Implementation of a Second-Order TVD Transport Algorithm in the General Ocean Model (GOM) by Jungwoo Lee, Jun Lee, Sang-Leen Yun, Seog-Ku Kim

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Novel time delay estimation algorithm for ADS-B based on an auxiliary source and correntropy by Sheng-yang LUAN, Tian-shuang QIU, Ai-min SONG, Jing-chun LI, Hai-feng TAN

“…A novel time delay estimation algorithm was proposed to correct ADS-B latency employing an auxiliary signal source and correntropy.Firstly,the cause of message delay was analyzed and a new latency model was raised.Secondly,when comparing the signal similarity,the correntropy was introduced to estimate the delay using Doppler shift from signals of the auxiliary source as the research object.Thirdly,the influnce of step length and Gaussian kernel length on evaluating the time delay was researched.Finally,simulations were carried out to verify the performance of the proposed algorithm in the impulsive noise environment.The new algorithm needs no change in message format and it is more practical and accurate compared with existing methods.…”
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Novel time delay estimation algorithm for ADS-B based on an auxiliary source and correntropy by Sheng-yang LUAN, Tian-shuang QIU, Ai-min SONG, Jing-chun LI, Hai-feng TAN

“…A novel time delay estimation algorithm was proposed to correct ADS-B latency employing an auxiliary signal source and correntropy.Firstly,the cause of message delay was analyzed and a new latency model was raised.Secondly,when comparing the signal similarity,the correntropy was introduced to estimate the delay using Doppler shift from signals of the auxiliary source as the research object.Thirdly,the influnce of step length and Gaussian kernel length on evaluating the time delay was researched.Finally,simulations were carried out to verify the performance of the proposed algorithm in the impulsive noise environment.The new algorithm needs no change in message format and it is more practical and accurate compared with existing methods.…”
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A new multi objective crested porcupines optimization algorithm for solving optimization problems by Divya Adalja, Pinank Patel, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Mohammad Khishe

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A detection algorithm for small surface floating objects based on improved YOLOv5s by Xusheng YUE, Jun LI, Yaohong WANG, Penghao ZHU, Zhexing WANG, Xuanhao XU

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A Multimetric Ant Colony Optimization Algorithm for Dynamic Path Planning in Vehicular Networks by Zhen Wang, Jianqing Li, Manlin Fang, Yang Li

“…At the same time it could effectively avoid local optimum compared with the traditional algorithms.…”
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A density clustering-based network performance failure big data analysis algorithm by Xiang LI, Yuan LI, Zifei ZHANG, Zhe YANG

“…Facing frequent network security incidents,how to quickly find abnormal data in massive monitoring database and carry out network failure analysis becomes a research difficulty.A density-based network performance failure big data analysis algorithm was proposed,which extracted key performance characteristic indicators through entropy weight analysis,implemented data shaping through data cleaning and standardization,and extracted abnormal performance data on the basis of DBSCAN clustering algorithm.Relying on the real-time massive backbone network link performance data of multiple domestic operators to validated this algorithm,the results shows that compared with the manually manner,the recognition accuracy of the algorithm proposed to the network performance abnormal data is more than 90%,which can well fit for the analysis of real-time Internet network operation failure.…”
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Quadrotor Robust Fractional-Order Control Based on a Recent Bonobo Optimization Algorithm by Faycal Ziani, Aissa Benhammou, Mohamed Amine Hartani, Hegazy Rezk

“…The five fractional parameters for each engine are also improved using the Bonobo Optimization (BO) algorithm. The optimized results in this paper are compared with the algorithms used, such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO). …”
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Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm by Haihong FAN

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Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise by Sanjay Ghosh, Sanjay Ghosh, Chang Cai, Ali Hashemi, Yijing Gao, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan

“…Our algorithm achieves superior performance as compared to several existing benchmark algorithms.DiscussionA key aspect of our algorithm is that we do not require any additional baseline measurements to estimate the noise covariance from the sensor data under scenarios such as resting state analysis, and other use cases wherein a noise or artifactual source occurs only in the active period but not in the baseline period (e.g., neuro-modulatory stimulation artifacts and speech movements).…”
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A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters by Khoo David Wee Yang, Ng Zhi Qun, Seah Leong Keey

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Diagnostic algorithms in patients with chronic coronary syndromes — what does clinical practice show? by A. N. Sumin

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Pregnancy probability prediction models based on 5 machine learning algorithms and comparison of their performance by REN Chao, REN Chao, YANG Huan, ZHOU Niya, ZHOU Niya

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Assigning Metaheuristics to a Logistics Problem: A Novel Classification System for Algorithms and Problems by Tamara J. Bíró, Adrián Horváth

“…The majority of metaheuristic research is characterized by developing a new algorithm for a task or modifying or improving an existing technique. …”
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PDCSA: A parallel discrete crow search algorithm for influence maximization in social networks. by Lihong Han, Kan Yang, Yang Ming, Jianxin Tang

“…In the field of influence maximization research, the investigation of seed nodes identifying algorithms is a hot yet challenging work. …”
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A Correlation-Based Feature Selection Algorithm for Operating Data of Nuclear Power Plants by Yuxuan He, Hongxing Yu, Ren Yu, Jian Song, Haibo Lian, Jiangyang He, Jiangtao Yuan

“…The proposed algorithm is verified by experiments and compared with traditional correlation-based feature selection algorithms. …”
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Image Reconstruction Algorithm Based on Spectral Projected Gradient Pursuit for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, CHEN Feng

“…Simulation experiment of typical flow pattern is carried out by the algorithm，and compared with the traditional LBP algorithm. …”
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A Hybrid Enhancement Artificial Bee Colony Algorithm for High-efficiency Service Selection by ZHANG Hong-guo, CHEN Yang, MA Chao, FANG Zhou, HUANG Hai

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Comparison of Machine Learning Algorithms for Daily Runoff Forecasting with Global Rainfall Products in Algeria by Rayane Bounab, Hamouda Boutaghane, Tayeb Boulmaiz, Yves Tramblay

“…In Algeria, to identify a relevant modeling approach using this new source of rainfall information, the present research aims to (i) compare a conceptual model (GR4J) and seven machine learning algorithms (FFNN, ELM, LSTM, LSTM2, GRU, SVM, and GPR) and (ii) compare different types of precipitation inputs, including four satellite products (CHIRPS, SM2RAIN, GPM, and PERSIANN), one reanalysis product (ERA5), and observed precipitation, to assess which combination of models and precipitation data provides the optimal performance for river discharge simulation. …”
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Comparison of Single Exponential Smoothing and Double Moving Average Algorithms to Forecast Beef Production by Tundo, Rachmat Hidayat Insani, Rasiban, Untung Suropati

“…One way to predict beef production in Jakarta is using the Single Exponential Smoothing and Double Moving Average methods. The two algorithms are compared to get the lowest error rate. …”
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