Designing a Neural Observer to Estimate the State Variables of the Dynamical System of a Specific Class of Leukaemia by Yousef Farshidi, Reza Ghasemi, Aminin Sharafian Ardekani

“…In order to adjust the neural network weights, the error back propagation learning algorithm was implemented. First of all, in this algorithm, the system outputs are generated according to random weights. …”
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Development of a Driving Cycle for Fuzhou Using K-Means and AMPSO by Minrui Zhao, Hongni Gao, Qi Han, Jiaang Ge, Wei Wang, Jue Qu

“…First, bad data in the original dataset are preprocessed, the time-series standard smoothing algorithm is used to smoothen the data, and Lagrange’s interpolation is used to realize data interpolation. …”
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Identification of Weakly Pitch-Shifted Voice Based on Convolutional Neural Network by Yongchao Ye, Lingjie Lao, Diqun Yan, Rangding Wang

“…Extensive results show that the algorithm achieves high detection rates for both binary and multiple classifications.…”
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Mobile Base Station and Clustering to Maximize Network Lifetime in Wireless Sensor Networks by Oday Jerew, Kim Blackmore, Weifa Liang

“…In the work of Jerew and Liang (2009) we have proposed a novel clustering-based heuristic algorithm for finding a trajectory of the mobile BS that strikes a nontrivial tradeoff between the traffic load among sensor nodes and the tour time constraint of the mobile BS. …”
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Metaheuristic Approaches for Hydropower System Scheduling by Ieda G. Hidalgo, Regiane S. de Barros, Jéssica P. T. Fernandes, João Paulo F. Estrócio, Paulo B. Correia

“…They combine Genetic Algorithm with Strength Pareto Evolutionary Algorithm and Ant Colony Optimization. …”
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Impact of Dual Placement and Routing on WDDL Netlist Security in FPGA by Emna Amouri, Habib Mehrez, Zied Marrakchi

“…Then, we introduce a timing-balance-driven routing algorithm which is architecture independent. Our placement and routing techniques proved to be very promising. …”
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Reducing Side Effects of Hiding Sensitive Itemsets in Privacy Preserving Data Mining by Chun-Wei Lin, Tzung-Pei Hong, Hung-Chuan Hsu

“…In this paper, a novel hiding-missing-artificial utility (HMAU) algorithm is proposed to hide sensitive itemsets through transaction deletion. …”
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Joint DOA and Polarization Estimation for Unequal Power Sources by Qingyuan Fang, Yong Han, Ming Jin, Wenyi Dong

“…In addition, the performances of the proposed method are provided, as well the Cramer Rao Bound (CRB), which show approximate performance as the polarimetric MUSIC algorithm.…”
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Wavelet Domain Multidictionary Learning for Single Image Super-Resolution by Xiaomin Wu, Jiulun Fan, Jian Xu, Yanzi Wang

“…Comparisons with various state-of-the-art methods by experiments showed that our proposed algorithm is superior to some related works.…”
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Low-Shot Wall Defect Detection for Autonomous Decoration Robots Using Deep Reinforcement Learning by Fanyu Zeng, Xi Cai, Shuzhi Sam Ge

“…In this work, we solve this issue to propose the low-shot wall defect detection algorithm using deep reinforcement learning (DRL) for autonomous decoration robots. …”
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Accelerating the Adaptive Eyre–Milton FFT-based method for infinitely double contrasted media by Dolbeau, Martin, Bleyer, Jérémy, Sab, Karam

“…Sab et al. (2024) have recently proposed an FFT-based iterative algorithm, termed Adaptive Eyre–Milton (AEM), for solving the Lippmann–Schwinger equation in the context of periodic homogenization of infinitely double contrasted linear elastic composites (heterogeneous materials with linear constitutive laws that contain both pores and rigid inclusions). …”
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A Modified NM-PSO Method for Parameter Estimation Problems of Models by An Liu, Erwie Zahara, Ming-Ta Yang

“…The results demonstrate that the proposed M-NM-PSO method yields better estimation results than those obtained by the genetic algorithm, the modified genetic algorithm (real-coded GA (RCGA)), the conventional particle swarm optimization (PSO) method, and the conventional NM-PSO method.…”
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Data-Driven Approaches for Diagnosis of Incipient Faults in Cutting Arms of the Roadheader by Qiang Liu, Songyong Liu, Qianjin Dai, Xiao Yu, Daoxiang Teng, Ming Wei

“…In this study, four machine learning tools (the back-propagation neural network based on genetic algorithm optimization, the naive Bayes based on genetic algorithm optimization, the support vector machines based on particle swarm optimization, and the support vector machines based on dynamic cuckoo) are applied to address the challenge in the IFDI of cutting arms. …”
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Representing groups of students as personas: A systematic review of persona creation, application, and trends in the educational domain by Ali Farooq, Amani Alabed, Pilira Stella Msefula, Reham AL Tamime, Joni Salminen, Soon-gyo Jung, Bernard J. Jansen

“…The findings suggest significant opportunities for the educational sector to leverage algorithmic methods to advance persona creation and broaden their application scope.…”
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Parallel Swarms Oriented Particle Swarm Optimization by Tad Gonsalves, Akira Egashira

“…The attractive feature of the PSO-PSO version of the algorithm is that it does not introduce any new parameters to improve its convergence performance. …”
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A Novel Vibration Suppression Method for Welding Robots Based on Welding Pool Instability Evaluation and Trajectory Optimization by Mingtian Ma, Hong Lu, Yongquan Zhang, Zidong Wu, He Huang, Xujie Yuan, Xu Feng, Zhi Liu, Zhangjie Li

“…The proposed vibration suppression algorithm is based on the optimization of the welding trajectory. …”
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Structural Damage Identification Based on the Transmissibility Function and Support Vector Machine by Yansong Diao, Xue Men, Zuofeng Sun, Kongzheng Guo, Yumei Wang

“…Finally, the classification algorithm and regression algorithm of support vector machine are employed to identify the damage location and damage severity respectively. …”
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Design and structure of overlapping regions in PCA via deep learning by Yan Zheng, Xi-Chen Cui, Fei Guo, Ming-Liang Dou, Ze-Xiong Xie, Ying-Jin Yuan

“…Utilizing the model, we developed the SmartCut algorithm aimed at designing oligonucleotides and enhancing the success rate of PCA experiments. …”
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Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments by Zheyi Chen, Xu Zhao, Bing Lin

“…To address this problem, we propose an adaptive discrete particle swarm optimization algorithm based on the fuzzy theory and genetic algorithm operators (DPSO-FGA) to minimize the fuzzy data transmission time of scientific workflows. …”
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A Privacy-Preserving Outsourcing Data Storage Scheme with Fragile Digital Watermarking-Based Data Auditing by Xinyue Cao, Zhangjie Fu, Xingming Sun

“…Logistic map-based chaotic cryptography algorithm is used to preserve the privacy of outsourcing data, which has a fast operation speed and a good effect of encryption. …”
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