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123 articles for “noise effect”
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Research ArticleOpen accessIn the abstractEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractModelling the Error Term of Australia Gross Domestic ProductAyodele Abraham Agboluaje, Suzilah Ismail, Chee Yin YipThe main aim of this study is to model the Gross Domestic Product (GDP) with the new Combine White Noise (CWN) Model and compare the results with the Vector Autoregressive (VAR) Model and Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) Model which are the existing models. The CWN model estimation yields best results with least information criteria and high log likelihood … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 2 Nov 2016 · 6,930 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling the Error Term by Moving Average and Generalized Autoregressive Conditional Heteroscedasticity ProcessesAyodele Abraham Agboluaje, Suzilah bt Ismail, Chee Yin YipThis study has been able to reveal that the Combine White Noise model outperforms the existing Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Moving Average (MA) models in modeling the errors, that exhibits conditional heteroscedasticity and leverage effect. MA process cannot model the data that reveals conditional heteroscedasticity and GARCH cannot model the leverage effect also. The standardized residuals of GARCH … …American Journal of Applied Sciences, Vol. 12, Issue 11 · 20 Nov 2015 · 6,721 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalytical Analysis of In-Band Crosstalk, Out-of-Band Crosstalk and GVD-Based Power Penalties in DWDM and TDM/DWDM-PONSIbrahim Mohamed, Mohammad Syuhaimi Ab-RahmanIn addition to the ever-increasing demand for broader bandwidth per user, which results from the continuous development of new bandwidth-hungry services and applications, the consequent upgrade from the currently deployed Time-Division Multiplexing Passive Optical Networks (TDM-PONs) to Next-Generation Optical Access Networks (NG-OANs) has become inevitable. Different architectures for creating a NG-OAN have been proposed in the literature. Among those architectures, … …Journal of Computer Science, Vol. 11, Issue 3 · 13 May 2015 · 7,317 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Measurements on the Radio Interface of the Mobile Communication in the Proximity of the Power SystemSaid Ghnimi, Adnen Rajhi, Ali Gharsallah, Fakhreddine KhlifaProblem statement: The electric power lines and its associated equipments generally produce an electromagnetic noise in their environment, which are likely to have dangerous effects on propagation environment to the Global System for Mobile communication (GSM) cellular mobile network. Approach: In this study, we analyzed the characteristics of the power line noise and its correlation with the GSM burst; showing … …American Journal of Applied Sciences, Vol. 8, Issue 5 · 26 Mar 2015 · 7,000 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Channel Estimation and Performance Analysis Using H-Infinity Filter for MIMO-Orthogonal Frequency Division Multiplexing SystemsJoseph Gladwin Sekar, Salivahanan SankarappanThis paper, deals with H-infinity channel estimation technique for Orthogonal Frequency Division Multiplexing (OFDM) systems, in fading channel. Channel estimation is important for wireless applications because, in practical transmission scenario, channel correlation functions are either not known or cannot be easily estimated. It is therefore desirable to have an estimator which is robust to mismatches between the assumed and the … …Journal of Computer Science, Vol. 11, Issue 2 · 29 Jan 2015 · 6,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractFUZZY SHRINK IMAGE DENOISING USING SMOOTHING SPLINE ESTIMATIONG.M. Rajathi, R. Rangarajan, R. Haripriya, R. NithyaThe image data is normally corrupted by additive noise during acquisition. This reduces the accuracy and reliability of any automatic analysis. For this reason, denoising methods are often applied to restore the original image. In proposed method a wavelet shrinkage algorithm based on fuzzy logic and the DT-DWT scheme is used. In particular, intra-scale dependency within wavelet coefficients is modeled … …Journal of Computer Science, Vol. 10, Issue 10 · 9 Jul 2014 · 6,681 accessesView PDFCite
Research ArticleOpen accessIn the abstractSPECKLE REDUCTION IN ULTRASOUND IMAGES USING NEIGHSHRINK AND BILATERAL FILTERINGR. Vanithamani, G. UmamaheswariSpeckle is a random multiplicative noise which obscures the perception and extraction of fine details in ultrasound images and speckle reduction is necessary to improve the visual quality of ultrasound images for better diagnosis. This study aims at introducing an algorithm by hybridizing bilateral filter with NeighShrink. The bilateral filter is applied before decomposition and after reconstruction of the image … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 6,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractAmeliorate Fuzzy C-Means: An Ameliorate Fuzzy C-Means Clustering Algorithm for CT-Lung Image SegmentationJ. Bridget Nirmala, S. GowriEffective and efficient image segmentation acts as a preliminary stage for the computer-aided diagnosis of medical images. For image segmentation, many FCM-based clustering techniques have been proposed. Regrettably, the existing FCM technique does not generate accurate and standardized segmentation results. This is due to the noise present in the image as well as the random initialization of membership values for … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 1 Oct 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractElectric Field in Polymeric Isolators of the 500kV Voltage ClassVitor Chaves De Oliveira, Huederson Aparecido Botura Da Silva, Alexandre De Assis Mota, Lia Toledo Moreira MotaThis study presents a detailed study of the electric field in polymeric isolators of the 500kV voltage class through modifications in the dimensions of the anti-corona ring. That is, by varying the three dimensions of the anti-corona ring: height (h), distance of the anti-corona ring conductor (r) and the diameter of the anti-corona ring conductor (d); it was possible to … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 12 Jun 2013 · 6,969 accessesView PDFCite