHema Surendrakumar Dhadhal, Paresh P KotakWith the uncommon advancement of technology and networking, the world today is totally relying on it. The most obvious drawback of this technical progress resulted in several possible dangers. A Distributed Denial of Service (DDoS) attack is one in which a large number of compromised systems work together to prevent service from being provided to the targeted system. Consequently, to … …Journal of Computer Science, Vol. 19, Issue 6 · 24 May 2023 · 5,721 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Backpropagation Neural Network for Splitting IdentifiersAhmed Sabah Ahmed AL-Jumaili, Huda Kadhim Tayyeh, Ruqaia Jawad KadhemSplitting identifiers is a task that has been addressed in the past few years in order to contribute toward improving the Feature Location task. Feature Location aims at determining the exact position of a specific feature within a source code. Several research studies have addressed the process of splitting multi-word identifiers. However, one of the endure gaps that still face … …Journal of Computer Science, Vol. 14, Issue 10 · 31 Oct 2018 · 7,227 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndoor Positioning System Using Artificial Neural NetworkHamid Mehmood, Nitin K. Tripathi, Taravudh TipdechoProblem statement: Location knowledge in indoor environment using Indoor Positioning Systems (IPS) has become very useful and popular in recent years. A number of Location Based Services (LBS) have been developed, which are based on IPS, these LBS include asset tracking, inventory management and security based applications. Many next-generation LBS applications such as social networking, local search, advertising and geo-tagging … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Aug 2010 · 8,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Neutral Network in Predicting Corporate FailureHuong G. NguyenThis study investigates the predictive power of three neutral network models: Multi-layer neural network, probabilistic neural network, and logistic regression model in predicting corporate failure. Basing on the database provided by The Corporate Scorecard Group (CSG), we combine financial ratios which deem to be significant predictors of corporate bankruptcy in many previous empirical studies to build our predictive models and … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,324 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 413 accessesView PDFCite