Works matching IS 1526-1492 AND VI 129 AND IP 1 AND DT 2021
Results: 20
Determinantal Expressions and Recursive Relations for the Bessel Zeta Function and for a Sequence Originating from a Series Expansion of the Power of Modified Bessel Function of the First Kind.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 409, doi. 10.32604/cmes.2021.016431
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Study of Degenerate Poly-Bernoulli Polynomials by λ-Umbral Calculus.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 393, doi. 10.32604/cmes.2021.016917
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The New Neutrosophic Double and Triple Exponentially Weighted Moving Average Control Charts.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 373, doi. 10.32604/cmes.2021.016772
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Neutrosophic N-Structures Applied to Sheffer Stroke BL-Algebras.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 355, doi. 10.32604/cmes.2021.016996
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Weighted Parameterized Correlation Coefficients of Indeterminacy Fuzzy Multisets and Their Multicriteria Group Decision Making Method with Different Decision Risks.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 341, doi. 10.32604/cmes.2021.016758
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Subdivision Surface-Based Isogeometric Boundary Element Method for Steady Heat Conduction Problems with Variable Coefficient.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 323, doi. 10.32604/cmes.2021.016794
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IDV: Internet Domain Name Verification Based on Blockchain.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 299, doi. 10.32604/cmes.2021.016839
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Uncertainty Analysis of Seepage-Induced Consolidation in a Fractured PorousMedium.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 279, doi. 10.32604/cmes.2021.016619
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Code Transform Model Producing High-Performance Program.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 253, doi. 10.32604/cmes.2021.015673
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Numerical Solutions of a Novel Designed Prevention Class in the HIV Nonlinear Model.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 227, doi. 10.32604/cmes.2021.016611
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Methodology for Road Defect Detection and Administration Based onMobile Mapping Data.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 207, doi. 10.32604/cmes.2021.016071
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Adaptive Object Tracking Discriminate Model forMulti-Camera Panorama Surveillance in Airport Apron.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 191, doi. 10.32604/cmes.2021.016347
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Moving Least Squares Interpolation Based A-Posteriori Error Technique in Finite Element Elastic Analysis.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 167, doi. 10.32604/cmes.2021.014672
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A Reliability Evaluation Method for Intermittent Jointed Rock Slope Based on Evolutionary Support Vector Machine.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 149, doi. 10.32604/cmes.2021.016761
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Medical Waste Treatment Station Selection Based on Linguistic q-Rung Orthopair Fuzzy Numbers.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 117, doi. 10.32604/cmes.2021.016356
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Simulating the Effect of Temperature Gradient on Grain Growth of 6061-T6 Aluminum Alloy via Monte Carlo Potts Algorithm.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 99, doi. 10.32604/cmes.2021.015669
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Deep Learning Applications for COVID-19 Analysis: A State-of-the-Art Survey.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 65, doi. 10.32604/cmes.2021.016981
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A Novel Named Entity Recognition Scheme for Steel E-Commerce Platforms Using a Lite BERT.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 47, doi. 10.32604/cmes.2021.017491
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Predicting Genotype Information Related to COVID-19 for Molecular Mechanism Based on Computational Methods.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 31, doi. 10.32604/cmes.2021.016622
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Data-Driven Determinant-Based Greedy Under/Oversampling Vector Sensor Placement.
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- Computer Modeling in Engineering & Sciences (CMES), 2021, v. 129, n. 1, p. 1, doi. 10.32604/cmes.2021.016603
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