Global progress in competitive co-evolution: a systematic comparison of alternative methods by Stefano Nolfi, Paolo Pagliuca

“…Finally, we compare the efficacy of four qualitatively different algorithms, including two newly introduced methods. …”
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Study on the correlation of toughness with chemical composition and tensile test results in microalloyed API pipeline steels by Pouraliakbar H., Khalaj G., Jandaghi M.R., Khalaj M.J.

“…In this investigation, an artificial neural network model with feed forward topology and back propagation algorithm was developed to predict the toughness (area underneath of stress-strain curve) of high strength low alloy steels. …”
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A Street Parking System Using Wireless Sensor Networks by Zusheng Zhang, Xiaoyun Li, Huaqiang Yuan, Fengqi Yu

“…For accurately detecting a parking car, a vehicle detection algorithm is proposed. And an adaptive sampling mechanism is used to reduce the energy consumption. …”
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Method of Using RealSense Camera to Estimate the Depth Map of Any Monocular Camera by Li-fen Tu, Qi Peng

“…In order to verify the effectiveness of the proposed method, a hardware system was constructed using the Micro-vision RS-A14K-GC8 industrial camera and the Intel RealSense D415 depth camera, and the depth map fitting algorithm proposed in this paper was used to test the system. …”
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Flood change detection model based on an improved U-net network and multi-head attention mechanism by Fajing Wang, Xu Feng

“…Specifically, the accuracy of the model algorithm in this work reaches 95.52%, marking a 3.46% improvement over the baseline U-Net network. …”
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Joint Virtual Energy Storage Modeling with Electric Vehicle Participation in Energy Local Area Smart Grid by Rui-Cheng Dai, Bi Zhao, Xiao-Di Zhang, Jun-Wei Yu, Bo Fan, Biao Liu

“…Therefore, for the optimization problem of virtual energy storage power, a continuous rolling optimization algorithm to determine the feasible solution of the high-dimensional complex constraint optimization problem is proposed to solve the optimization problem. …”
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Intelligent Robust Control of Roadheader Based on Disturbance Observer by Shuo Wang, Dongjie Wang, Aixiang Ma, Xihao Yan, Sihai Zhao

“…The eel foraging optimization algorithm was also improved and used to tune the controller parameters. …”
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Compound Autoregressive Network for Prediction of Multivariate Time Series by Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jianlei Kong, Yutian Lu

“…Thirdly, the prediction algorithm was concluded for the time series with multiple variables. …”
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Development of a Robotic Catheter Manipulation System Based on BP Neural Network PID Controller by Xu Ma, Jinpeng Zhou, Xu Zhang, Qi Zhou

“…The results show that the new control algorithm is feasible and effective. The results show that the synchronization performance of BP neural network PID controller is better than that of traditional PID controller.…”
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Dynamic Model for Hydro-Turbine Generator Units Based on a Database Method for Guide Bearings by Yong Xu, Zhaohui Li, Xide Lai

“…Taking advantage of the method, rotating speed and bearing clearance can be considered in the model. A novel algorithm, which can take account of both transient and steady-state analysis, is proposed to solve the model. …”
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The Fault Diagnosis of Rolling Bearing Based on Improved Deep Forest by Xiwen Qin, Dingxin Xu, Xiaogang Dong, Xueteng Cui, Siqi Zhang

“…To address these issues, a rolling bearing fault diagnosis method based on the improved deep forest algorithm is proposed. Firstly, the fault feature information of rolling bearing is extracted through multigrained scanning, and then the fault diagnosis is carried out by cascade forest. …”
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Addressing Rare Outages in C-V2X With Time-Controlled One-Shot Resource Scheduling by Md Saifuddin, Mahdi Zaman, Yaser P. Fallah, Jayanthi Rao

“…This allocation is based on a semi persistent sensing-based scheduling scheme (SPS) algorithm. But, due to this reuse of periodic resources, the possibility of loss of consecutive packets between the same vehicle pair is significant. …”
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Use of Continuous Electronic Fetal Monitoring in a Preterm Fetus: Clinical Dilemmas and Recommendations for Practice by Karolina Afors, Edwin Chandraharan

“…We have proposed an algorithm “ACUTE” to aid management.…”
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GA-ARMA Model for Predicting IGS RTS Corrections by Mingyu Kim, Jeongrae Kim

“…We propose applying a genetic algorithm autoregressive moving average (GA-ARMA) model to predict the IGS RTS corrections during data loss periods. …”
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Synchronization of a New Chaotic System Using Adaptive Control: Design and Experimental Implementation by Alfredo Roldán-Caballero, J. Humberto Pérez-Cruz, Eduardo Hernández-Márquez, José Rafael García-Sánchez, Mario Ponce-Silva, Jose de Jesus Rubio, Miguel Gabriel Villarreal-Cervantes, Jesús Martínez-Martínez, Enrique García-Trinidad, Alejandro Mendoza-Chegue

“…With the aim of verifying the feasibility and performance of the proposed approach, a comparison with an active control algorithm is developed at the numerical simulation level. …”
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ROLLING BEARING FAULT DIAGNOSIS BASED ON ADAPTIVE RCGMVMFE AND MANIFOLD LEARNING by LIU WuQiang, YANG XiaoQiang, SHEN JinXing

“…Finally, the whale optimization algorithm（WOA）is used to optimize the kernel extreme learning machine（WOA-KELM） so as to classify the low-dimensional fault features. …”
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Optimal Location of Multiple Tuned Mass Dampers in Regular and Irregular Tall Steel Buildings Plan by Mohsen Khazaei, Reza Vahdani, Ali Kheyroddin

“…The SAP2000 API and MATLAB genetic algorithm are used to determine the optimal location of the MTMDs in the roof plans of the buildings. …”
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Property Analysis of MIMO-Based Missile-Borne Forward-Looking SAR by Yachao Li, Ziqiang Meng, Shengqi Zhu, Yinghui Quan, Mengdao Xing, Zheng Bao

“…The tiny changes of 2D resolution during the synthetic aperture time should be considered when designing the imaging algorithm of MFL-SAR.…”
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Short-Term Passenger Flow Forecasting for Rail Transit considering Chaos Theory and Improved EMD-PSO-LSTM-Combined Optimization by Lixin Zhao, Hui Jin, Xintong Zou, Xiao Liu

“…Based on the chaos theory, each component of the PSO algorithm was improved by introducing an inertia factor to facilitate the adjustment of its search capability to improve optimization. …”
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Low-Redshift Observational Constraints on Dark Energy Cosmologies by Mohammad Malekjani

“…Applying the Markov chain Monte Carlo algorithm and using low-redshift observational data, we put cosmological constraints on dark energy cosmologies. …”
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