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  • Open Access

    ARTICLE

    Corpus of Carbonate Platforms with Lexical Annotations for Named Entity Recognition

    Zhichen Hu1, Huali Ren2, Jielin Jiang1, Yan Cui4, Xiumian Hu3, Xiaolong Xu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 91-108, 2023, DOI:10.32604/cmes.2022.022268

    Abstract An obviously challenging problem in named entity recognition is the construction of the kind data set of entities. Although some research has been conducted on entity database construction, the majority of them are directed at Wikipedia or the minority at structured entities such as people, locations and organizational nouns in the news. This paper focuses on the identification of scientific entities in carbonate platforms in English literature, using the example of carbonate platforms in sedimentology. Firstly, based on the fact that the reasons for writing literature in key disciplines are likely to be provided by multidisciplinary experts, this paper designs… More >

  • Open Access

    ARTICLE

    Machine Learning-Based Channel State Estimators for 5G Wireless Communication Systems

    Mohamed Hassan Essai Ali1,*, Fahad Alraddady2, Mo’ath Y. Al-Thunaibat3, Shaima Elnazer2

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 755-778, 2023, DOI:10.32604/cmes.2022.022246

    Abstract For a 5G wireless communication system, a convolutional deep neural network (CNN) is employed to synthesize a robust channel state estimator (CSE). The proposed CSE extracts channel information from transmit-and-receive pairs through offline training to estimate the channel state information. Also, it utilizes pilots to offer more helpful information about the communication channel. The proposed CNN-CSE performance is compared with previously published results for Bidirectional/long short-term memory (BiLSTM/LSTM) NNs-based CSEs. The CNN-CSE achieves outstanding performance using sufficient pilots only and loses its functionality at limited pilots compared with BiLSTM and LSTM-based estimators. Using three different loss function-based classification layers and… More >

  • Open Access

    ARTICLE

    CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets

    Zhiyun Yang1,#, Qi Liu1,#,*, Hao Wu1, Xiaodong Liu2, Yonghong Zhang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 45-64, 2023, DOI:10.32604/cmes.2022.022045

    Abstract Accurate precipitation nowcasting can provide great convenience to the public so they can conduct corresponding arrangements in advance to deal with the possible impact of upcoming heavy rain. Recent relevant research activities have shown their concerns on various deep learning models for radar echo extrapolation, where radar echo maps were used to predict their consequent moment, so as to recognize potential severe convective weather events. However, these approaches suffer from an inaccurate prediction of echo dynamics and unreliable depiction of echo aggregation or dissipation, due to the size limitation of convolution filter, lack of global feature, and less attention to… More > Graphic Abstract

    CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets

  • Open Access

    ARTICLE

    Cherenkov Radiation: A Stochastic Differential Model Driven by Brownian Motions

    Qingqing Li1,2, Zhiwen Duan1,2,*, Dandan Yang1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 155-168, 2023, DOI:10.32604/cmes.2022.019249

    Abstract With the development of molecular imaging, Cherenkov optical imaging technology has been widely concerned. Most studies regard the partial boundary flux as a stochastic variable and reconstruct images based on the steadystate diffusion equation. In this paper, time-variable will be considered and the Cherenkov radiation emission process will be regarded as a stochastic process. Based on the original steady-state diffusion equation, we first propose a stochastic partial differential equation model. The numerical solution to the stochastic partial differential model is carried out by using the finite element method. When the time resolution is high enough, the numerical solution of the… More >

  • Open Access

    ARTICLE

    Unique Solution of Integral Equations via Intuitionistic Extended Fuzzy b-Metric-Like Spaces

    Naeem Saleem1, Khalil Javed2, Fahim Uddin3, Umar Ishtiaq4, Khalil Ahmed2, Thabet Abdeljawad5,6,*, Manar A. Alqudah7

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 109-131, 2023, DOI:10.32604/cmes.2022.021031

    Abstract In this manuscript, our goal is to introduce the notion of intuitionistic extended fuzzy b-metric-like spaces. We establish some fixed point theorems in this setting. Also, we plot some graphs of an example of obtained result for better understanding. We use the concepts of continuous triangular norms and continuous triangular conorms in an intuitionistic fuzzy metric-like space. Triangular norms are used to generalize with the probability distribution of triangle inequality in metric space conditions. Triangular conorms are known as dual operations of triangular norms. The obtained results boost the approaches of existing ones in the literature and are supported by… More >

  • Open Access

    ARTICLE

    A Novel RFID Localization Approach to Smart Self-Service Borrowing and Returning System

    Siguo Bi1, Cong Wang1, Jiajie Shen1, Wang Xiang1, Wei Ni2, Xin Wang1, Bochun Wu1,*, Yi Gong1,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 527-538, 2023, DOI:10.32604/cmes.2022.022298

    Abstract The misreading problem of a passive ultra-high-frequency (UHF) radio frequency identification (RFID) tag is a frequent problem arising in the field of librarianship. Unfortunately, existing solutions are something inefficient, e.g., extra resource requirement, inaccuracy, and empiricism. To this end, under comprehensive analysis on the passive UHF RFID application in the librarianship scenario, a novel and judicious approach based on RFID localization is proposed to address such a misreading problem. Extensive simulation results show that the proposed approach can outperform the existing ones and can be an attractive candidate in practice. More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Advances on Modeling and State Estimation for Industrial Processes

    Shunyi Zhao1,*, Xiaoli Luan1, Jinfeng Liu2, Ruomu Tan3

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 1-3, 2023, DOI:10.32604/cmes.2022.024993

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    A Modified Formulation of Singular Boundary Method for Exterior Acoustics

    Yi Wu, Zhuojia Fu*, Jian Min

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 377-393, 2023, DOI:10.32604/cmes.2022.023205

    Abstract This paper proposes a modified formulation of the singular boundary method (SBM) by introducing the combined Helmholtz integral equation formulation (CHIEF) and the self-regularization technique to exterior acoustics. In the SBM, the concept of the origin intensity factor (OIF) is introduced to avoid the singularities of the fundamental solutions. The SBM belongs to the meshless boundary collocation methods. The additional use of the CHIEF scheme and the self-regularization technique in the SBM guarantees the unique solution of the exterior acoustics accurately and efficiently. Consequently, by using the SBM coupled with the CHIEF scheme and the self-regularization technique, the accuracy of… More >

  • Open Access

    ARTICLE

    A Dimension-Splitting Variational Multiscale Element-Free Galerkin Method for Three-Dimensional Singularly Perturbed Convection-Diffusion Problems

    Jufeng Wang1, Yong Wu1, Ying Xu1, Fengxin Sun2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 341-356, 2023, DOI:10.32604/cmes.2022.023140

    Abstract By introducing the dimensional splitting (DS) method into the multiscale interpolating element-free Galerkin (VMIEFG) method, a dimension-splitting multiscale interpolating element-free Galerkin (DS-VMIEFG) method is proposed for three-dimensional (3D) singular perturbed convection-diffusion (SPCD) problems. In the DS-VMIEFG method, the 3D problem is decomposed into a series of 2D problems by the DS method, and the discrete equations on the 2D splitting surface are obtained by the VMIEFG method. The improved interpolation-type moving least squares (IIMLS) method is used to construct shape functions in the weak form and to combine 2D discrete equations into a global system of discrete equations for the… More >

  • Open Access

    ARTICLE

    Covert Communication in Integrated High Altitude Platform Station Terrestrial Networks

    Zeke Wu1, Kefeng Guo2,*, Rui Liu1, Shibin Zhu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 583-598, 2023, DOI:10.32604/cmes.2022.023093

    Abstract In recent years, Internet of Things (IoT) technology has emerged and gradually sprung up. As the needs of large-scale IoT applications cannot be satisfied by the fifth generation (5G) network, wireless communication network needs to be developed into the sixth generation (6G) network. However, with the increasingly prominent security problems of wireless communication networks such as 6G, covert communication has been recognized as one of the most promising solutions. Covert communication can realize the transmission of hidden information between both sides of communication to a certain extent, which makes the transmission content and transmission behavior challenging to be detected by… More > Graphic Abstract

    Covert Communication in Integrated High Altitude Platform Station Terrestrial Networks

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