Error concealment algorithm for entire frame loss based on optical flow estimation by CAO Ning, HU Jian-rong, MA Yin-song

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Study on an Improved Algorithm for Helical Gear Meshing Stiffness and Its Influencing Factors by Liu Ziqian, Sun Yu, Zhou Chaodong, Jiang Yanjun, Feng Nan, Zhao Linyan

“…Based on the potential energy method, an algorithm for modifying the meshing stiffness of helical gears is proposed. …”
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Retracted: Music Recommendation Algorithm Based on Multidimensional Time-Series Model Analysis by null Complexity

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Development of algorithms for effective control of process of testing induction motors by mutual load by V. V. Kharlamov, D. I. Popov

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A Pruning-Based Disk Scheduling Algorithm for Heterogeneous I/O Workloads by Taeseok Kim, Hyokyung Bahn, Youjip Won

“…In heterogeneous I/O workload environments, disk scheduling algorithms should support different QoS (Quality-of-Service) for each I/O request. …”
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A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy by Feng You, Yunbo Gong, Haiqing Tu, Jianzhong Liang, Haiwei Wang

“…Research studies on machine vision-based driver fatigue detection algorithm have improved traffic safety significantly. …”
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A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and Humidity by Hongbo Su, Jing Tian, Renhua Zhang, Shaohui Chen, Yongmin Yang, Yuan Rong, Sujuan Mi, Jianwei Qi

“…An algorithm was developed to expand the surface air temperature and air humidity to a larger spatial domain, based on the fact that the variation of surface air temperature and air humidity is controlled jointly by the local turbulence and the horizontal advection. …”
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A wavelet-based despiking algorithm for large data of structural health monitoring by Yun-Xia Xia, Yi-Qing Ni

“…To remove the spikes in it, the algorithm is highly desired to be both automatic and efficient. …”
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Improved SpaceTwist privacy protection method based on anchor optimization algorithm by Zhen-peng LIU, Xuan ZHAO, Ya-wei DONG, Bin ZHANG

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Path Planning of Manipulators Based on the Norm Adaptive Step-size RRT Algorithm by Liu Yafei, Liu Fang, Dong Rong, Wu Baoning, Nie Shaoqing

“…A norm adaptive step size rapidly-exploring random tree （RRT） algorithm suitable for manipulators was proposed to address the issues of fixed step size debugging time, poor collision detection performance, and low search efficiency of the traditional RRT algorithm in multidimensional environments. …”
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Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map by Xiaojun Chen

“…The algorithm is mainly based on the self-built English oral category classification dictionary and converts the user’s query vector into a user-English-speaking type vector. …”
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Compressed sensing subspace pursuit algorithm based on two stagewise weak selection by Bowei WANG, Jin TAN

“…Compressed sensing is a new way of signal sampling and data compression.The subspace pursuit algorithm has higher efficiency and precision in the compressed sensing reconstruction algorithms,but it needs the sparsity of the signal as a priori information.And if the sparsity estimation is not accurate enough,it will reduce the algorithm reconstruction effect.Aiming at this problem,a two stagewise weak selection-based subspace pursuit (TSWSP) algorithm was proposed,which didn’t need to know the sparsity of the signal in advance.The first weak selection adaptively selected the initial atom candidate set,and the second weak selection adaptively culled the wrong atoms that may had been previously selected from the current atom support set,and finally it selected a plurality of related atoms from the current atom candidate set to join the atom support set by the backtracking method.Simulation analysis shows that the proposed algorithm can reconstruct one-dimensional random signals and two-dimensional image signals accurately with unknown sparsity,and it has high stability,compared with OMP,SWOMP,BAOMP,SAMP and SP algorithm,the mean-square erroris reduced by 60.5% to 99.1%,the peak signal-to-noise ratio is improved by 2.1% to 34.3%.…”
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Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms by Reem A. Alzahrani, Malak Aljabri, Rami A. Mustafa Mohammad

“…The study underscores the prowess of tree-based methods and advanced algorithms in detecting click fraud, as evidenced by high accuracy, precision, and recall scores. …”
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Adaptive tensor train learning algorithm based on single-aspect streaming model by Baoze MA, Guojun LI, Long XING, Changrong YE

Subjects: “…adaptive learning algorithm…”
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Non‐Autoregressive Translation Algorithm Based on LLM Knowledge Distillation in English Corpus by Fang Ju, Weihui Wang

“…So this research introduces an English corpus‐based machine translation algorithm that leverages knowledge distillation from large language model, with the goal of enhancing translation quality and reducing the computational demands of the model. …”
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Research of the Path Planning of Mobile Robot based on Improved Ant Colony Algorithm by Yu Yong

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Local Media Image Propagation Algorithm and Its Governance in the Age of Artificial Intelligence by Ming Guo, Weichen Jia

“…By comparing different algorithms, it can be seen that the video recommendation accuracy of the BP neural network algorithm based on swarm optimization (FEBP) is 15.8% higher than that of the traditional BP neural network algorithm. …”
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Development of a multi-object tracking algorithm with untrained features of object matching by V.A. Gorbachev, V.F. Kalugin

“…We significantly outperform ByteTrack algorithm, one of the best tracking algorithms for the MOT Challenge dataset, on the Visdrone 2019 dataset.…”
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A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features by P. Amudha, S. Karthik, S. Sivakumari

“…The algorithms are combined together to find out better optimization results and the classification accuracies are obtained by 10-fold cross-validation method. …”
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Analysis of International Trade Competitiveness of Small Commodities Based on Numerical Simulation Algorithm by Chunyuan Sun, Qingbo Hu

“…In order to improve the analysis effect of the international trade competitiveness of small commodities, this study combines the digital simulation algorithm to analyze the competitiveness of international trade of small commodities and builds a competitiveness analysis model. …”
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