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94 articles for “Computational Models”
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Research ArticleOpen accessIn the abstractSimulation of Parallel Logical Operations with Biomolecular ComputingMahnaz Kadkhoda, Ali A. PouyanBiomolecular computing is the computational method that uses the potential of DNA as a parallel computing device. DNA computing can be used to solve NP-complete problems. An appropriate application of DNA computation is large-scale evaluation of parallel computation models such as Boolean Circuits. In this study, we present a molecular-based algorithm for evaluation of Nand-based Boolean Circuits. The contribution of … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 6,692 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Strategies for Parallel Computing of RS Data Assimilation with SWAP-GAShamim Akhter, Kiyoshi Honda, Yann Chemin, Putchong UthayopasAn agro-hydrological simulation model is useful for agriculture monitoring. One issue in running such model is parameter identification, especially when the target area is large such as provincial or country level. Remote Sensing (RS) provides us with useful information over large area. RS cannot observe input parameters of agro-hydrological models directly. However, a method to estimate input parameters of such … …Journal of Computer Science, Vol. 3, Issue 1 · 31 Jan 2007 · 7,214 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,545 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPlant Computational Modelling of Green Amaranth Plant for Investment Analyst using FSPM-GroIMP and Fuzzy LogicBakti Amirul Jabar, Ditdit Nugeraha UtamaFunctional-Structural Plant Modelling (FSPM) isplant modeling that considers morphology, physiology, and statistical data. Oneof the software for FSPM is the Growth-Grammar Interactive Modelling Platform (GroIMP).GroIMP is a Java-based platform using the XL language, which is a languagedeveloped from System-L. This study aims to build a virtual plant model ofgreen amaranth (Amaranthus Sp.) in a hydroponic planting systemfor strategic decision-making. In … …Journal of Computer Science, Vol. 18, Issue 8 · 4 Aug 2022 · 5,996 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDistributional Models with Syntactic Contexts for the Measurement of Word Similarity in Brazilian PortugueseEduardo E. Berlitz, Denis A. Araujo, Allan B. Silva et al.The similarity between words constitutes significant support to tasks in natural language processing. Several works use Lexical resources such as WordNet for semantic similarity and synonym identification. Nevertheless, words out-of-vocabulary or missing links between senses are perceived problems of this approach. Distributional-based proposals like word embeddings have successfully been used to meet such problems, but the lack of contextual information … …Journal of Computer Science, Vol. 15, Issue 10 · 31 May 2019 · 6,824 accessesView PDFCite
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 · 5,601 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 · 6,766 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 · 7,895 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 · 7,681 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 · 6,874 accessesView PDFCite