Hysteresis Modeling of Magnetic Shape Memory Alloy Actuator Based on Krasnosel'skii-Pokrovskii Model by Miaolei Zhou, Shoubin Wang, Wei Gao

“…To identify the weighting parameters of the KP operators, an improved gradient correction algorithm and a variable step-size recursive least square estimation algorithm are proposed in this paper. …”
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Modified Droop Method Based on Master Current Control for Parallel-Connected DC-DC Boost Converters by Muamer M. Shebani, Tariq Iqbal, John E. Quaicoe

“…The effectiveness of the proposed algorithm is verified using Matlab/Simulink simulation.…”
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A study on rolling bearing fault diagnosis using RIME-VMD by Zhenrong Ma, Ying Zhang

“…Abstract To address the challenges of feature extraction in Variational Mode Decomposition (VMD) for rolling bearing fault diagnosis, this paper proposes a feature extraction method optimized by the RIME algorithm, called RIME-VMD. First, under various rolling bearing fault conditions, the RIME algorithm is employed to determine the optimal combination of decomposition components and penalty factors in VMD. …”
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Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit by Yan Liu, Fengming Tao, Rui Zhu

“…Therefore, based on the idea of cost–benefit, a comprehensive vehicle routing problem optimization model with the objective function of minimizing the cost of unit satisfied customer is presented. Then, a hybrid algorithm called local search genetic algorithm (LSGA) is proposed, which amalgamates the destroy-repair operator with GA algorithm. …”
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A Design of Parameters with Supercritical Carbon Dioxide Brayton Cycle for CiADS by Yichuan He, Aihua Dong, Min Xie, Yang Liu

“…The influences of the key parameters on thermodynamic properties of SCO2 Brayton Cycle are discussed and the comparative analyses on genetic algorithm and pattern search algorithm are conducted. …”
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A Binary Cuckoo Search for Combinatorial Optimization in Multiyear Pavement Maintenance Programs by Feng Xiao, Shunxin Yang, Jianchuan Cheng, Mingyu Hou, Chenzhu Wang

“…Hence, a binary cuckoo search (BCS) algorithm was implemented to solve the optimization problem. …”
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Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network by Hang Yang, Simon Fong, Raymond Wong, Guangmin Sun

“…Standard classification algorithms are often inaccurate when used in a wireless sensor network (WSN), where the observed data occur in imbalanced classes. …”
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Multisphere Representation of Convex Polyhedral Particles for DEM Simulation by Qiang Zhang, Chaojun Jia, Jun Yu, Jiawen Zhou

“…A current FORTRAN version of the algorithm is available by contacting the authors.…”
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A Smart Privacy-Preserving Learning Method by Fake Gradients to Protect Users Items in Recommender Systems by Guixun Luo, Zhiyuan Zhang, Zhenjiang Zhang, Yun Liu, Lifu Wang

“…We focus on protecting the items rated by users and propose a novel privacy-preserving matrix factorization algorithm. In our algorithm, the user will submit a fake gradient to make the central server not able to distinguish which items are selected by the user. …”
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Asymptomatic elevation of serum aminotransferase activity: stages of diagnostic search by Yu. A. Tereshchenko, S. Yu. Tereshchenko

“…The aim of review. To present algorithm of stepwise clinical and laboratoric testing of patients with long-term asymptomatic elevation of serum aminotransferase activity.Key points. …”
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Autonomous Bus Fleet Control Using Multiagent Reinforcement Learning by Sung-Jung Wang, S. K. Jason Chang

“…This platform was also applied to assess the performance of the proposed algorithm. The experimental results indicate that the developed algorithm outperforms other reinforcement learning methods in the multi-agent domain. …”
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Towards Pedestrian Target Detection with Optimized Mask R-CNN by Dong-Hao Chen, Yu-Dong Cao, Jia Yan

“…Finally, a pedestrian target dataset is established by selecting suitable pedestrian images in the COCO dataset and expanded by adding noise and median filtering. The optimized algorithm is compared with the original algorithm and several other mainstream target detection algorithms on the dataset; the experimental results show that the detection accuracy and detection speed of the optimized algorithm are improved, and its detection accuracy is better than other mainstream target detection algorithms.…”
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Optimum Energy Flow from Source in Transient State by Konrad Hawron, Bartosz Rozegnał, Maciej Sułowicz

“…This article presents an extended algorithm for one of the most important tasks in source–receiver optimal cooperation—minimization of the source’s RMS current value while ensuring the required active power is supplied to the receiver. …”
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The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology by Jianhong Jiao, Yong Liu, Cuijie Xie

“…Finally, through simulation experiments and case validation experiments, it is concluded that the improved algorithm outperforms the traditional ant colony algorithm. …”
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Mixture Augmented Lagrange Multiplier Method for Tensor Recovery and Its Applications by Huachun Tan, Bin Cheng, Jianshuai Feng, Li Liu, Wuhong Wang

“…In the experiments, the algorithm is compared with the state-of-art algorithm both on synthetic data and real data including traffic data, image data, and video data.…”
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Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN by Xiaoqing Hu, Ming Bao, Yu-Hen Hu, Bugong Xu

“…An efficient, distributed, polynomial time heuristic algorithm that achieves a performance close to the optimal solution is proposed. …”
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Photovoltaic Power System with MPPT Functionality for a Small-Size Electric Vehicle by Jianming Xu, Longyun Kang, Changyi Zhong, Binggang Cao

“…Moreover, a novel MPPT algorithm named sectional variable step climbing (SVSC) algorithm was proposed. …”
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Fault-Tolerant Guidance of Rocket Vertical Landing Phase Based on MPC Framework by Jingqi Li, Yaosong Long, Mao Su, Lei Liu, Bo Wang, Zhongtao Cheng

“…First, we propose a piecewise guidance algorithm that combines a trajectory optimization algorithm based on convex optimization with the MPC framework. …”
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Prediction of the Compressive Strength of Concrete Admixed with Metakaolin Using Gene Expression Programming by Oluwatobi O. Akin, Amana Ocholi, Olugbenga S. Abejide, Johnson A. Obari

“…The R-square value from the GEP algorithm was compared with the use of conventional stepwise regression analysis. …”
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Efficient Enumeration of d-Minimal Paths in Reliability Evaluation of Multistate Networks by Xiu-Zhen Xu, Yi-Feng Niu, Qing Li

“…Then, the max-flow algorithm and the enumeration algorithm are integrated to search for d-minimal paths in the determined search space that is recursively divided into subspaces such that the searching efficiency can be increased as much as possible. …”
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