Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources by Seokwoo Hyun, Geonho Kim, Jungsung Park, Yunhyuk Choi

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The Application of Genetic Algorithm in Seismic Performance Optimization of a Y-Eccentrically Braced Composite Frame by Wenxuan Zhang, Yongfei Zhao, Zhenhao Wu, Jizhi Zhao, Shuke Wang

“…The results indicated that, compared to the traditional enumeration algorithm, the proposed GA could find the optimal solution rapidly for the seismic performance optimization problems of the Y-EBCF. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…In response to these challenges, researchers are actively exploring various solutions, employing diverse approaches such as the development of different algorithms and the utilization of alternative hardware configurations. …”
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Fault Diagnosis Method of Wind Turbine Pitch Angle Based on PCA-KNN Fusion Algorithm by Xi CHEN, Luping LI, Rui LIU, Bo YANG, Zihao DENG, Zhonggui LI

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Fusing Algorithms for Intersection of Computer Science and Art: Innovations in Generative Art and Interactive Digital Installations by Jingpeng Xie, Miaomiao Yu, Guangliang Liu

“…The study also reveals that this combination improves user engagement and satisfaction, with interactive installations utilizing VAE + PSO achieving a satisfaction score of 9.0, compared to 7.0 for traditional methods. The findings highlight the transformative impact of these algorithms on art generation, showing that while computational resources and time are higher, the artistic and interactive benefits are substantial. …”
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MC-EVM: A Movement-Compensated EVM Algorithm with Face Detection for Remote Pulse Monitoring by Abdallah Benhamida, Miklos Kozlovszky

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Risk Factors for African Swine Fever in Wild Boar in Russia: Application of Regression for Classification Algorithms by Olga I. Zakharova, Elena A. Liskova

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A Frequency Domain Fitting Algorithm Method for Automotive Suspension Structure under Colored Noise by Xiangyu Lu, Huaihai Chen, Xudong He

“…So, this paper proposes a frequency domain fitting algorithm (FDFA) based on colored noise excitation. …”
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An investigation on energy-saving scheduling algorithm of wireless monitoring sensors in oil and gas pipeline networks by Zhifeng Ma, Zhanjun Hao, Zhenya Zhao

“…However, since sensor nodes typically rely on limited battery power, extending the network’s lifecycle and improving energy utilization efficiency have become focal points of research. Therefore, this paper proposes an energy-saving scheduling algorithm based on transformer networks, aimed at optimizing energy consumption and data transmission efficiency of wireless monitoring sensors in oil and gas pipelines. …”
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Hybridization of Machine Learning Algorithms and an Empirical Regression Model for Predicting Debris-Flow-Endangered Areas by Xiang Wang, Mi Tian, Qiang Qin, Jingwei Liang

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A Novel Azimuth Channel Errors Estimation Algorithm Based on Characteristic Clusters Statistical Treatment by Wensen Yang, Ran Tao, Hao Huan, Jing Feng, Longyong Chen, Yihao Xu, Junhua Yang

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Innovative approaches to beam forming antenna array systems with adaptive Partial Update NLMS algorithms by Zahraa A. Shubber, Thamer M. Jamel, Ali.K. Nahar

“…The key innovation and contribution of this research was to use Partial Update (PU) instead of full band adaptive algorithms, as no previous attempt had been made to do so. …”
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K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm by Ali Al-Hafiz, Adnan Jabir, Shamala Subramaniam

“…In the first phase, the best set of features is identified by the Genetic algorithm and is utilised by the K-means clustering algorithm to divide the dataset into groups with similar traits. …”
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

“…In addition, by comparing average cumulative reward curves for different learning rates and distribution ranges after preprocessing of different network inputs, the algorithm was further verified capable in improving convergence speeds and stability. …”
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Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network by Xinyue Du, Ke Cheng, Jin Zhang, Yuanyu Wang, Fan Yang, Wei Zhou, Yu Lin

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An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis by Omar Qasim, Israa Mohammed

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Multi-UAV Search and Rescue with Enhanced A∗ Algorithm Path Planning in 3D Environment by Yuwen Du

“…Compared with the traditional A∗ algorithm, the results demonstrate that the enhanced algorithm is effective in the scenario.…”
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Accuracy analysis on access hyper-point real-time detection algorithms in high-speed network by Haiqing YU, Wei DING, Jie XU

“…Real-time access hyper-point helps managers better control the network.Under high-speed network conditions,the difficulty in accessing hyper-point detection lies in the pressure exerted by large traffic on computing.Based on the 40 Gbit/s bandwidth network environment,from the perspective of accuracy analysis,the flow record statistics algorithm and the estimation-based superpoint detection algorithm were compared.The flow record statistical algorithm was improved by the threshold model based on heavy-tailed distribution.The estimation-based superpoint detection algorithm was implemented in the GPU environment by SRLA.The research results show that the estimation-based hyper-point detection algorithm which has obviously higher accuracy and more room for improvement is more suitable for real-time detection of hyper-point in high-speed network than the flow record statistical algorithm.…”
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RESEARCH OF FACTORS, WHICH MAY LEED TO ECONOMIC EMERGENCY APPEARANCE by O. O. Trush, D. A. Gorovyi, O. M. Goncharenko

“…This allows us to determine the economic causes of emergencies, unlike the existing ones, and more clearly outline the causal relationship between each manifestation of emergencies. In further research, the factors identified and the proposed scheme of economic growth will enable the development of appropriate algorithms to prevent or eliminate the negative effects of these events, to improve approaches to the assessment of economic indicators of the economic emergency. …”
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A New Approach to Selecting Optimal Parameters for the Sliding Mode Algorithm on an Automotive Suspension System by Tuan Anh Nguyen

“…According to the paper’s results, the vehicle body’s acceleration and displacement values are strongly reduced when using the SM algorithm, compared with cars with only traditional suspension. …”
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