Research and application of XGBoost in imbalanced data by Ping Zhang, Yiqiao Jia, Youlin Shang

“…As a new and efficient ensemble learning algorithm, XGBoost has been widely applied for its multitudinous advantages, but its classification effect in the case of data imbalance is often not ideal. …”
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Mathematical Analysis of the Prey-Predator System with Immigrant Prey Using the Soft Computing Technique by Naveed Ahmad Khan, Muhammad Sulaiman, Jamel Seidu, Fahad Sameer Alshammari

“…The proposed algorithm uses a function approximating ability of Legendre polynomials based on Legendre neural networks (LeNNs), global search ability of the whale optimization algorithm (WOA), and a local search mechanism of the Nelder–Mead algorithm. …”
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Adaptive Mixed-Attribute Data Clustering Method Based on Density Peaks by Shihua Liu

“…It also outperformed a modified density peaks clustering algorithm for mixed-attribute data (DPC_M) algorithms.…”
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Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space by Konstantinos Koufos, Riku Jäntti

“…When the number of secondary transmitters is high, the computational complexity of the proposed algorithm becomes high too. We show how the algorithm could be modified to reduce its computational complexity at the cost of negligible performance loss. …”
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Efficient Learning of Quantum States Prepared With Few Fermionic Non-Gaussian Gates by Antonio Anna Mele, Yaroslav Herasymenko

“…We also provide an efficient property-testing algorithm that, given access to copies of a state, determines whether such a state is far or close to the set of states for which our learning algorithm works. …”
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Weighted determination algoritm of boundary pixels by D. V. Zaerko, V. A. Lipnitski

“…The algorithm is simple to program and easily integrates with the basic convolution matrix algorithm in digital image defects.…”
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A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks by Shukui Zhang, Hao Chen, Qiaoming Zhu, Juncheng Jia

“…Compared to CollECT algorithm and CDS algorithm, this algorithm improves the detection accuracy and reduces the traffic.…”
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An Inertial Method for Split Common Fixed Point Problems in Hilbert Spaces by Haixia Zhang, Huanhuan Cui

“…By using the inertial technique, we propose a new algorithm for solving the problem. Under some mild conditions, we establish two weak convergence theorems of the proposed algorithm. …”
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Optimization of Vehicle Paths considering Carbon Emissions in a Time-Varying Road Network by Chong Ye, Fang Liu, YuKun Ou, Zeyu Xu

“…The experimental results show that compared with the two classical algorithms, the simulated annealing-genetic hybrid algorithm (GA-SA) has better solution performance, inherits the robustness and potential parallelism of the genetic algorithm, and has a higher practical value. …”
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Dynamic Path Planning of Emergency Vehicles Based on Travel Time Prediction by Jiandong Zhao, Yujie Guo, Xiaohong Duan

“…Thirdly, aimed at the problem of solving two-stage target model, a two-stage shortest path algorithm is proposed, which is composed of K-paths algorithm and shuffled frog leaping algorithm. …”
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Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching by Yixiong Zhang, Mingliang Tao, Kewei Yang, Zhenmiao Deng

“…To improve the spatial resolution of reconstructed images/videos, this paper proposes a Superresolution (SR) reconstruction algorithm based on iterative back projection. In the proposed algorithm, image matching using critical-point filters (CPF) is employed to improve the accuracy of image registration. …”
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A Study about Prevent Tampering with Encrypted Messages over the Network Using Digital Signature by Majed Al-khairow, Mohamad Firas Al-halabi

“…We came up with a lower execution time, and we also compared the execution time of our modified algorithm with the original algorithm and some other Digital signature algorithms. …”
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A rank correlation coefficient based particle filter to estimate parameters in non-linear models by Qingxu Meng, Kaicheng Li

“…Particle filtering algorithm has found an increasingly wide utilization in many fields at present, especially in non-linear and non-Gaussian situations. …”
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The Application of the Depth Model of Precise Matching between People and Posts Based on Ability Perception in Human Resource Management by Hui Cao

“…The results show that compared with other algorithms, the F1 value of the proposed algorithm is obviously improved, and the proposed algorithm performs best, with the F1 value of 0.829. …”
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Numerical Solution of Two-Point Boundary Value Problems by Interpolating Subdivision Schemes by Ghulam Mustafa, Syeda Tehmina Ejaz

“…Numerical examples are given to illustrate the algorithm and its convergence. Moreover, the approximation properties of the collocation algorithm have also been discussed.…”
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Direct Data Domain Sparsity-Based STAP Utilizing Subaperture Smoothing Techniques by Zhaocheng Yang, Rui Fa, Yuliang Qin, Xiang Li, Hongqiang Wang

“…We propose a novel direct data domain (D3) sparsity-based space-time adaptive processing (STAP) algorithm utilizing subaperture smoothing techniques for airborne radar applications. …”
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A Decentralised Task Mapping Approach for Homogeneous Multiprocessor Network-On-Chips by Peter Zipf, Gilles Sassatelli, Nurten Utlu, Nicolas Saint-Jean, Pascal Benoit, Manfred Glesner

“…We present a heuristic algorithm for the run-time distribution of task sets in a homogeneous Multiprocessor network-on-chip. …”
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Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers by Dawei Li, Xiaojian Hu, Cheng-jie Jin, Jun Zhou

“…This study develops a tree augmented naive Bayesian (TAN) classifier based incident detection algorithm. Compared with the Bayesian networks based detection algorithms developed in the previous studies, this algorithm has less dependency on experts’ knowledge. …”
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Multi-objective Newton-Raphson-based optimizer for fractional-order control of PEM fuel cells by Mahmoud S. AbouOmar, Sami El Ferik

“…Results demonstrate the competitive capabilities of the proposed MONRBO algorithm compared to established algorithms including the Nondominated Sorting Genetic Algorithm-II (NSGA-II), Multi-objective Evolutionary Algorithm based on Decomposition (MOEA-D), and Multi-objective Particle Swarm Optimization with Crowding Distance (MOPSO-CD). …”
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PSO with Mixed Strategy for Global Optimization by Jinwei Pang, Xiaohui Li, Shuang Han

“…Particle swarm optimization (PSO) is an evolutionary algorithm for solving global optimization problems. …”
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