Fast Analytic Sampling Approximation from Cauchy Kernel by Youfa Li, Jing Shang, Honglei Yang, Gengrong Zhang, Shouzhi Yang

“…The paper aims at establishing a fast numerical algorithm for Bk(f), where f is any function in the Hardy space H2(Td) and k is the scale level. …”
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A PD-Type Iterative Learning Control for a Class of Switched Discrete-Time Systems with Model Uncertainties and External Noises by Xuan Yang

“…A PD-type iterative learning control algorithm is applied to a class of linear discrete-time switched systems for tracking desired trajectories. …”
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Location Privacy and Energy Preservation in Sensor Allocation Systems by Hosam Rowaihy

“…We propose sensor-to-task assignments algorithms that take into account location privacy issues. …”
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Robust localization using geographic information in bistatic sonar by Kwang Hee Lee, Eui Cheol Jeong, Seongil Kim, Dong Seog Han

“…This article proposes a robust localization algorithm by improving the accuracy of the source position, receiver position, and sound speed using the known position of an object in the sea. …”
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Adaptive particle filter for state estimation with application to non‐linear system by Fangfang Zhao, Ruijie Cai

“…From the perspective of selecting an appropriate important density functions, in this filter, the particles are first updated using the Spherical Simplex Unscented Kalman Filter algorithm, and then the particles are updated using the Adaptive Extended Kalman filter algorithm. …”
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A Hybrid Heuristic Model for Duty Cycle Framework Optimization by Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Jamal-Deen Abdulai

“…The proposed HSMO-DC primarily has two parts, where the first part takes care of the online cluster head selection and network communication using the seagull algorithm while the second part performs parameter optimization using the mayfly algorithm. …”
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Sparse Optimization of Vibration Signal by ADMM by Song Wanqing

“…In this paper, the alternating direction method of multipliers (ADMM) algorithm is applied to the compressed sensing theory to realize the sparse optimization of vibration signal. …”
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The Optimal Bandwidth Parameter Selection in GPH Estimation by Weijie Zhou, Huihui Tao, Feifei Wang, Weiqiang Pan

“…In this paper, the optimal bandwidth parameter is investigated in the GPH algorithm. Firstly, combining with the stylized facts of financial time series, we generate long memory sequences by using the ARFIMA (1, d, 1) process. …”
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Model and Simulation of Maximum Entropy Phrase Reordering of English Text in Language Learning Machine by Weifang Wu

“…This paper proposes a feature extraction algorithm based on the maximum entropy phrase reordering model in statistical machine translation in language learning machines. …”
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Elastic neural net for the earthquake epicenter search by I. Antoniou, V. V. Ivanov, I. V. Kisel

“…Automated procedures for locating seismic events with a network including arrays and single element seismometers usually incorporate back-azimuth estimates, arrival-time data, and associated uncertainties into a least-squares-inverse location algorithm. Such an algorithm is quite cumbersome and requires expanding a set of non-linear equations in a Taylor series. …”
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Multiobjective Optimization Method for Energy-Saving Design of Green Buildings by Yuanting Yang, Fengxiang Lu, Lan Qing

“…The results show that compared to classic intelligent optimization design algorithms such as nondominated sorting genetic algorithm II (NSGA-II), the proposed method reduces discomfort time by 1.29% while only increasing energy consumption by 0.61%.…”
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Motion Feature Retrieval in Basketball Match Video Based on Multisource Motion Feature Fusion by Biao Ma, Minghui Ji

“…Firstly, the algorithm uses the combination of spatiotemporal interest points and word bag model to represent the features of RGB video. …”
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Granular Space Reduction to a β Multigranulation Fuzzy Rough Set by Junyi Zhou, Shaohui Ma, Jianzhen Li

“…The results show the effectiveness of the proposed algorithm.…”
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Balance Transmission Mechanism in Underwater Acoustic Sensor Networks by Jiabao Cao, Jinfeng Dou, Shunle Dong

“…And then, a data balance transmission algorithm is introduced in the stable data transmission phase. …”
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Research on LRP Integration of E-Commerce Logistics under the Background of Integration of Collection and Distribution by Jiali Li, Zhijie Zhao, Tao Cheng

“…In this paper, the destruction and reorganization strategy of adaptive large-scale neighborhood search algorithm was introduced into the traditional genetic algorithm, so as to conduct research on the logistics location-routing problem under the background of integration of collection and distribution. …”
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Discrete-Time Exponentially Stabilizing Fuzzy Sliding Mode Control via Lyapunov’s Method by Radiša Ž. Jovanović, Zoran M. Bučevac

“…The exponentially stabilizing state feedback control algorithm is developed by Lyapunov’s second method leading to the variable structure system with chattering free sliding modes. …”
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A Memetic Lagrangian Heuristic for the 0-1 Multidimensional Knapsack Problem by Yourim Yoon, Yong-Hyuk Kim

“…We present a new evolutionary algorithm to solve the 0-1 multidimensional knapsack problem. …”
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The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys by Gou Yanni, Wang Qi

“…Based on special features of array buoy and the research field of location and tracking of underwater target, the research combines the highly adaptive nonlinear filtering algorithm unscented Kalman filter with the nonlinear programming of multistation array buoy positioning system. …”
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Construction of College Students’ Mental Health Assessment and Art Therapy System Aided by the Internet of Things and Big Data by Qing Li

“…In order to improve the effect of college students’ mental health assessment, this paper combines the Internet of Things and big data technology to build a college student’s mental health assessment system and analyzes and verifies the clustering effectiveness indicators by using FCM, GK, and GG clustering algorithms. Moreover, this paper explores the basic concepts and processes of FCM algorithm, GK algorithm, and GG algorithm and expounds the connection between the three algorithms. …”
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Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

“…Identifying the most effective algorithm for anomaly detection is essential for enhancing nidustrial productivity. …”
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