Obstacle Avoidance Path Planning for UAV Based on Improved RRT Algorithm by Fan Yang, Xi Fang, Fei Gao, Xianjin Zhou, Hao Li, Hongbin Jin, Yu Song

“…In the process of extending the random tree, ACO (ant colony optimization) is introduced to make the planning path asymptotically optimal. …”
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A Convolutional Neural Network for Nonrigid Structure from Motion by Yaming Wang, Xiangyang Peng, Wenqing Huang, Meiliang Wang

“…In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network. …”
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Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics by Pinxin Si

“…The aerodynamic analysis and training optimization method of the S-shaped arc ball based on ant colony optimization has sped up the intelligent training system of Chinese football tactics.…”
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An Improved Differential Evolution Algorithm Based on Adaptive Parameter by Zhehuang Huang, Yidong Chen

“…The differential evolution (DE) algorithm is a heuristic global optimization technique based on population which is easy to understand, simple to implement, reliable, and fast. …”
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A Novel Filled Function Method for Nonlinear Equations by Liuyang Yuan, Qiuhua Tang

“…Firstly, the original problem is converted into an equivalent global optimization problem. Subsequently, a novel filled function with one parameter is proposed for solving the converted global optimization problem. …”
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Exact Optimum Design of Segmented Thermoelectric Generators by M. Zare, H. Ramin, S. Naemi, R. Hosseini

“…Because of simplicity, the approximate methods are widely used for design and optimization of the STEGs. This study is focused on employment of exact method for design and optimization of STEGs and comparison of exact and approximate results. …”
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Mathematical methods of data processing in the formation and evaluation of sectoral structure in agricultural enterprises by T. Kalashnikova, І. Кoshkalda, O. Тrehub

“…The implementation of optimization and simulation models allows to assess the existing level of sectoral structure in agricultural enterprise and to form its optimal sectoral structure with ensuring the rational use of resources and obtaining profit.…”
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Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM by Cheng-Wei Fei, Guang-Chen Bai, Wen-Zhong Tang, Yatsze Choy

“…And then the nonlinear dynamic optimal control model of casing radial deformation was constructed with T-LSSVM. …”
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Multidimensional Dynamics and Forecast Models of Network Public Opinions Based on the Fusion of Smart Transportation and Big Data by Guojun Sheng, Yi Guan

“…Finally, this paper uses rough set theory to optimize the model and compares the data before and after optimization. …”
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FPGA Implementation of Real-Time Compressive Sensing with Partial Fourier Dictionary by Yinghui Quan, Yachao Li, Xiaoxiao Gao, Mengdao Xing

“…OMP reconstruction can be divided into two main stages: optimization which finds the closely correlated vectors and least square problem. …”
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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…These benefits have been conclusively showcased using several microstrip antennas and illustrated by a number of design scenarios involving antenna geometry optimization for a variety of performance specifications.…”
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Towards Smart and Resilient City Networks: Assessing the Network Structure and Resilience in Chengdu–Chongqing Smart Urban Agglomeration by Rui Li, Yuhang Wang, Zhiyue Zhang, Yi Lu

“…The main conclusions are as follows: (1) subnetworks exhibit a ‘core/periphery’ structure with a significant evolution trend, particularly the metropolitan area integration degree of capital cities has significantly improved; (2) the technology network is the most resilient but was the most affected by COVID-19, while the population and information networks are the least resilient, resulting from poor hierarchy, disassortativity, and agglomeration; (3) network resilience can be improved through system optimization and node enhancement. System optimization should focus more on improving the coordinated development of population, information, and technology networks due to their low synergistic level of resilience, while node optimization should adjust strategies according to the dominance, redundancy, and network role of nodes. …”
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Analyzing Shared Bike Usage Through Graph-Based Spatio-Temporal Modeling by Dinh Viet Cuong, Vuong M. Ngo, Paolo Cappellari, Mark Roantree

“…This generic approach adopts a broad series of analyses, comprising different levels of granularity and complexity, to enable better interpretation of network dynamics at a suitably granular level to help the optimization of transport networks. A large dataset provided by an electric bike company is used to address key research questions in both interpreting activity patterns and supporting network optimization.…”
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Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…Subsequently, a neural network based on the extreme learning machine methodology is developed, with its initial weights and biases fine-tuned through an improved particle swarm optimization, which is termed IPSO-ELM. This optimization aims to boost the model’s predictive precision. …”
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Antibody-mediated degradation of 4R-tau restores mitochondrial membrane polarization in human induced pluripotent stem cell-derived neurons with the MAPT 10+16 mutation by Dale O. Starkie, Charles Arber, Terry Baker, Daniel J. Lightwood, Selina Wray

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Hybrid Modified K-Means with C4.5 for Intrusion Detection Systems in Multiagent Systems by Wathiq Laftah Al-Yaseen, Zulaiha Ali Othman, Mohd Zakree Ahmad Nazri

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Nonlinear Control and Synchronization with Time Delays of Multiagent Robotic Systems by Yassine Bouteraa, Jawhar Ghommam, Nabil Derbel, Gérard Poisson

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Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data by Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao

“…The calibration is formulated as an optimization problem with a black-box objective function. …”
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CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations by Trung Nguyen, George K. I. Mann, Andrew Vardy, Raymond G. Gosine

“…Some advanced techniques such as global pose graph optimization and loop closure demand relatively high computation and processing time to execute the optimization procedure for the entire trajectory and may not be feasible to be implemented in a low-cost robotic platform. …”
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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

“…Compared to comparable systems without feature selection, feature resampling, and optimization methods, the results demonstrate that employing optimized XGBoost along with grid search in conjunction with SelectKBest and SMOTE strategy has resulted in greater performance, with an 89% R2 score. …”
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