Hand Gesture Recognition Algorithm Using SVM and HOG Model for Control of Robotic System by Phat Nguyen Huu, Tan Phung Ngoc

“…In this study, we propose the gesture recognition algorithm using support vector machines (SVM) and histogram of oriented gradient (HOG). …”
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CONVERGENCE RATE OF THE PHAM DINH-L E THI'S ALGORITHM FOR THE TRUST-REGION SUBPROBLEM by Hoàng Ngọc Tuấn

“…We obtain sufficient conditions for the linear convergence of the iterative sequences produced by the Pham Dinh-Le Thi Algorithm for the trust-region sub-problem. In addition, we give two examples to show that, if the sufficient conditions are not satisfied, then the DCA sequences may not be linearly convergent.…”
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Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network by Xiangguang Dai, Chuandong Li, Biqun Xiang

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A New Multiobjective Evolutionary Algorithm Based on Decomposition of the Objective Space for Multiobjective Optimization by Cai Dai, Yuping Wang

“…Experimental studies have been conducted to compare this proposed algorithm with classic MOEA/D and NSGAII. Simulation results on six multiobjective benchmark functions show that the proposed algorithm is able to obtain better diversity and more evenly distributed Pareto front than the other two algorithms.…”
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Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm by Weiwei Liu

“…We use text mining technology and emotion analysis to determine the relationship between comment emotion and community elderly care service quality online and build a quality emotion feature library. The naive Bayesian algorithm is used to classify the online evaluation of the service quality of community elderly care services, which verified by experiments and completed the design and development of the community elderly care service quality evaluation system based on the project needs.…”
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Cerebral Arterial Stenosis Detection Based on a Retained Two-Stage Detection Algorithm by Hanqing Liu, Xiaojun Li, Jin Wei, Xiaodong Kang

“…The experimental results show that the retained algorithm increases mAP by 7.3% and 7.5%, respectively, compared with Faster R-CNN and Libra R-CNN. …”
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A Novel Differentially Private Online Learning Algorithm for Group Lasso in Big Data by Jinxia Li, Liwei Lu

“…The algorithm’s performance was thoroughly evaluated through simulations with both synthetic and actual data. …”
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Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm by Zwe-Lee Gaing, Chia-Hung Lin

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Clustering by Hybrid K-Means-Based Rider Sunflower Optimization Algorithm for Medical Data by A. Jaya Mabel Rani, A. Pravin

“…This hybrid algorithm can get the advantages of both K-means and RSFO technique and avoid premature convergence of K-means algorithm and high computation cost of optimization technique. …”
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Compact Sine Cosine Algorithm with Multigroup and Multistrategy for Dispatching System of Public Transit Vehicles by Minghui Zhu, Shu-Chuan Chu, Qingyong Yang, Wei Li, Jeng-Shyang Pan

“…To achieve better optimization capability, we propose a multigroup Multistrategy Compact Sine Cosine Algorithm (MCSCA) by using the compact strategy and grouping strategy, which makes the initialized randomly generated value no longer an individual in the population and avoids falling into the local optimum. …”
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Research on Density Peak Clustering Color-Separation Algorithm Based on SOM Neural Network by Xin Ru, Yanhao Wang, Ran Chen, Zhifa Zeng, Laihu Peng, Wei Tang, Weimin Shi, Hui Wang

Subjects: “…Color-separation algorithm…”
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Automated cell annotation in multi-cell images using an improved CRF_ID algorithm by Hyun Jee Lee, Jingting Liang, Shivesh Chaudhary, Sihoon Moon, Zikai Yu, Taihong Wu, He Liu, Myung-Kyu Choi, Yun Zhang, Hang Lu

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The algorithm of interaction of the enterprises of fuel and energy complex in implementation with the use of alternative means of payment by O V. Baikova, D. A. Kulakov

“…The structure of the algorithm for building a system of payment interaction of enterprises of the fuel and energy complex has been off red. …”
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Deformation Prediction of Foundation Pit Based on Exponential Power Product Model of Improved Algorithm by Chuankui Jing, Hao Wang, Hongsong Li

“…Through six standard test functions and three application examples, the optimization ability of the ISDO algorithm is verified, and the optimization results are compared with those of basic supply demand optimization algorithm (SDO), whale optimization algorithm (WOA), grey wolf optimization algorithm (GWO), moth swarm algorithm (MSA), and particle swarm optimization algorithm (PSO). …”
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An Improved Genetic Algorithm Based Robust Approach for Stochastic Dynamic Facility Layout Problem by Yunfang Peng, Tian Zeng, Lingzhi Fan, Yajuan Han, Beixin Xia

“…Different sized instances are compared with Particle Swarm Optimization (PSO) algorithm to verify the effectiveness of the proposed genetic algorithm. …”
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Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm by Muhammad Haris, Haewoon Nam

“…The Particle Swarm Optimization (PSO) algorithm is widely used for optimization problems due to its simplicity and efficiency. …”
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Using Machine Learning Algorithm to Describe the Connection between the Types and Characteristics of Music Signal by Bo Sun

“…In order to improve the accuracy of music classification, a music classification model based on multifeature fusion and machine learning algorithm is proposed. First, we obtain the music signal, and then extract various features from the classification of the music signal, and use machine learning algorithms to describe the type of music signal and the relationship between the features. …”
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Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost by Hongzhi Zhou, Gan Yu

“…In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. Aiming at the problem that a single high-level output feature map has insufficient ability to express pedestrian features and existing methods cannot effectively select appropriate multilevel features, this paper improves the traditional AdaBoost algorithm structure, that is, the sample weight update formula and the strong classifier output formula are reset, and the two-input AdaBoost-DBN classification algorithm is proposed. …”
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A Modified Salp Swarm Algorithm Based on the Perturbation Weight for Global Optimization Problems by Yuqi Fan, Junpeng Shao, Guitao Sun, Xuan Shao

“…Metaheuristic algorithms are often applied to global function optimization problems. …”
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An Energy-Efficient Node Selection Algorithm in Bearings-Only Target Tracking Sensor Networks by Xiaoxiao Jiang, Wei He, Xuguang Yang, Yingguan Wang

“…In this paper, an energy-efficient node selection algorithm for bearings-only sensors in decentralized sensor networks is proposed. …”
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