A Multipopulation Coevolutionary Strategy for Multiobjective Immune Algorithm by Jiao Shi, Maoguo Gong, Wenping Ma, Licheng Jiao

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Performance Analysis of the MUSIC Algorithm in the Presence of Correlated Noise by Hyeong Woo Ham, Hyuk-In Kwon, Joon-Ho Lee

“…Passive direction finding has been studied over the past decades and theoretic performance prediction is a fundamental problem. The performance of the MUSIC algorithm for Direction-of-arrival (DOA) estimation under measurement uncertainty is analyzed. …”
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Intelligent Recommendation Algorithm Combining RNN and Knowledge Graph by Fengsheng Zeng, Qin Wang

“…At the same time, the algorithm’s rating prediction error values are small (less than 2%) in extracting different users’ ratings for different books. …”
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Research on Improving Camshift Algorithm about Target Tracking by QIN Yong, SHANG Meng-meng, ZHAO Xiao-hong, GAI Jian-xin

“…Finally, the accelerating object can be tracked accurately based on Camshift algorithm combined with Kalman filter prediction. It is shown with experimental data that the blocked or accelerating target can be accurately located by used the method proposed in this paper.…”
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Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at a UK university by Tianhua Chen

“…Abstract The mental health of students in higher education has been a growing concern, with increasing evidence pointing to heightened risks of developing mental health condition. …”
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An Efficient Recommendation Algorithm Based on Heterogeneous Information Network by Ying Yin, Wanning Zheng

“…At present, a large number of recommendation algorithms based on heterogeneous information networks have been proposed. …”
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Algorithmic Trading and Sentiment Analysis in Indian Stock Market by Patil Smita Satish, Kubsad Pramod, Kulkarni Savitha

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Information entropy based match field cutting algorithm by Peng-hao SUN, Ju-long LAN, Shao-jun ZHANG, Jun-fei LI

“…With the increasing diversity of network functions,packet classification had a higher demand on the number of match fields and depth of match table,which placed a severe burden on the storage capacity of hardware.To ensure the efficiency of matching process while at the same time improve the usage of storage devices,an information entropy based cutting algorithm on match fields was proposed.By the analysis on the redundancy of match fields and distribution pattern in a rule set,a match field cutting model was proposed.With the mapping of matching process to the process of entropy reduction,the complexity of optimal match field cutting was reduced from NP-hard to linear complexity.Experiment results show that compared to existing schemes,this scheme can need 40% less TCAM storage space,and on the other side,with the growing of table size,the time complexity of this algorithm is also far less than other algorithms.…”
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A Novel Tornado Detection Algorithm Based on XGBoost by Qiangyu Zeng, Guoxiu Zhang, Shangdan Huang, Wenwen Song, Jianxin He, Hao Wang, Yin Liu

“…Dual-polarization updating has significantly improved tornado prediction and forecasting abilities. This article proposes an innovative tornado detection algorithm based on XGBoost which is suitable for dual-polarization radar data, was upgraded and has been used in China since 2019, and has been applied in the Tornado Key Open Laboratory of the China Meteorological Administration. …”
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EULER AND EXPONENTIAL ALGORITHM IN VISCOELASTIC ANALYSES OF LAMINATED GLASS by Jaroslav Schmidt, Alena Zemanová

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A weighted and distributed algorithm for multi-hop localization by Juan Cota-Ruiz, Rafael Gonzalez-Landaeta, Jose David Diaz-Roman, Boris Mederos-Madrazo, Ernesto Sifuentes

“…Also, under rough initial position estimates, the proposed algorithm achieves root mean square error values less than the radio range of unknown sensors, in average, with only a few iterations.…”
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A Stochastic Learning Algorithm for Machine Fault Diagnosis by Zhipeng Dong, Yucheng Liu, Jianshe Kang, Shaohui Zhang

“…To solve this problem, a new method, named stochastic learning algorithm (SL), is proposed in this paper for dimension reduction. …”
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Multi-Level Particle System Modeling Algorithm with WRF by Julong Chen, Bin Wang, Rundong Gan, Xuepeng Mou, Shiping Yang, Ling Tan

“…Our algorithm can fully demonstrate cloud characteristics and interlayer differences, significantly improve modeling efficiency, and can be used for accurate modeling of large-scale cloud scenes, providing strong support for meteorological and climate prediction.…”
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Integrated PTS fire evacuation path planning algorithm by Zhijun Gao, Meng Zhang, Xin Wang, Hongyan Zhang, Chengcheng Zhang

“…To address these issues, this study proposes a novel hybrid fire evacuation path-planning algorithm that integrates the Pathfinder Algorithm (PFA) with the Tunicate Swarm Algorithm (TSA). …”
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Research on the Raft improved algorithm for anti-Byzantine nodes by WANG Xiaowei, LI Jie

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Kernel Local Linear Discriminate Method for Dimensionality Reduction and Its Application in Machinery Fault Diagnosis by Kunju Shi, Shulin Liu, Hongli Zhang, Bo Wang

“…Dimensionality reduction is a crucial task in machinery fault diagnosis. …”
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Assessing Algorithmic Thinking Skills in Relation to Gender in Early Childhood by Kalliopi Kanaki, Michail Kalogiannakis

“…Background/purpose – In terms of computational thinking core facets, algorithmic thinking is a key competency applicable not only in Computer Science but also in aspects of daily life. …”
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Improved Visual SLAM Algorithm Based on Dynamic Scenes by Jinxing Niu, Ziqi Chen, Tao Zhang, Shiyu Zheng

“…We performed experiments based on the public datasets to validate the feasibility of the proposed algorithm. The experimental results indicate that the improved SLAM algorithm, which boasts a reduction in absolute trajectory error (ATE) by approximately 97% compared to traditional static visual SLAM and about 20% compared to traditional dynamic visual SLAM, also exhibited a 68% decrease in computation time compared to well-known dynamic visual SLAM, thereby possessing absolute advantages in both positioning accuracy and operational efficiency.…”
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ALGORITHM FOR MANAGEMENT OF HYPERTENSIVE PATIENTS UNDERWENT UROLOGY INTERVENTIONS by S. S. Davydova

“…The elaborated management algorithm for patients with concomitant hypertension is recommended to reduce the cardiovascular complications in the early postoperative period.…”
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Quantitative evaluation of metal artifact reduction in CBCT under varying exposure modes and rod orientations by Gyu-Dong Jo, Chul-Wan Park, Kug Jin Jeon, Sang-Sun Han

“…Abstract This study aimed to quantitatively evaluate the efficacy of a metal artifact reduction (MAR) algorithm in cone-beam computed tomography (CBCT) under varying exposure modes and metal rod orientations using a standardized evaluation method. …”
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