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200 results for “artificial neural network”

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Research ArticleOpen accessPhrase in the titleOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,233 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePrimary Color Based Numerous Image Creation in Visual Cryptography with the Help of Grasshopper Algorithm, Artificial Neural Network and Elliptic Curve CryptographySurajit Goon, Debdutta Pal, Souvik DihidarThe two primary restrictions of visual cryptography methods, contract, and security are well-known. Visual cryptography is considered secure if no share reveals information about the secure picture and this image is unreachable when shares are combined. Recursion can be used in a visual cryptography method to ensure the integrity of both arguments. Sometimes, the many shares are generated illogically in … …Journal of Computer Science, Vol. 18, Issue 5 · 19 May 2022 · 6,283 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,470 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePREDICTION OF FIGHT OR FLIGHT RESPONSE USING ARTIFICIAL NEURAL NETWORKSAbhijit Suresh, Sai Swarna Latha, Pooja Nair, N. RadhikaThe modern society has posed several threats to the public. Public security is declining with increasing anti-social behaviour. Cases of rape and terrorist attacks have become increasingly common and there is a strong demand for a security system to control such modalities. Anti-social behaviour is a key issue of public concern. Public perceptions, however, have been improving recently. The vital … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 8,047 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDesign and Implementation of Novel Artificial Neural Network Based Stock Market Forecasting System on Field-Programmable Gate ArraysMd. Syedul Amin, Md. Mamun, Fazida Hanim Hashim et al.Problem statement: Multiagent system is very proficient and has rules well-suited for financial forecast with its neural network. In financial forecasting, the approach for rules extractions is less pertinent and involves algorithms which are complex. The unsupervised network method lacks in comprehensibility and leads to ambiguity. Approach: The application of neural network technology to real-time processing of financial market analysis … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 12 Sep 2011 · 7,634 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleArtificial Neural Network Approach in Radar Target ClassificationN.K. Ibrahim, R.S.A. Raja Abdullah, M.I. SaripanProblem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR). In this study the target is a ground vehicle which is represented by typical public road transport. The features from raw radar signal … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 9,375 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 6,915 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleChoice Of Input Data Type Of Artificial Neural Network To Detect Faults In Alternative Current SystemsT. Benslimane, B. Chetate, R. BeguenaneThis paper present a study on different input data types of ANN used to detect faults such as over-voltage in AC systems (AC network , induction motor). The input data of ANN are AC voltage and current. In no fault condition, voltage and current are sinusoidal. The input data of the ANN may be the instantaneous values of voltage and … …American Journal of Applied Sciences, Vol. 3, Issue 8 · 31 Aug 2006 · 6,779 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOn the Application of Artificial Neural Networks in Analyzing and Classifying the Human ChromosomesIbrahiem M.M. El EmaryThis study aimed to represent an advanced software tool assists in analyzing and classifying the human chromosomes. Our new software handles both classifying and analyzing the medical image of human chromosomes according to the following steps: 1- we use the image processing utilities in Matlab to analyze the image; where we provide a new filter to remove the noise depending … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,520 accessesView PDFCite