Review ArticleOpen accessAll words, across the recordMachine Learning Integration for Precise Facial Micro-Expression RecognitionViola Bakiasi Shtino, Markela Muça, Senada BushatiThis study advances facial micro-expression recognition through innovative machine-learning techniques, addressing critical needs in psychology, security, and human-computer interaction. The purpose of this study is to improve micro-expression recognition through the optimization of feature transformation and machine learning algorithms. We introduce a novel approach combining Kernel Principal Component Analysis (KPCA) and Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction, … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,592 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCombining Q-Learning and Multi-Layer Perceptron Models on Wireless Channel Quality PredictionAndrea L. Piroddi, Maurizio TorregianiOne of the most complex challenges that wireless communication systems will face in the coming years is the management of the radio resource. In the next years, the growth of mobile devices, forecast (CISCO, 2020), will lead to the coexistence of about 8.8 billion mobile devices with a growing trend for the following years. This scenario makes the reuse of … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 1 · 10 Mar 2021 · 6,761 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComputational Analysis of Network ODE Systems in Metric Spaces: An ApproachSusmit BagchiTraditionally, the concepts of graph theory are applied to design stationary computer networks and, to analyze dynamics of social networks. However, the majority of non-stationary network models are formulated by using Ordinary Differential Equations (ODE) with varying orders having homogeneous or non-homogeneous forms. However, the analysis of continuous solution spaces of ODE and understanding of the interplay of spaces in … …Journal of Computer Science, Vol. 13, Issue 1 · 1 Mar 2017 · 7,891 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSparse Representation Tracking with Auxiliary Adaptive Appearance ModelsJunqiu Wang, Chao Yang, Zhichao Gan, Yasushi YagiWe propose an effective tracking algorithm based on sparse representation and auxiliary adaptive appearance modeling. Based on a sparse representation, l1 minimization can follow targets in challenging situations. Unfortunately, tracking approaches based on l1 minimization are likely to be inefficient because they measure using dense coefficient distributions. The number of target candidates can be very large when the state space … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 14 Jan 2017 · 7,676 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA New Separable Logarithmic Algorithm for Non-Linear OptimizationAbbas Y. Al-Bayati, Hawraz N. JabbarProblem statement: The idea of this study stemmed from the fact that most of the currently used optimization algorithms use a local quadratic representation of the objective function. It also arisen from the fact that the objective function may not be represented adequately by quadratic functions and the global minimizer may be obtained for objective functions. So, in this study, … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,872 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDesign and Implementation of Parallel Subunit for Synthesis Mathematical ModelsIssa M. ShehabatProblem statement: Mathematical modeling of different natural and technical objects and processes is one of the most important directions that needs high performance computing with huge memory. To reduce the computational time and expenses we need to carry out the calculations on specialized subunits. Approach: We described a self-organizing approximation method and introduced a new methodology of structural synthesis of … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 6,920 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOn Calculating the Hougaard Measure of Skewness in a Nonlinear Regression Model with Two ParametersS. A. EL-ShehawyProblem statement: This study presented an alternative computational algorithm for determining the values of the Hougaard measure of skewness as a nonlinearity measure in a Nonlinear Regression model (NLR-model) with two parameters. Approach: These values indicated a degree of a nonlinear behavior in the estimator of the parameter in a NLR-model. Results: We applied the suggested algorithm on an example … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,159 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThe Coordinated Scheduling Support System of Production and DeliveryMing-Feng Yang, Yi LinProblem statement: Traditional scheduling models which only address the sequence of jobs to be processed at the production stage under some criteria are no longer suitable and should be extended to cope with the distribution stage after production. In a rapidly changing environment, competition among enterprises has a tendency to turn towards competing between supply chain systems instead of competing … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 6,798 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAerodynamic Noise Prediction Using stochastic Turbulence ModelingArash Ahmadzadegan, Mehran TadjfarAmongst many approaches to determine the sound propagated from turbulent flows, hybrid methods, in which the turbulent noise source field is computed or modeled separately from the far field calculation, are frequently used. For basic estimation of sound propagation, less computationally intensive methods can be developed using stochastic models of the turbulent fluctuations (turbulent noise source field). A simple and … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,223 accessesView PDFCite