Research and application of optimization of physical education training model based on multi-objective differential evolutionary algorithm by Man Wu

“…The specific conclusions are as follows: (1) MODE algorithm is better to other algorithms in convergence speed and accuracy; MODE algorithm can not only reach the optimal particle position quickly, but also fluctuate around the best point.(2) AMODE-MPS has great potential for dealing with complex and multiple objectives.(3) There are significant differences between the prediction performance of the proposed algorithm model and the statistical performance, in which the statistical performance is significantly higher than the predicted performance.(4) The proposed model can basically meet the prediction requirements. …”
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Stolt Interpolation-Free Range Migration Algorithm for Dynamic-Aperture-Based Computational MIMO Microwave Imaging by Vasiliki Skouroliakou, Maria Garcia-Fernandez, Guillermo Alvarez-Narciandi, Simon Cotton, Okan Yurduseven

“…The benefits of the proposed algorithm in terms of execution time and storage requirements are also explored in this work.…”
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A design method of composite pixel-like antenna based on improved bald eagle search algorithm by WANG Yongqiang, LIU Bingqi, ZHU Bolin

“…This method not only retains the good convergence of the original algorithm, but also partially improves the global search ability. …”
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On the Strong Convergence of an Algorithm about Firmly Pseudo-Demicontractive Mappings for the Split Common Fixed-Point Problem by Yanrong Yu, Delei Sheng

“…Convex Anal.16), and inspired by Moudafi (2010 Inverse Problems 26), we modify the algorithm of demicontractive operators proposed by Moudafi and study the modified algorithm for the class of firmly pseudodemicontractive operators to solve the split common fixed-point problem in a Hilbert space. …”
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Analysis of diagnostic genes and molecular mechanisms of Crohn’s disease and colon cancer based on machine learning algorithms by Jie Xiao, Junyao Liang, Tao Zhou, Man Zhou, Dexu Zhang, Hui Feng, Chusen Tang, Qian Zhou, Weiqing Yang, Xiaoqin Tan, Wanjia Zhang, Yin Xu

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A novel algorithm for modeling gas–oil dynamic interfacial tension (IFT) and component exchange mechanisms by Ali Safaei, Masoud Riazi

“…The oil viscosity and molecular mass also decreased by an average of about 39% and 23%, respectively. …”
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Optimizing Battery Charging in Wireless Sensor Networks: Performance Assessment of MPPT Algorithms in Different Environmental Settings by Abdullah Fadhil Noor Shubbar, Serkan Savaş, Osman Güler

“…A Proportional-Integral (PI) controller was also used to manage the battery charging process, and environmental profiles were varied across simulation periods to assess algorithm robustness.Results: The PSO algorithm achieved superior performance across all metrics, demonstrating the fastest response time (0.1 s), lowest overshoot (14.8 V, 25 mA), and highest energy transfer efficiency. …”
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Predictive algorithms and criminal justice: expectations, challenges and a particular view of the Spanish VioGén system by Pilar Martín Ríos

“…Within this framework, we will also examine the emergence of the use of systems that, while employing algorithms, do not meet the criteria that allow them to be classified as AI. …”
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M-estimate like correlation based algorithm for direction of arrival estimation under alpha-stable environments by Jin-feng ZHANG, Tian-shuang QIU, Ai-min SONG, Hong TANG, Na WANG

“…A novel class of bounded statistics,namely,the M-estimate like correlation (MELC) for independently identi-cal distributed symmetric alpha-stable (SαS) random variables was defined.Based on the MELC matrix for the array sensor outputs,a new algorithm for direction of arrival (DOA) estimation in the presence of complex SαS noise was proposed.The comprehensive Monte-Carlo simulation results show that the MELC-MUSIC algorithm not only outper-forms the fractional lower order statistics (FLOS) based MUSIC algorithms under low SNR conditions and multi-source signals environment,but also is robust with circular and noncircular signals.…”
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A cooperative multi-agent reinforcement learning algorithm based on dynamic self-selection parameters sharing by Han WANG, Yang YU, Yuan JIANG

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The Analysis about Compressed Sensing Reconstruction Algorithm Based on Machine Learning Applied in Interference Multispectral Images by Chang Han

“…In order to make up for the shortcomings of traditional compression and reconstruction algorithms, the stacked convolution denoising autoencoder (SCDA) reconstruction algorithm for interference multispectral images is proposed in this paper. …”
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Forecasting Foreign Direct Investment Inflow to Egypt and Determinates: Using Machine Learning Algorithms and ARIMA Model by Mohamed F. Abd El-Aal, Ali Algarni, Aisha Fayomi, RAahayu Abdul Rahman, Khudir Alrashidi

“…This study aims to determine the primary determination of FDI inflow to Egypt using machine learning algorithms and the ARIMA model and get an accurate prediction of FDI inflow to Egypt during the current decade (2020–2030) and approved that the gradient boosting model is the most accurate algorithms. …”
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A Privacy-Masking Learning Algorithm for Online Distributed Optimization over Time-Varying Unbalanced Digraphs by Rong Hu, Binru Zhang

“…The proposed algorithm can not only protect the privacy of participants without compromising a trusted third party, but also be implemented on more general time-varying unbalanced digraphs. …”
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An Improved Predictor-Corrector Interior-Point Algorithm for Linear Complementarity Problems with √𝑂(𝑛𝐿)-Iteration Complexity by Debin Fang, Qian Yu

“…The modified corrector steps in our algorithm cannot only draw the iteration point back to a narrower neighborhood of the center path but also reduce the duality gap. …”
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Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination by Guo-sheng RUI, Jun MIAO, Yang ZHANG, Lin WANG

“…Aimed at poor tracking performance of NLMS filter and filter under time-varying channel,a same step-size convex combination of the maximum mean square deviation algorithm was presented.The algorithm convexly combined two different adaptive filters with the same step-size based on a criterion of maximum mean square deviation.So the proposed filter could keep good dynamic performance in the time-varying channel and stability of mean square characteristics in convergence stage.Theoretical analysis and simulation results show that in the sparse and non-sparse state the proposed algorithm indicates the fastest convergence rate compared with NLMS,PNLMS and IPNLMS algorithm.In the fuzzy state,the performance of proposed algorithm is superior to the above three.Additionally,the steady-state performance of mean square also keeps well.…”
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Iterative interference cancellation based on decoding algorithm of space-time block coding in frequency-selective fading by DONG Tao, YOU Xiao-hu

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RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm by Longjun Guo, Juan Wang, Jiaqi Teng, Yukun Chen

“…As the development of deep learning DL-based bone age prediction methods have achieved great success. However, it also faces the issue of huge computation overhead in deep features learning. …”
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Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA by S. V. Aswin Kumer, N. Prabakaran, E. Mohan, Balaji Natarajan, G. Sambasivam, Vaibhav Bhushan Tyagi

“…The hybrid optimization enables the proposed algorithm to provide efficient task scheduling by exploiting the strengths of entire algorithms. …”
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Environmental Evaluation via Waste Reduction Algorithm (WAR) of an Energy-Integrated Suspension PVC Production Process by Juan Manuel Diaz Perez, Antonio Mendivil-Arrieta, Angel D. Gonzalez-Delgado

“…An environmental assessment was carried out using the Waste Reduction Algorithm for a PVC production process with energy integration. …”
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A Three-Stage Optimization Algorithm for the Stochastic Parallel Machine Scheduling Problem with Adjustable Production Rates by Rui Zhang

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