A 3D Rail Profile Acquiring Method without Coordinate Splicing by LI Jianfeng, LIU Xi, WANG Wenkun, YAN Qiong

“…Since this algorithm unifies the coordinate system of the left and right structured light 3D scanning system during calibration, it avoids the frequent rotation and translation matching between coordinate systems in subsequent measurement process, thus improves the detection speed of the system and reduces the burden of the system hardware. …”
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Fast generation of high-dimensional spatial extremes by Hans Van de Vyver

“…We generated datasets with 10,000 gridpoints, a number that can be increased without difficulty. Since current impact models often require high-resolution climate inputs, the new algorithm is particularly useful for improved impact and vulnerability assessment.…”
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Bayesian network structure learning by opposition-based learning by Baodan Sun, Xinyi Zhang, Junhui Jiang, Jianguang Gong, Dan Lin

“…Since the computation complexity of BN structure learning increases exponentially with the number of nodes, the proposed algorithm incorporates opposition-based learning to narrow the search space of heuristic algorithms, which can effectively accelerate the searching process. …”
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Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization by Fagui Liu, Hengrui Qin, Xin Yang, Yi Yu

“…However, the performance of this algorithm is sensitive to the values of the hyper parameters. …”
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Alleviating the quantum Big-M problem by Edoardo Alessandroni, Sergi Ramos-Calderer, Ingo Roth, Emiliano Traversi, Leandro Aolita

“…Our algorithm gives values of Δ orders of magnitude greater, e.g. for portfolio optimization instances. …”
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Improved Synthesis of Global Irradiance with One-Minute Resolution for PV System Simulations by Martin Hofmann, Stefan Riechelmann, Cristian Crisosto, Riyad Mubarak, Gunther Seckmeyer

“…We present a two-step algorithm that is capable of synthesizing one-minute global irradiance time series based on hourly averaged datasets. …”
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Research on Online Monitoring of Crack Damage of Wind Turbine Blades Based on Working Modal Analysis by Yuhui WU, Yangfan ZHANG, Feng GAO, Yu WANG, Yaohan WANG, Weixin YANG, Hong ZHANG

“…Finally, blade vibration signals, modal parameters, and WT operation data are fused into multi-source data sets, and blade crack damage fault diagnosis is performed based on the LightGBM algorithm. The diagnosis results show that the LightGBM algorithm can achieve a better diagnosis effect than the conventional machine learning algorithm, and the accuracy of the diagnosis algorithm can be significantly increased by integrating blade modal parameters into the data set, so as to improve the accuracy of online monitoring of blade crack damage.…”
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An optimization-inspired intrusion detection model for software-defined networking by Hui Xu, Longtan Bai, Wei Huang

“…The ESWO algorithm integrates multiple strategies, including tent chaotic map strategy and elite opposition learning strategy to improve the diversity of the population, Lévy flight strategy to prevent the algorithm from falling into local optimum in the early stage, and dynamic adjustment strategy of control parameters to balance exploration and exploitation of the algorithm. …”
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Time-Optimal Stabilization of Asynchronous Boolean Control Networks Under State and Control Constraints by Haonan Wang, Shuping Wang, Ruohai Xi, Shuhua Gao

“…Notably, the time complexity remains relatively low since our algorithm only requires one-step state transition computations, avoiding the expensive matrix products commonly used in existing algebraic methods. …”
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Optimization of spline parameters in approximation of multivalued functions by D. A. Karpov, V. I. Struchenkov

“…Therefore, the previously developed algorithm is unsuitable for solving this problem, even if the same spline elements are used. …”
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Machine Learning Approach and Model for Predicting Proton Stopping Power Ratio and Other Parameters Using Computed Tomography Images by Charles Ekene Chika

“…Conclusion: The proposed method proves to be more flexible and robust among all presented methods since it has lower testing error in most cases and can be improved based on data using the machine learning algorithm. …”
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Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View by Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi

“…Recently, multigranularity has been an interesting topic, since different levels of granularity can provide different information from the viewpoint of Granular Computing (GrC). …”
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Solving the Variational Inequality Problem Defined on Intersection of Finite Level Sets by Songnian He, Caiping Yang

“…Since our algorithm avoids calculating the projection PC (calculating PC by computing several sequences of projections onto half-spaces containing the original domain C) directly and has no need to know any information of the constants L and η, the implementation of our algorithm is very easy. …”
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Evaluation and Choice of an Anti-Aircraft Missile System under Uncertain Conditions Based on Fuzzy-Integral Calculus and Hierarchical Cluster Analysis by Sergey Sveshnikov, Victor Bocharnikov, Yuri Mudrak

“…We propose to use a combination of two algorithms. The first algorithm calculates the estimates of AAMWSs in the criteria hierarchy using fuzzy-integral calculus. …”
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Control‎ ‎and‎ ‎Synchronization‎ ‎of‎ a‎ ‎Chaotic Memristor System Based on Graphical Approach by Marzieh Pabasteh, Bashir Naderi

“…Our main goal is to control the system using a graphical algorithm based on contraction method in dynamical systems‎. ‎…”
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EVALUASI KINERJA ALGORITMA ASSOCIATION RULE by Gysber J. Tamaela

“…Some researches in association rule since the invention of AIS algorithm in 1993 have yielded several new algorithms. …”
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Analysis of pregnancy and childbirth course in pregnant women with excessive weight. by Yu. M. Duka

“…As a result of the obtained data in women of prospective group treatment algorithm was developed. This algorithm represented a complex treatment including antiagregant and anticoagulant therapy, co-factor vitamin therapy. …”
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Experimental testing of a modified active disturbance rejection control for microphonics reduction in a 9-cell TESLA superconducting cavity by A. Elejaga, J. Jugo, P. Echevarria, A. Neumann, A. Ushakov, J. Knobloch

“…This work shows the results obtained with a novel modified active disturbance rejection control (MADRC) algorithm when controlling the detuning of a 9-cell TESLA superconducting radio frequency cavity. …”
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An adaptive video stream transmission control method for wireless heterogeneous networks based on A3C by Zhiqiang LUO, Wei WANG, Xiaorong ZHU

“…The adaptive bit rate (ABR) algorithm has become the focus research in video transmission.However,due to the characteristics of 5G wireless heterogeneous networks,such as large fluctuation of channel bandwidth and obvious differences between different networks,the adaptive video stream transmission with multi-terminal cooperation was faced with great challenges.An adaptive video stream transmission control method based on deep reinforcement learning was proposed.First of all,a video stream dynamic programming model was established to jointly optimize the transmission rate and diversion strategy.Since the solution of this optimization problem depended on accurate channel estimation,dynamically changing channel state was difficult to achieve.Therefore,the dynamic programming problem was improved to reinforcement learning task,and the A3C algorithm was used to dynamically determine the video bit rate and diversion strategy.Finally,the simulation was carried out according to the measured network data,and compared with the traditional optimization method,the method proposed better improved the user QoE.…”
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Two Parallel-Machine Scheduling Problems with Function Constraint by Chia-Lun Hsu, Jan-Ray Liao

“…Furthermore, we simulated the performance of the algorithm through computational testing. The overall mean percent error of the heuristic is 0.0565%. …”
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