Open Access
REVIEW
Zipu Yan1,2, Honghua Dai1,2,*, Qisi Wang1,2, Satya N. Atluri3
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.028198
Abstract The harmonic balance (HB) method is one of the most commonly used methods for solving periodic solutions of
both weakly and strongly nonlinear dynamical systems. However, it is confined to low-order approximations due
to complex symbolic operations. Many variants have been developed to improve the HB method, among which the
time domain HB-like methods are regarded as crucial improvements because of their fast computation and simple
derivation. So far, there are two problems remaining to be addressed. i) A dozen of different versions of HB-like
methods, in frequency domain or time domain or in hybrid, have been developed; unfortunately, misclassification… More >
Open Access
REVIEW
Yanjun Yan, Kai Chen*, Hang Geng, Wenqian Fan, Xinrui Zhou
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027252
Abstract With increasing global concerns about clean energy in smart grids, the detection of power quality disturbances
(PQDs) caused by energy instability is becoming more and more prominent. It is well acknowledged that the PQD
effects on power grid equipment are destructive and hazardous, which causes irreversible damage to underlying
electrical/electronic equipment of the concerned intelligent grids. In order to ensure safe and reliable equipment
implementation, appropriate PQD detection technologies must be adopted to avoid such adverse effects. This paper
summarizes the newly proposed and traditional PQD detection techniques in order to give a quick start to new
researchers in the… More >
Open Access
ARTICLE
Maha Noorwali1, Mohammed Shehu Shagari2,*
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.028239
（This article belongs to this Special Issue: Computational Aspects of Nonlinear Operator and Fixed Point Theory with Applications)
Abstract The real world is filled with uncertainty, vagueness, and imprecision. The concepts we meet in everyday life
are vague rather than precise. In real-world situations, if a model requires that conclusions drawn from it have
some bearings on reality, then two major problems immediately arise, viz. real situations are not usually crisp
and deterministic; complete descriptions of real systems often require more comprehensive data than human
beings could recognize simultaneously, process and understand. Conventional mathematical tools which require
all inferences to be exact, are not always efficient to handle imprecisions in a wide variety of practical situations.
Following the latter… More >
Open Access
ARTICLE
Mohammed M. Ali Al-Shamiri1,2, Ghous Ali3,*, Muhammad Zain Ul Abidin3, Arooj Adeel3
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027844
（This article belongs to this Special Issue: Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract Spherical fuzzy soft expert set (SFSES) theory blends the perks of spherical fuzzy sets and group decision-making
into a unified approach. It allows solutions to highly complicated uncertainties and ambiguities under the unbiased
supervision and group decision-making of multiple experts. However, SFSES theory has some deficiencies such
as the inability to interpret and portray the bipolarity of decision-parameters. This work highlights and overcomes
these limitations by introducing the novel spherical fuzzy bipolar soft expert sets (SFBSESs) as a powerful hybridization of spherical fuzzy set theory with bipolar soft expert sets (BSESs). Followed by the development of certain
set-theoretic operations and… More >
Open Access
ARTICLE
Yin Li1, Yuanjia Song1, Zhengwei Yang2, Haijun Jiang3, Bowen Liu1,*
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027072
（This article belongs to this Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
Abstract The temperature field in laser line scanning thermography is investigated comprehensively in this work, including
analytical calculation and experiment. Firstly, the principle of laser line scanning thermography is analyzed. On
this basis, a physical laser line scanning model is proposed. Afterwards, based on Fourier transform (FT) and
segregation variable method (SVM), the heat conduction differential equation in laser line scanning thermography
is derived in detail. The temperature field of the composite-based coatings model with defects is simulated
numerically. The results show that the laser line scanning thermography can effectively detect the defects in the
model. The correctness of the analytical… More >
Open Access
ARTICLE
Feezan Ahmad1, Xiaowei Tang1, Jilei Hu2,*, Mahmood Ahmad3,4, Behrouz Gordan5
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.025993
（This article belongs to this Special Issue: Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications)
Abstract Slope stability prediction plays a significant role in landslide disaster prevention and mitigation. This paper’s
reduced error pruning (REP) tree and random tree (RT) models are developed for slope stability evaluation and
meeting the high precision and rapidity requirements in slope engineering. The data set of this study includes
five parameters, namely slope height, slope angle, cohesion, internal friction angle, and peak ground acceleration.
The available data is split into two categories: training (75%) and test (25%) sets. The output of the RT and REP
tree models is evaluated using performance measures including accuracy (Acc), Matthews correlation coefficient
(Mcc), precision… More >
Open Access
ARTICLE
M. B. Almatrafi, Abdulghani Alharbi*
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027344
（This article belongs to this Special Issue: Integration of Geometric Modeling and Numerical Simulation)
Abstract The extraction of traveling wave solutions for nonlinear evolution equations is a challenge in various mathematics,
physics, and engineering disciplines. This article intends to analyze several traveling wave solutions for the modified
regularized long-wave (MRLW) equation using several approaches, namely, the generalized algebraic method, the
Jacobian elliptic functions technique, and the improved Q-expansion strategy. We successfully obtain analytical
solutions consisting of rational, trigonometric, and hyperbolic structures. The adaptive moving mesh technique
is applied to approximate the numerical solution of the proposed equation. The adaptive moving mesh method
evenly distributes the points on the high error areas. This method perfectly and… More >
Open Access
EDITORIAL
Yudong Zhang1,*, Huiling Chen2
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.029710
（This article belongs to this Special Issue: Bio-inspired Optimization in Engineering and Sciences)
Abstract This article has no abstract. More >
Open Access
ARTICLE
Hang Deng, Jimin Ye*, Wei Li*, Dongmei Huang
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.028334
（This article belongs to this Special Issue: Vibration Control and Utilization)
Abstract In this paper, the response properties of galloping energy harvesters under bounded random parameter excitation
are studied theoretically. The first-order approximate solution of the galloping energy harvester is derived by
applying the multi-scales method. The expression for the largest Lyapunov exponent that determines the trivial
solution is derived, and the corresponding simulation diagrams, including the largest Lyapunov exponent diagrams
and time domain diagrams, verify our results. Then the steady-state response moments of the nontrivial solution
are studied using the moment method, and the analytical expressions for the first-order and second-order moments
of the voltage amplitude are obtained, respectively. The corresponding… More >
Open Access
ARTICLE
Xinzong Wang1, Xiaofang Kang1,2,*, Qingguan Lei1
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027745
（This article belongs to this Special Issue: Vibration Control and Utilization)
Abstract The chaotic motion behavior of the rectangular conductive thin plate that is simply supported on four sides by
airflow and mechanical external excitation in a magnetic field is studied. According to Kirchhoff ’s thin plate theory,
considering geometric nonlinearity and using the principle of virtual work, the nonlinear motion partial differential
equation of the rectangular conductive thin plate is deduced. Using the separate variable method and Galerkin’s
method, the system motion partial differential equation is converted into the general equation of the Duffing
equation; the Hamilton system is introduced, and the Melnikov function is used to analyze the Hamilton system,… More >
Open Access
ARTICLE
Yonghao Zhang1,3, Yongtang Wu2, Tao Li1, Hui Zhou1,3, Yuling Chen1,2,*
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.026920
（This article belongs to this Special Issue: Artificial Intelligence for Mobile Edge Computing in IoT)
Abstract The data in Mobile Edge Computing (MEC) contains tremendous market value, and data sharing can maximize the
usefulness of the data. However, certain data is quite sensitive, and sharing it directly may violate privacy. Vertical
Federated Learning (VFL) is a secure distributed machine learning framework that completes joint model training
by passing encrypted model parameters rather than raw data, so there is no data privacy leakage during the training
process. Therefore, the VFL can build a bridge between data demander and owner to realize data sharing while
protecting data privacy. Typically, the VFL requires a third party for key distribution… More >
Open Access
REVIEW
Loc Vu-Quoc1,*, Alexander Humer2
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.028130
Abstract Three recent breakthroughs due to AI in arts and science serve as motivation: An award winning digital image,
protein folding, fast matrix multiplication. Many recent developments in artificial neural networks, particularly
deep learning (DL), applied and relevant to computational mechanics (solid, fluids, finite-element technology)
are reviewed in detail. Both hybrid and pure machine learning (ML) methods are discussed. Hybrid methods
combine traditional PDE discretizations with ML methods either (1) to help model complex nonlinear constitutive relations, (2) to nonlinearly reduce the model order for efficient simulation (turbulence), or (3) to accelerate
the simulation by predicting certain components in the traditional… More >
Open Access
ARTICLE
Shayla Islam1, Anil Kumar Budati1,*, Mohammad Kamrul Hasan2, Saoucene Mahfoudh3, Syed Bilal Hussian Shah3
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027595
（This article belongs to this Special Issue: Recent Advances in Backscatter and Intelligent Reflecting Surface Communications for 6G-enabled Internet of Things Networks)
Abstract In wireless communications, the Ambient Backscatter Communication (AmBC) technique is a promising
approach, detecting user presence accurately at low power levels. At low power or a low Signal-to-Noise Ratio
(SNR), there is no dedicated power for the users. Instead, they can transmit information by reflecting the ambient
Radio Frequency (RF) signals in the spectrum. Therefore, it is essential to detect user presence in the spectrum for
the transmission of data without loss or without collision at a specific time. In this paper, the authors proposed a
novel Spectrum Sensing (SS) detection technique in the Cognitive Radio (CR) spectrum, by developing… More >
Open Access
REVIEW
Yingjun Wang1,*, Xinqing Li1, Kai Long2, Peng Wei3
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027603
Abstract Topology optimization (TO), a numerical technique to find the optimal material layout with a given design domain,
has attracted interest from researchers in the field of structural optimization in recent years. For beginners, opensource codes are undoubtedly the best alternative to learning TO, which can elaborate the implementation of a
method in detail and easily engage more people to employ and extend the method. In this paper, we present a
summary of various open-source codes and related literature on TO methods, including solid isotropic material
with penalization (SIMP), evolutionary method, level set method (LSM), moving morphable components/voids
(MMC/MMV) methods, multiscale… More >
Open Access
ARTICLE
Jianfang Qi1, Yue Li1,3, Haibin Jin1, Jianying Feng1, Dong Tian1, Weisong Mu1,2,*
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.026113
Abstract An appropriate optimal number of market segments (ONS) estimation is essential for an enterprise to achieve
successful market segmentation, but at present, there is a serious lack of attention to this issue in market segmentation. In our study, an independent adaptive ONS estimation method BWCON-NSDK-means++ is proposed by
integrating a new internal validity index (IVI) Between-Within-Connectivity (BWCON) and a new stable clustering
algorithm Natural-SDK-means++ (NSDK-means++) in a novel way. First, to complete the evaluation dimensions
of the existing IVIs, we designed a connectivity formula based on the neighbor relationship and proposed the
BWCON by integrating the connectivity with other two… More >
Open Access
ARTICLE
Joseph Bamidele Awotunde1, Sanjay Misra2,*, Vikash Katta2, Oluwafemi Charles Adebayo1
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.026812
Abstract The task of classifying opinions conveyed in any form of text online is referred to as sentiment analysis. The
emergence of social media usage and its spread has given room for sentiment analysis in our daily lives. Social
media applications and websites have become the foremost spring of data recycled for reviews for sentimentality
in various fields. Various subject matter can be encountered on social media platforms, such as movie product
reviews, consumer opinions, and testimonies, among others, which can be used for sentiment analysis. The rapid
uncovering of these web contents contains divergence of many benefits like profit-making, which… More >
Open Access
REVIEW
Xiaoyan Jiang1,2, Zuojin Hu1, Shuihua Wang2, Yudong Zhang2,*
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027676
Abstract Over the years, the continuous development of new technology has promoted research in the field of posture
recognition and also made the application field of posture recognition have been greatly expanded. The purpose
of this paper is to introduce the latest methods of posture recognition and review the various techniques and
algorithms of posture recognition in recent years, such as scale-invariant feature transform, histogram of oriented
gradients, support vector machine (SVM), Gaussian mixture model, dynamic time warping, hidden Markov model
(HMM), lightweight network, convolutional neural network (CNN). We also investigate improved methods of
CNN, such as stacked hourglass networks, multi-stage… More >
Open Access
ARTICLE
M. C. Shanmukha1, Sokjoon Lee2,*, A. Usha3, K. C. Shilpa4, Muhammad Azeem5
CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2023.027254
（This article belongs to this Special Issue: Resolvability Parameters and their Applications)
Abstract Graph theory plays a significant role in the applications of chemistry, pharmacy, communication, maps, and
aeronautical fields. The molecules of chemical compounds are modelled as a graph to study the properties of the
compounds. The geometric structure of the compound relates to a few physical properties such as boiling point,
enthalpy, π-electron energy, molecular weight. The article aims to determine the practical application of graph
theory by solving one of the interdisciplinary problems describing the structures of benzenoid hydrocarbons and
graphenylene. The topological index is an invariant of a molecular graph associated with the chemical structure,
which shows the correlation… More >
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