Indoor RFID localization algorithm based on adaptive bat algorithm by Liangbo XIE, Yuyang LI, Yong WANG, Mu ZHOU, Wei NIE

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Implementation of Grover’s Algorithm & Bernstein-Vazirani Algorithm with IBM Qiskit by Yang-Che Liu, Mei-Feng Liu

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Low complexity signal detection algorithm based on Newton iterative algorithm by Gang LIU, Zengjin LOU, Qinhua LIN, Yi GUO

“…In order to solve the problems of high computational complexity and slow convergence rate of ultra-massive MIMO detection in terahertz communication system, the low complexity signal detection algorithm based on Newton iterative algorithm was proposed.By improving the initial matrix and adding step factor in Newton iteration algorithm, the complexity of the algorithm was reduced, and the convergence speed was increased.By adding adjusting factors, the stability and reliability of the algorithm were guaranteed, and the applicability of the algorithm was also increased.Simulation results show that the proposed algorithm have lower computational complexity and faster convergence speed compared with traditional schemes.When the number of iterations is three, the detection performance is close to MMSE algorithm.…”
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Justice in Forensic Algorithms by Brandon L. Garrett

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Understanding the Yarowsky Algorithm by Steven Abney

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An improved CLTree algorithm by Zhuohang LI

“…An improved algorithm called CLTree-R was proposed.It could compensate the shortcoming of CLTree algorithm such as low accurate and inefficiency.Then CLTree-R was applied in clustering analysis for UCI data sets.In order to improve the efficiency，data set was parallel processed on Spark platform.Experimental results show that this algorithm can get reasonable customer classification when making cluster analysis on official data set.…”
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Retracted: K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm by Advances in Multimedia

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Otsu’s Image Segmentation Algorithm with Memory-Based Fruit Fly Optimization Algorithm by Ruishuai Chai

“…In this paper, the most common pepper noise in grayscale image noise is investigated in depth in the median filtering algorithm, and the improved median filtering algorithm, adaptive switching median filtering algorithm, and adaptive polar median filtering algorithm are applied to the OTSU algorithm. …”
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Maximizing Nash Social Welfare Based on Greedy Algorithm and Estimation of Distribution Algorithm by Weizhi Liao, Youzhen Jin, Zijia Wang, Xue Wang, Xiaoyun Xia

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Blind signal separation algorithm based on temporal predictability and differential search algorithm by Lei CHEN, Li-yi ZHANG, Yan-ju GUO, Yong HUANG, Jing-yi LIANG

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Target detection algorithm for basketball robot based on IBN-YOLOv5s algorithm by Yuan-hui Li, Hong-bo Yu

“…The experiment proves that the target detection algorithm designed in the study is effective and accurate, and can help the basketball robot successfully accomplish the target detection task. …”
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A Novel Hybrid Algorithm: Sine Cosine Harmony Search Algorithm for Global Optimization by Bahadur Alızada

Subjects: “…sine cosine algorithm.…”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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WSN clustering routing algorithm based on Cuckoo Search algorithm optimized K-means by Kailei ZHU, Aijing SUN

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Network Security Perception System Integrating Improved CNN Algorithm and Improved GRU Algorithm by Yu Huang, Ziyi Zhao, Canbin Shi

“…Additionally, the gated recurrent unit is improved using an adaptive boosting algorithm. A novel network security-aware model integrating both methods is constructed. …”
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Anthony Elliott, Algorithmic Intimacy – the Digital Revolution in Personal Relationship: From algorithms to enigma by Emilio Mordini

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A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm by Mireya Cabezas-Olivenza, Ekaitz Zulueta, Iker Azurmendi-Marquinez, Unai Fernandez-Gamiz, Danel Rico-Melgosa

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Optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm by Fu-you FAN, Guo-wu YANG, Qian-qi LE, Feng-mao LV, Chao ZHAO

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Enhancing Algorithmic Literacy: Experimental Study on Communication Students’ Awareness of Algorithm-Driven News by Jose Manuel Noguera-Vivo, María del Mar Grandío-Pérez

Subjects: “…algorithmic literacy…”
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Parallel association rules incremental mining algorithm based on information entropy and genetic algorithm by Yimin MAO, Qianhu DENG, Zhigang CHEN

“…Aiming at the problems that in the big data environment, the Can-tree based incremental association rule algorithm had problems such as too much space occupation of the tree structure, inability to dynamically set the support threshold, and too much time consumption during the data transfer process between the Map and Reduce stages, the Map Reduce-based parallel association rules incremental mining algorithm using information entropy and genetic algorithm (MR-PARIMIEG)was proposed.Firstly, a similar items merging based on information entropy (SIM-IE) was designed to merge similar data items, and a Can tree based on the merged data set was constructed, thereby reducing the space occupation of the tree structure.Secondly, the dynamic support threshold obtaining using genetic algorithm (DST-GA) was proposed to obtain the relatively optimal dynamic support threshold in the big data environment, and frequent itemset mining was performed according to this threshold to avoid the unnecessary time consumption caused by mining redundant frequent patterns.Finally, in the process of MapReduce parallel operation, the parallel LZO data compression algorithm was used to compress the output data of the Map stage, thereby reducing the size of the transmitted data, and finally improving the running speed of the algorithm.Experimental simulation results show that MR-PARIMIEG has better performance when mining frequent item sets in the big data environment, and it is suitable for parallel processing of larger data sets.…”
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