Algorithmic implementation of calculation of energy consumption and determination of the class of energy efficiency of elevators by А. V. Ded, V. A. Tkachenko

“…The algorithm is based on methods for measuring the actual energy consumption of elevators in use or released into circulation. …”
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Transmission Error Analysis of Cycloid Pin Wheel Based on Geometric Contact Algorithm by Huang Yuelei, Zhang Yinghui, He Weidong

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Point Pattern Matching Algorithm for Planar Point Sets under Euclidean Transform by Xiaoyun Wang, Xianquan Zhang

“…In this paper, we propose a point pattern matching algorithm for two planar point sets under Euclidean transform. …”
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A novel low-complexity two-tier group antenna selection algorithm by Peichang ZHANG, Wannian AN, Shida ZHONG, Lei HUANG, Chunsheng ZHUANG, Wei ZHANG

“…Aiming at the high complexity of the end-to-end massive MIMO systems in flat correlated Rayleigh fading channel environments, a low-complexity two-tier group antenna selection algorithm based on discrete cuckoo search was proposed.The algorithm firstly grouped large-scale antenna arrays based on the correlation of antenna channels, and then used a new two-tier algorithm to optimize antenna selection for the grouped antenna sets.The first layer of the new two-tier algorithm was the internal selection of each group of antennas based on discrete cuckoo search, and the second layer was the final selection of all antennas selected by the first layer using discrete cuckoo search.The novel antenna selection algorithm could effectively reduce the complexity of large-scale MIMO systems.The simulation results verify that the antenna selection algorithm can obtain the capacity performance close to the optimal selection method and better BER performance with lower selection complexity under the flat correlated Rayleigh fading channel environments.…”
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End-to-end scene text detection and recognition algorithm based on Transformer decoders by Jinzhi ZHENG, Ruyi JI, Libo ZHANG, Chen ZHAO

“…Aiming at the detection and recognition task of arbitrary shape text in scene, a novelty scene text detection and recognition algorithm which could be trained by end-to-end algorithm was proposed.Firstly, the detection branch of text aware module based on segmentation idea was introduced to detect scene text from visual features extracted by convolutional network.Then, a recognition branch based on Transformer vision module and Transformer language module encoded the text features of the detection results.Finally, the text features encoded by the fusion gate in the recognition branch were fused to output the scene text.The experimental results on the three benchmark datasets of Total-Text, ICDAR2013 and ICDAR2015 show that the proposed algorithm has excellent performance in recall, precision, F-score, and has certain advantages in efficiency.…”
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Two Strategies to Improve the Differential Evolution Algorithm for Optimizing Design of Truss Structures by Ching-Yun Kao, Shih-Lin Hung, Budy Setiawan

“…Balancing exploration and exploitation is crucial for an effective DE algorithm. This work presents an enhanced DE (EDE) for truss design that utilizes two new strategies, namely, integrated mutation and adaptive mutation factor strategies, to obtain a good balance between the exploration and exploitation of DE. …”
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The Impacts of Internet + Rural Financial Industry on County Economy and Industrial Growth Algorithm by Yuanhui Huang, Yimao Ye

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AN EFFICIENT ALGORITHM FOR MINING FREQUENT ITEM-SETS CONTAINING A CONSTRAINT SUBSET by Dương Văn Hải, Trương Chí Tín

“…In this paper, a structure and unique representation of frequent item-sets restricted on constraint Co using closed frequent item-sets and their generators are proposed. Then, an algorithm called MFS-Contain-IC is developed to quickly and distinctly generate all frequent item-sets containing Co. …”
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

“…Based on convolution operation, pooling operation, softmax classifier, and network optimization algorithm in improved convolutional neural network of LeNet-5, this paper conducts image recognition experiments on handwritten digits and face datasets, respectively. …”
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Numerical approximation for algorithmic tangent moduli for nonlinear viscoelastic model with CSDA method by Xinggui Fan, Jinsheng Xu, Xiong Chen

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A Low-Complexity GA-WSF Algorithm for Narrow-Band DOA Estimation by Haihua Chen, Jialiang Hu, Hui Tian, Shibao Li, Jianhang Liu, Masakiyo Suzuki

“…This paper proposes a low-complexity estimation algorithm for weighted subspace fitting (WSF) based on the Genetic Algorithm (GA) in the problem of narrow-band direction-of-arrival (DOA) finding. …”
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Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation by Karrar Raoof Kareem Kamoona, Cenk Budayan

“…These input optimization algorithms are genetic algorithm (GA) and brute force algorithm (BF). …”
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Topology control scheme based on simulated annealing algorithm in wireless sensor networks by LIU Lin-feng, LIU Ye

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Advanced Optimization Algorithm Combining a Fuzzy Inference System for Vehicular Communications by Teguh Indra Bayu, Yung-Fa Huang, Jeang-Kuo Chen, Cheng-Hsiung Hsieh, Budhi Kristianto, Erwien Christianto, Suharyadi Suharyadi

“…Simulation results demonstrate the effectiveness of this optimization algorithm approach, achieving up to a 169.83% improvement in performance compared to static baseline parameters.…”
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A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors by Fuguo Zhang, Yehuan Liu, Qinqiao Xiong

“…In recent years, network based recommendation algorithms have demonstrated much better performance than the standard collaborative filtering methods. …”
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Analysis of College Students’ Public Opinion Based on Machine Learning and Evolutionary Algorithm by Jinqing Zhang, Pengchao Zhang, Bin Xu

“…First, the singular value decomposition is used in pretreatment of data set which includes outlier detection and dimension reduction. Then, the genetic algorithm is introduced in the training process to find the proper initial parameters of network, and in this way, it can prevent the network from falling into the local minimum. …”
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Optimal Dispatch of Reactive Power Using Modified Stochastic Fractal Search Algorithm by Thang Trung Nguyen, Dieu Ngoc Vo, Hai Van Tran, Le Van Dai

“…This paper applies a proposed modified stochastic fractal search algorithm (MSFS) for dealing with all constraints of optimal reactive power dispatch (ORPD) and finding optimal solutions for three different cases including power loss optimization, voltage deviation optimization, and L-index optimization. …”
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A Contrast Source Inversion Algorithm Formulated Using the Log-Phase Formulation by Tonny Rubæk, Paul M. Meaney, Keith D. Paulsen

“…The contrast source inversion (CSI) algorithm was introduced for microwave imaging in 1997 and has since proven to be one of the most successful algorithms for nonlinear microwave tomography. …”
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Research on Logistics Distribution Vehicle Path Optimization Based on Simulated Annealing Algorithm by Li Yang

“…The simulated annealing algorithm is an effective approximation algorithm for solving optimization problems, and the application of this algorithm to path optimization problems can be of practical value in solving problems in urban road traffic and logistics distribution. …”
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The optimal dispatching strategy of cogeneration based on Deep Q-Network (DQN) algorithm by Zhang Pei, Fu Yan, Yao Fu

Subjects: “…dqn algorithm optimization…”
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