A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters by Khoo David Wee Yang, Ng Zhi Qun, Seah Leong Keey

“…This study introduces a wavelet transform-based filtering algorithm to denoise and extract relevant features from non-stationary signals. …”
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An FPGA Task Placement Algorithm Using Reflected Binary Gray Space Filling Curve by Senoj Joseph Olakkenghil, K. Baskaran

“…This representation allows the algorithm to insert or delete tasks quickly and also to calculate the fragmentation easily. …”
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IMPLEMENTATION OF GENETIC ALGORITHM BASED ON JAVASCRIPT IN OBJECT ROUTING SHORTEST TOUR ON TIMOR ISLAND by Justin Eduardo Simarmata, Ferdinandus Mone

“…The purpose of this study is to apply a genetic algorithm using a programming language that can be used to determine the shortest route to tourist attractions in  Timor Island, East Nusa Tenggara. …”
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Implementation ofVision PSOFastSLAM Algorithm for Unmanned Aerial Vehicles in Mine Environment by LIU Shu-chi, YANG Wei

“…In order to realize the autonomous flight of Unmanned Aerial Vehicle (UAV) in the mine environment without GPS and also precise positioning it, an algorithm called Fast Simultaneous Location and Mapping (FastSLAM) which is based on RaoBlackwellized particle filter is proposed.Firstly, an artificial road sign suitable for underground mine was designed and the mathematical model of Simultaneous Location and Mapping (SLAM) algorithm for UAV was established.Then an improved algorithm called PSOFastSLAM was proposed to improve the accuracy, to estimate the pose of UAV and the position of guideposts and to achieve the accurate positioning and map building for UAV.Finally, the simulation experiment is simulated, simulation results show that PSOFastSLAM algorithm can improve the particle degeneration problem in FastSLAM algorithm effectively and improve the positioning accuracy of UAV.…”
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Diagnostic algorithms in patients with chronic coronary syndromes — what does clinical practice show? by A. N. Sumin

“…The results were studied in the EURECA multicenter registry, and the ESC-2019 diagnostic algorithm was compared with other known algorithms. …”
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A New Logistic Dynamic Particle Swarm Optimization Algorithm Based on Random Topology by Qingjian Ni, Jianming Deng

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Characterization of High-Speed Steels—Experimental Data and Their Evaluation Supported by Machine Learning Algorithms by Manfred Wiessner, Ernst Gamsjäger

“…X-ray diffractograms of high-speed steels are analyzed using machine learning algorithms to accurately classify various heat treatments. …”
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Quadrotor Robust Fractional-Order Control Based on a Recent Bonobo Optimization Algorithm by Faycal Ziani, Aissa Benhammou, Mohamed Amine Hartani, Hegazy Rezk

“…The five fractional parameters for each engine are also improved using the Bonobo Optimization (BO) algorithm. …”
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APPLICATION OF RANDOM FOREST ALGORITHM ON WATCH PRICE PREDICTION SYSTEM USING FRAMEWORK FLASK by Dzakiyyatul Kirom Dalimunthe, Raden Bagus Fajriya Hakim

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Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model by N. A. Moiseev, G. V. Aivazian

“…The present research proposes algorithm of assessing dynamic correlation of time series connected by TVP-regression model. …”
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A Power Control Algorithm (PCA) and Software Tool for Femtocells in LTE-A Networks by Sajjad Ahmad Khan, Muhammad Asshad, Adnan Kavak, Kerem Küçük

“…Though, similar all otherwireless networks, HetNet also yield from the interference problems, i.e., theco-tier and cross-tier interferences. …”
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The Use of a Modern Algorithm for Prevention of Late Complications in Acute Poisoning with Acetic Acid by R. N. Akalayev, A. A. Stopnitsky

“…Therefore, the prevention of these complications should include not only local treatment of the burn surface, but also complex therapy aimed at restoring the function of affected organs at the early hospital stage and rehabilitation stage. …”
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Estimation of Stress Strength Reliability for Three-Parameter Weibull Distribution Using Jaya Algorithm by Saurabh Laximan Raikar, Rajesh Suresh Prabhu Gaonkar

“…Jaya algorithm is a highly effective recent metaheuristic technique. …”
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A Hybrid Algorithm Based Static Model Updating Method and Its Application to Spacecraft by Jutao Wang, Zhenzhong Liu, Xiaofei Wang

“…The corresponding optimization algorithm not only should have a stronger capability to find the global optimum, but also should achieve an optimal result with high accuracy. …”
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Assigning Metaheuristics to a Logistics Problem: A Novel Classification System for Algorithms and Problems by Tamara J. Bíró, Adrián Horváth

“…Metaheuristic algorithms applied to NP-hard problems are proven effective techniques in the field of optimization to ensure a good result within an acceptable calculation time. …”
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A Cellular Automata Bioinspired Algorithm Designing Data Trees in Wireless Sensor Networks by Michail-Antisthenis I. Tsompanas, Richard Mayne, Georgios Ch. Sirakoulis, Andrew I. Adamatzky

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New Ant Colony Optimization Algorithms for Variants of Multidimensional Assignments in d-Partite Graphs by Krzysztof Schiff

“…These optimization problems are solved using the various ant algorithms proposed in this paper. The proposed algorithms differ not only in terms of the objective function, but also in terms of desirability functions, as previously established, and they achieved a smaller sum of weights for cliques in the case of weighted complete graphs than previous ant algorithms presented in the literature. …”
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A Feature Weighted Fuzzy Clustering Algorithm Based on Multistrategy Grey Wolf Optimization by Yongli Liu, Zhonghui Wang, Hao Chao

“…This algorithm cannot only improve clustering accuracy by considering the different importance of features and assigning each feature different weight but also can easily obtain the global optimal solution and avoid the impact of the initialization process by implementing multistrategy grey wolf optimization. …”
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Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning by Yang GAO, Jun-li CHEN, Guang-li YANG

“…A rapid off-grid DOA estimating method of RV-OGSBL was raised based on unitary transformation,against the problem of traditional sparse Bayesian learning (SBL) algorithm in solving effectiveness of signal’s DOA estimation under condition of lower signal noise ratio (SNR).Actual received signal of uniform linear array was generated through constructing augment matrix as the processing signal used by DOA estimation.Then,estimation model was transformed from complex value to real value by using unitary transformation.In the next step,off-grid model and sparse Bayesian learning algorithm were combined together to process the realization of DOA estimation iteratively.The accuracy of estimation could made relatively high.The simulation result demonstrates that the RV-OGSBL method not only maintains the performance of traditional SBL algorithm,but also reduces the computational complexity significantly.Under the situation of lower signal noise ratio (SNR) and low number of snapshots,the running time of algorithm is reduced about 50%.This shows the RV-OGSBL method is a rapid DOA estimation algorithm.…”
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A power storage station placement algorithm for power distribution based on electric vehicle by Jianwen Xu, Ping Yi, Wei Wang, Ting Zhu

“…As the basic and priority problem, choosing the suitable location to place power storage stations can not only reduce the total number of construction but also increase the utilization rate of each one. Main work involves the two branch algorithms for solving the placement problem; simulation while using real-world transportation data of two city bus maps and analysis about the advantages and disadvantages of algorithms.…”
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