A machine learning based variable selection algorithm for binary classification of perinatal mortality by Maryam Sadiq, Ramla Shah

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RLS Impedance Intelligence Control Algorithm for Wire Peeler of Robot in Complex Power Networks by Xianjin Xu, Shichao Hu, Yu Yan, Yuhang Yang, Zhiyong Yang, Haoda Chen

“…Considering the wire core which is easily damaged because of the instability of the power distribution robot during the process of peeling the insulation layer, we have proposed a cutting force tracking control algorithm based on impedance control that is suitable for the end peeling instrument. …”
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An energy saving clustering algorithm based on artificial bee colony in ultra dense network by Pengguang ZHOU, Junwei HUANG, Renchi ZHANG, Hao XU

Subjects: “…artificial bee colony algorithm…”
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Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network by Linxuan Yang

“…This paper uses an improved ant colony algorithm to optimize the parameters of the RBF neural network, which overcomes the shortcomings of the traditional RBF neural network such as slow convergence, ease of falling into local extremes, and low accuracy, and improves the generalization ability of the RBF neural network. …”
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Simplified MD-LSD demapping algorithm for BICM-ID systems with multi-dimensional mappings by GONG Feng-kui, GE Jian-hua, WANG Yong

“…A multi-dimensional list sphere decoding （MD-LSD） algorithm was also proposed by using the list sphere decoding algorithm of multi-antenna systems. …”
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Mimic security scheduling algorithm for industrial control under limited heterogeneous resource constraints by Ruyun ZHANG, Heyuan LI, Shunbin LI

“…Cyberspace mimic defense technology is an effective method to deal with backdoor attacks on unknown vulnerabilities in information systems.Its security is closely related to the number and the heterogeneity of the executors and the scheduling strategy.However, in the field of industrial control, the ecological resources of industrial application are relatively closed, and the number of realizable heterogeneous executors is limited.To solve the above problems, a mimic scheduling algorithm for industrial control under the constraints of limited heterogeneous resources was proposed.The experimental results show that the proposed algorithm for triple-redundancy mimic industrial control system was able to select a suitable executor to go online according to environmental characteristics adaptively.Even in a high-intensity attack environment, it can still maintain a high availability probability of 99.24%.…”
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HYEI: A New Hybrid Evolutionary Imperialist Competitive Algorithm for Fuzzy Knowledge Discovery by D. Jalal Nouri, M. Saniee Abadeh, F. Ghareh Mohammadi

“…In recent years, imperialist competitive algorithm (ICA), genetic algorithm (GA), and hybrid fuzzy classification systems have been successfully and effectively employed for classification tasks of data mining. …”
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Trajectory Planning of Manipulators Based on Artificial Immune-improved Particle Swarm Optimization Algorithm by Guo Xin, Li Lijun

Subjects: “…Immune particle swarm algorithm…”
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Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model by Wei Pan, Yukuan Wang, Xinlian Xie, Meng Li, Jinru Fan

“…Building upon this model, a comprehensive scoring algorithm is proposed to assess ship collision risks in open waters. …”
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Adaptive random early detection algorithm based on network traffic level grade prediction by Debin WEI, Chengsheng PAN, Li YANG, Zuoren YAN

“…In view of the problem that the calculation of average queue length and maximum packet drop probability in random early detection algorithm and its variants reflect the changes of network traffic slowly, an adaptive random early detection algorithm based on network traffic level grade prediction was proposed.Based on the statistical characteristics of self-similar network traffic, the transition probability table of network traffic level grade was established, and a grade prediction method of self-similar network traffic level with low complexity and high accuracy was proposed.Furthermore, the prediction results were applied to calculate the average queue length in equal interval and adjust the maximum packet drop probability.Under the condition of fixed and variable bottleneck link capacity, it is found that regardless of the degree of self-similarity of network traffic, the proposed algorithm can improve the throughput and packet loss rate, especially when the Hurst parameter is large and the traffic is light.…”
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A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks by Pedro Pereira Rodrigues, João Araújo, João Gama, Luís Lopes

“…However, centralized algorithms force communication and storage requirements to grow unbounded. …”
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A New Quasi-Human Algorithm for Solving the Packing Problem of Unit Equilateral Triangles by Ruimin Wang, Xiaozhuo Qi, Yuqiang Luo, Jianqiang Dong

“…Some new concepts are put forward such as side-clinging action, and an approximation algorithm for solving the addressed problem is designed. …”
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Hypertension Detection Using Passive-Aggressive Algorithm With The PA-I And PA-II Methods by M. Hafidz Ariansyah, Sri Winarno

“…This algorithm can work well for learning by transforming data and dealing with unbalanced classification problems. …”
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Transarterial chemoembolization for hepatocellular carcinoma: Treatment algorithm proposed by Chinese College of Interventionalists (CCI) by Hai-Dong Zhu, Rong Liu, Zhong-Zhi Jia, Dong-Dong Xia, Bin-Yan Zhong, Wen-Zhe Fan, Jian Lu, Ming Zhao, Gao-Jun Teng

“…The goal of this algorithm is to further standardize the practice of the TACE procedure based on the updated global evidence on HCC research and clinical experience from Chinese interventional radiologists.…”
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Noise Elimination and Contour Detection Based on Innovative Target Image Contour Coding Algorithm by Siming Meng

“…The detailed features analysis of the contour coding algorithm was carried out through the experiments; the experimental results showed that the algorithm was a significant technological breakthrough in image feature extraction and recognition.…”
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Indoor carrier phase positioning algorithm based on time-varying clock error elimination by Shaoshuai FAN, Zhiqiang RONG, Hui TIAN, Lihua LI, Xiaoqi QIN

“…To solve the problems of low positioning accuracy of traditional positioning algorithm and unsynchronized system clock in indoor wireless environment, a 3D positioning algorithm was proposed based on the fusion of triple-differential carrier phase measurements and time difference of arrival (TDoA) positioning.Considering that the time-varying clock offsets between wireless access points lead to lower positioning accuracy, the measurements from a reference terminal were used to eliminate the influence of time-varying clock offsets.The relative positions were estimated based on triple-differential carrier phase measurements, which were fused with unbiased differential TDoA positioning results to obtain the interim estimated positions.Furthermore, the carrier phase observation equations were linearized by Taylor expansion method, and the high-accuracy positioning was realized by solving the integer ambiguities.Simulation results show that the proposed algorithm eliminates the influence of time-varying clock offsets on positioning performance, and the integer ambiguities are resolved in a short time to achieve high-accuracy positioning.…”
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Forward Position Analysis of 3-RPS Parallel Mechanism based on ADE-Newton algorithm by Peng Siyang, Li Ping, Che Linxian, Du Li

Subjects: “…Adaptive differential evolution algorithm…”
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Determination of the quantitative content of chlorophylls in leaves by reflection spectra using the random forest algorithm by E. A. Urbanovich, D. A. Afonnikov, S. V. Nikolaev

“…Six models based on the random forest algorithm with different predictors were evaluated. …”
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Adopting an Improved Genetic Algorithm for Multi-Objective Service Composition Optimization in Smart Agriculture by Shalini Sharma, Bhupendra Kumar Pathak, Rajiv Kumar

“…This paper presents an improved version of the multi-objective genetic algorithm (iMOGA) for optimizing the time and cost associated with the services involved in the production of apple orchards to maximize the farmer's financial goals while reducing their potential time. …”
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A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English Pronunciation by Xia Zhan

“…Aiming at the problems of long time consumption and low accuracy of traditional spoken English pronunciation quality assessment algorithms, a convolutional network-based intelligent assessment algorithm for spoken English pronunciation quality is proposed. …”
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