An Approach to Segmenting Initial Object Movement in Visual Sensor Networks by Seok-Woo Jang, Si-Ho Cha

“…The motion vectors corresponding to the noise or objects are clustered with an unsupervised clustering algorithm to segment the individual moving objects. …”
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Node Importance Evaluation of Cyber-Physical System under Cyber-Attacks Spreading by Xin-Rui Liu, Yuan Meng, Peng Chang

“…In this paper, we improve the closeness centrality algorithm and propose a compound centrality algorithm based on adaptive coefficient to evaluate the importance of single-layer network nodes. …”
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Multistep Hybrid Iterations for Systems of Generalized Equilibria with Constraints of Several Problems by Lu-Chuan Ceng, Cheng-Wen Liao, Chin-Tzong Pang, Ching-Feng Wen

“…We prove strong convergence theorem for the iterative algorithm under suitable conditions. On the other hand, we also propose another multistep iterative algorithm involving no shrinking projection method and derive its weak convergence under mild assumptions.…”
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Direction of Arrival Estimation Accuracy Enhancement via Using Displacement Invariance Technique by Youssef Fayad, Caiyun Wang, Qunsheng Cao, Alaa El-Din Sayed Hafez

“…A new algorithm for improving Direction of Arrival Estimation (DOAE) accuracy has been carried out. …”
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Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances by Yushuang Liu, Yan Zhao, Falin Wu

“…This paper develops an extended ellipsoidal outer-bounding set-membership estimation (EEOB-SME) algorithm with high accuracy and efficiency for nonlinear discrete-time systems under unknown-but-bounded (UBB) disturbances. …”
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Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation. by Taochang Li, Ang Li, Limin Hou

“…First, the diversity of the population and the global exploration capability of the algorithm are enhanced through the integration of the Cauchy mutation strategy and uniform distribution strategy. …”
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Image Recognition Based on Two-Dimensional Principal Component Analysis Combining with Wavelet Theory and Frame Theory by Pingping Tao, Xiaoliang Feng, Chenglin Wen

“…Considering that the image will be influenced by man-made and environmental noises, the algorithm of this paper considers the improvement of many algorithms. …”
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BDD-Based Topology Optimization for Low-Power DTIG FinFET Circuits by Haiyan Ni, Jianping Hu, Xuqiang Zhang, Haotian Zhu

“…Some kinds of feature subgraph structures of a BDD are extracted by the extraction algorithm and then fed to mapping algorithm to get a final optimized circuit based on predefined DTIG FinFET logic gates. …”
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Phase retrieval for block sparsity based on adaptive coupled variational Bayesian learning by Di Zhang, Yimao Sun, Siqi Bai, Qun Wan

“…In the proposed algorithm, the block‐sparse structure is modelled by the hierarchical constructional priors with a novel adaptive coupled pattern, which provides a strong relationship between the neighbour blocks. …”
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Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework by Mousmita Sarma, Kandarpa Kumar Sarma

“…This paper describes an Artificial Neural Network (ANN) based algorithm developed for the segmentation and recognition of the vowel phonemes of Assamese language from some words containing those vowels. …”
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The effect of using Naive Bayes to detect spam email by Sun Zehui

“…This paper focuses on the spam detection method based on the plain Bayesian algorithm. The plain Bayesian algorithm is particularly suitable for spam detection due to its high detection accuracy and its wide application in text classification tasks. …”
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Nonlinear programming-based ranging optimization for three-dimensional indoor time of arrival localization by Jian Sun, Yongling Fu, Jie He, Shengguang Li, Jian Fu

“…A three-dimensional localization algorithm of an indoor time of arrival–based positioning is proposed based on least square and the optimization algorithm. …”
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Assessing the Reliability of a Multistate Logistics Network under the Transportation Cost Constraint by Qi Zeng, Xiu-Zhen Xu

“…The proposed algorithm employs a decomposition technique to divide the search space of (d,c)-MPs such that the search space of (d,c)-MPs can be dramatically reduced, and thereby (d,c)-MPs can be efficiently obtained. …”
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Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network by Junhui Liu, Yajuan Jia, Yaya Wang

“…To characterize a high-accuracy driver behavior model under different roadway geometries, the paper proposes a new algorithm of driver behavior model based on the whale optimization algorithm-restricted Boltzmann machine (WOA-RBM) method. …”
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A Combined ESPRIT-MUSIC Method for FDA-MIMO Radar with Extended Range Ambiguity Using Staggered Frequency Increment by Yuwei Song, Guimei Zheng, Guoping Hu

“…The proposed joint estimation algorithm firstly estimates the angle by using ESPRIT algorithm. …”
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Land cover classification of high-resolution remote sensing images based on improved spectral clustering. by Song Wu, Jian-Min Cao, Xin-Yu Zhao

“…Using remote sensing imagery from the ZY1-02D satellite's VNIC and AHSI cameras as the basis, multi-source feature information encompassing spectral, edge shape, and texture features was extracted as the data source. The Lanczos algorithm, which determines the largest eigenpairs of a high-order matrix, was integrated with the spectral clustering algorithm to solve for eigenvalues and eigenvectors. …”
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A Fully Nonlinear, Dynamically Consistent Numerical Model for Ship Maneuvering in a Seaway by Ray-Qing Lin, Weijia Kuang

“…We have tested this algorithm with several well-documented maneuvering experiments, and our results agree very well with experimental data. …”
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Combination linear lines of position and neural network for mobile station location estimation by Chien-Sheng Chen

“…The simulation results show that the proposed algorithms can always provide much better location estimation than Taylor series algorithm, hybrid lines of position algorithm as well as the geometrical positioning methods for different levels of biased, unbiased, and distance-dependent non-line-of-sight errors.…”
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Research on the Rate of Penetration Prediction Method Based on Stacking Ensemble Learning by Yangfeng Ren, Baoping Lu, Shuangjin Zheng, Kai Bai, Lin Cheng, Hao Yan, Gan Wang

“…This model integrates the K-nearest neighbor algorithm and support vector machine algorithm by stacking ensemble strategy and uses genetic algorithm to optimize model parameters, forming a new method of ROP prediction suitable for this oilfield. …”
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Data Gathering in Opportunistic Wireless Sensor Networks by Yongxuan Lai, Ziyu Lin

“…In this paper, we propose an efficient data gathering algorithm based on location prediction in opportunistic wireless sensor networks. …”
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