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15 articles for “bias function”
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Research ArticleOpen accessIn the keywordsAn Improved Approach for Detecting Car in Video using Neural Network ModelS. N. Sivanandam, T. Senthil KumarThe study represents a novel approach taken towards car detection, feature extraction and classification in a video. Though many methods have been proposed to deal with individual features of a vehicle, like edge, license plate, corners, no system has been implemented to combine features. Combination of four unique features, namely, color, shape, number plate and logo gives the application a … …Journal of Computer Science, Vol. 8, Issue 10 · 1 Sep 2012 · 7,151 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Local Network Intrusion Detection System Based on Support Vector MachineMuamer N. Mohammad, Norrozila Sulaiman, Emad T. KhalafProblem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) was … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 7,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Estimation for Lomax Distribution: A Comparison of Loss Functions Using Jeffreys PriorsHuda Mohammed AlomariThis study investigates the estimation of the shape parameter for the Lomax distribution using complete data. We compare the performance of the classical Maximum Likelihood Estimation (MLE) method against the Bayesian framework. Within the Bayesian approach, three distinct loss functions were utilized: the linear exponential (LINEX), general entropy, and weighted general entropy loss functions. The precision of these estimators was … …Journal of Mathematics and Statistics, Vol. 21, Issue 1 · 24 Dec 2025 · 2,635 accessesView PDFCite
Research ArticleOpen accessIn the abstractCooling Load Prediction in the Under-Actuated Zone with Multilayer Perceptron Artificial Neural NetworkYaddarabullah, Aedah Abd Rahman, Amna SaadThis study focuses on addressing the challenge of predicting cooling loads in under-actuated zones, where the variability in occupant behavior, environmental conditions, and electronic usage creates complex dynamics. Traditional models like Support Vector Regression (SVR) and E-Lastic-Net (ELN) often struggle to capture these non-linear relationships, leading to inefficient Heating, Ventilation, and Air Conditioning (HVAC) management and increased energy consumption. To … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 5,300 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Blockchain-Based System for Developing a Virtual JudgeHayder Abdulsattar Nahi, Noor Hasssan Fadhil, Moatasem Mohammed Saeed, Rusul Abdulkarrem SalmanThe designed judicial system is frequently unavailable to people, it is needed in a long time to process and is expensive. Blockchain technology proposes a potential explanation for these cases by facilitating the construction of a virtual judge that can automate considerable dispute resolution processes. This study suggests utilizing blockchain technology with Network Function Virtualization (NFV) to create a virtual … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 5,874 accessesView PDFCite
Review ArticleOpen accessIn the abstractGoats’ Litter Size Concerning Bone Morphogenetic Protein 15 Gene VariationsTebogo Letsukulo Percy Thepa, Thobela Louis Tyasi, Jones Ng’ambiBone morphogenetic protein 15 (BMP15), a member of the transforming growth factor-β (TGF-β) superfamily, plays essential roles in follicular development and ovulation. Single nucleotide polymorphisms (SNPs) in the BMP15 gene have been associated with litter size in multiple livestock species, yet no comprehensive systematic review has synthesized findings across goat breeds. This systematic review aimed to evaluate the association between … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 18 Feb 2026 · 1,405 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Suggested Nonparametric Bivariate Logistic Density Estimator with Application on the Productivity of Egyptian Wheat during 2019/2020Samah M. Abo-El-HadidIn this study, the nonparametric standard logistic density estimator, introduced by Abo-El-Hadid (2018), is extended to the bivariate case. The multiplicative standard logistic distribution is used as a kernel function to derive the bivariate kernel estimator. The statistical properties of the resulting estimator are studied, which are: The asymptotic bias, variance, Mean Squared Error (MSE) and Integrated Mean Squared Error … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 27 May 2021 · 6,711 accessesView PDFCite
Research ArticleOpen accessIn the abstractA MODIFIED ADAPTIVE WAVELET SHRINKAGE SPECKLE FILTER FOR ULTRASOUND IMAGESNirmaladevi Periyasamy, Asokan RamasamyThe usage of ultrasound imaging for medical diagnosis is limited due to the presence of speckle noise. In this study Modified Adaptive Wavelet Shrinkage Filter (MAWSF) in the translational invariant domain is proposed for the removal of speckle noise. The adaptive wavelet threshold function removes the fixed bias of soft thresholding. A new inter-scale dependency model is proposed, to perform … …Journal of Computer Science, Vol. 9, Issue 10 · 16 Sep 2013 · 6,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractKernel Type Estimator and Statistical Properties for Intensity Function of Periodic Poisson Process with Power Function TrendRo’fah Nur RachmawatiProblem statement: In this study, we construct the estimation for a periodic component of the intensity function of a periodic Poisson process in the presence of power function trend by using the general kernel function. Beside that we also construct the statistical properties of the estimator. Approach: It is considered the worst case where there is only available a single … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 6 Nov 2012 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractEquity Valuation with the Use of MultiplesStauropoulos Antonios, Samaras Ioannis, Arsenos PanagiotisProblem statement: Equity valuation with the use of multiples is widely used by academics and practitioners concerning its functionality. This study aims to explore the sensitivity of three multiples in terms of bias. Approach: The three multiples under consideration are the Price-To-Sales (P/S) multiple, the Price-To-Book value of equity (P/B) multiple and the Price-To-Earnings (P/E) multiple using both current and … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 5 Nov 2011 · 7,747 accessesView PDFCite