A Novel Method for Extracting Maximum Kurtosis Component and Its Applications in Rolling Bearing Fault Diagnosis by Yonggang Xu, Zeyu Fan, Kun Zhang, Chaoyong Ma

“…This algorithm changes the traditional Fast Kurtogram frequency bands division method and filtering method. …”
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A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVM by Xianhua Yin, Wei Mo, Qiang Wang, Binyi Qin

“…In order to improve the accuracy, the cuckoo search algorithm (CS) is used to optimize the penalty factor C and kernel function parameter g of SVM. …”
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An aggregate stochastic model incorporating individual dynamics for predation movements of anelosimus studiosus by Alex John Quijano, Michele L. Joyner, Edith Seier, Nathaniel Hancock, Michael Largent, Thomas C. Jones

“…A least squares optimization algorithm is used for parameter estimation to fit a single stochastic model to an individual spider during predation resulting in unique parameter values for each spider. …”
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A Kind of Urban Road Travel Time Forecasting Model with Loop Detectors by Guangyu Zhu, Li Wang, Peng Zhang, Kang Song

“…Firstly, the preprocessing algorithm for the data of loop detectors is given, and the calculating model of the travel time is studied. …”
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Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System by Kirana Annisa Puspa, Saleh Wildan Abdul Rachman, Sabilla Wilda Imama, Vista Candra Bella, Wakhidah Rokhimatul, Wijayaningrum Vivi Nur

“…This research presents the development of a Web GIS system using a Decision Tree algorithm to classify and map air pollution levels in the Jabodetabek region. …”
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Adaptive Path Following and Locomotion Optimization of Snake-Like Robot Controlled by the Central Pattern Generator by Zhengcai Cao, Dong Zhang, Biao Hu, Jinguo Liu

“…A cuckoo search (CS) algorithm is applied to optimize locomotion parameters of the robot for environments with variable fractions and obstacle distribution. …”
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A New Variant of B-Spline for the Solution of Modified Fractional Anomalous Subdiffusion Equation by M. S. Hashmi, Zainab Shehzad, Asifa Ashraf, Zhiyue Zhang, Yu-Pei Lv, Abdul Ghaffar, Mustafa Inc, Ayman A. Aly

“…The graphical and tabular display of results for the illustrated examples is presented, which stamped the efficiency of the proposed algorithm.…”
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A Dual-Path Neural Network for High-Impedance Fault Detection by Keqing Ning, Lin Ye, Wei Song, Wei Guo, Guanyuan Li, Xiang Yin, Mingze Zhang

“…To enhance feature extraction, we use a Gramian Angular Field algorithm to transform 1D zero-sequence voltage signals into 2D images. …”
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A Unified Analysis for the Free Vibration of the Sandwich Piezoelectric Laminated Beam with General Boundary Conditions under the Thermal Environment by Guohua Gao, Ningze Sun, Dong Shao, Yongqiang Tao, Wei Wu

“…By using the method of reverberation-ray matrix to integrate and solve the governing equations, a search algorithm based on golden-section search is introduced to calculate the required frequency parameters. …”
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A Fault Feature Extraction Method for Rolling Bearing Based on Intrinsic Time-Scale Decomposition and AR Minimum Entropy Deconvolution by Jiakai Ding, Liangpei Huang, Dongming Xiao, Lingli Jiang

“…Firstly, the original early weak fault vibration signal of the rolling bearing is decomposed by the ITD algorithm to proper rotations (PRs) with fault feature frequency. …”
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New Robust PCA for Outliers and Heavy Sparse Noises’ Detection via Affine Transformation, the L∗,w and L2,1 Norms, and Spatial Weight Matrix in High-Dimensional Images: From the Pe... by Peidong Liang, Habte Tadesse Likassa, Chentao Zhang, Jielong Guo

“…In this paper, we propose a novel robust algorithm for image recovery via affine transformations, the weighted nuclear, L∗,w, and the L2,1 norms. …”
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Equity-Oriented Train Timetabling with Collaborative Passenger Flow Control: A Spatial Rebalance of Service on an Oversaturated Urban Rail Transit Line by Chaoqi Gong, Baohua Mao, Min Wang, Tong Zhang

“…Finally, a simple case with different-scale instances is used to verify that the proposed algorithm can obtain near-optimal solution efficiently. …”
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The Potential of Using Brain Images for Authentication by Fanglin Chen, Zongtan Zhou, Hui Shen, Dewen Hu

“…A modified brain segmentation algorithm is implemented for extracting gray matter from an input brain image. …”
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A Novel Approach to Test-Induced Defect Detection in Semiconductor Wafers, Using Graph-Based Semi-Supervised Learning (GSSL) by Pedram Aridas, Narendra Kumar, Anis Salwa Mohd Khairuddin, Daniel Ting, Vivek Regeev

“…This study proposes a novel graph-based semi-supervised learning (GSSL) algorithm to identify these test-induced hidden defects on the semiconductor wafer that escape conventional methods. …”
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An Adjustment Method for the Suspender Tension of CFSTTTHAB Based on Influence Matrix of Single Suspender by Longlin Wang, Hua Wang, Litao Li, Tianzhi Hao, Changxia Wu

“…Moreover, an iterative algorithm was used to solve the adjustment value of suspender tension. …”
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Fault Prediction of Centrifugal Pump Based on Improved KNN by YunFei Chen, Jianping Yuan, Yin Luo, Wenqi Zhang

“…In this method, the Mahalanobis distance is used to replace the distance function in the conventional KNN algorithm. Grid search and cross-validation are used to determine the optimal K value of the prediction model. …”
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Energy-Balanced Density Control to Avoid Energy Hole for Wireless Sensor Networks by Jie Jia, Jian Chen, Xingwei Wang, Linliang Zhao

“…Extensive simulation results are presented to demonstrate the effectiveness of our algorithm.…”
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Performance Analysis of Reheat Steam Temperature Control System of Thermal Power Unit Based on Constrained Predictive Control by Xiaoli Li, Jian Liu, Kang Wang, Fuqiang Wang, Yang Li

“…In order to achieve precise control of reheat steam temperature, the performance of the reheat temperature control system is analyzed according to the data that are obtained based on the constrained predictive control algorithm. Firstly, the process and mathematical model of reheat steam temperature control system are introduced. …”
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Designing a Neural Observer to Estimate the State Variables of the Dynamical System of a Specific Class of Leukaemia by Yousef Farshidi, Reza Ghasemi, Aminin Sharafian Ardekani

“…In order to adjust the neural network weights, the error back propagation learning algorithm was implemented. First of all, in this algorithm, the system outputs are generated according to random weights. …”
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Development of a Driving Cycle for Fuzhou Using K-Means and AMPSO by Minrui Zhao, Hongni Gao, Qi Han, Jiaang Ge, Wei Wang, Jue Qu

“…First, bad data in the original dataset are preprocessed, the time-series standard smoothing algorithm is used to smoothen the data, and Lagrange’s interpolation is used to realize data interpolation. …”
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