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240 results for “Estimation-Based”
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Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Pose Tracking based on Line Segment MatchingJunqiu Wang, Jingjing Cui, Yanjie Gao et al.Pose tracking is a crucial issue for many applications such as robotic tasks and facility operations. Vision-based approaches with non-contact properties are appropriate choices for these tasks. However, vision-based approaches are not sufficiently robust and fast. In this work, we propose a vision-based pose tracking to deal with these problems. We estimate poses using Lie group and Lie algebra representation … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 27 Dec 2018 · 7,848 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Logic Decision Support System for Hypovigilance Detection based on CNN Feature Extractor and WN ClassifierInes Teyeb, Ahmed Snoun, Olfa Jemai, Mourad ZaiedFatigue and drowsiness are among the main causes of traffic accidents, just behind excessive speed and alcoholism. This paper deals with the problem of road safety. It attempts to present a driver vigilance monitoring system based on a video approach. This work aims at creating an assistive driving application employing eyes closure duration and head posture estimation as performant signs … …Journal of Computer Science, Vol. 14, Issue 11 · 22 Nov 2018 · 7,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty Analysis of Time of Concentration Equations based on First-Order-Analysis (FOA) MethodAsghar AzizianThe time of concentration (Tc) is one the most important time parameters to predict the response of a catchment to a given rainfall and plays a key role in the hydrologic design and rainfall-runoff modeling. There are a huge number of empirical/semi-empirical equations for estimation of Tc and depending on several parameters such as rainfall attributes, topographic and land cover … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 19 Mar 2018 · 9,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermining the Hazardous Medical Waste Generation Rates of Private Health Care Facilities-Case Study from Dhaka City of BangladeshMd. Yousuf Rumi, Rezaul KarimMany developing countries are lagging behind the developed countries to properly manage their hazardous healthcare waste. These waste pose a significant epidemiological risks to the general people. To estimate the epidemiological risks and to establish parameters of any waste management plan, quantitative estimation of healthcare waste generation is essential. Most researches on quantitative estimation of healthcare wastes to date, have … …American Journal of Environmental Sciences, Vol. 14, Issue 4 · 25 Apr 2018 · 8,387 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Trading Using PE Ratio Based on Bayesian InferenceHaizhen Wang, Ratthachat Chatpatanasiri, Pairote SattayathamThe Price Earnings (PE) ratio is one of the most widely applied tool for the firm valuation in a security market. Unfortunately, recent academic developments in financial econometrics and machine learning have rarely looked at this tool. In the paper, we propose to formalize a process of fundamental PE ratio estimation by employing Dynamic Bayesian Network (DBN) methodology. Forward-backward inference … …Journal of Mathematics and Statistics, Vol. 13, Issue 3 · 29 Sep 2017 · 7,425 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnivariate Generalized Additive Models for Simulated Stationary and Non-Stationary Generalized Pareto DistributionMostafa Behzadi, Mohd Bakri Adam, Anwar FitriantoGeneralized additive models as a predictor in regression approaches, are made up over cubic spline basis and penalized regression splines. Despite of linear predictor in GLM, generalized additive models use a sum of smooth functions of covariates as a predictor. The data which are used in this study have generalized Pareto distribution and have been simulated by inversion method. The … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 3 Jun 2017 · 7,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of UE Location Techniques in LTE NetworksYahia Zakaria, Lubomir IvanekThe goal of this research is to evaluate the location accuracy of User Equipment (UE) in Long Term Evolution (LTE) networks which depends on the timing advance parameters. The ability to locate the subscribers through the network is considered as a significant factor in wireless communication systems. The main method to geolocation based on specified distances from many base stations … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 5 Jan 2017 · 8,028 accessesView PDFCite
Research ArticleOpen accessIn the abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,176 accessesView PDFCite