Analysis of solving methods and complexity of algorithmics problems in Lithuanian and Baltic Olympiads by Valentina Dagienė, Jūratė Skūpienė

“…The paper deals with algorithmic problems of all the Lithuanian olympiads of school students and all the rounds from the point of view of their  methods of solution and complexity (from the student’s point of view). …”
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An Improved Strong Tracking Kalman Filter Algorithm for the Initial Alignment of the Shearer by Yuming Chen, Wei Li, Gaifang Xin, Hai Yang, Ting Xia

“…To overcome the performance degradation of the existing initial alignment algorithm under complex underground environment, a novel adaptive filtering algorithm is proposed by the integration of the strong tracking Kalman filter and the sequential filter for the initial alignment of the shearer with complex underground environment. …”
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Exercise Behavior Prediction and Injury Assessment Based on Swarm Intelligence Algorithm by Ding Ding, Jianqiong Jiang, Changya Liu

“…IPSGWO algorithm is based on the GWO algorithm, with appropriate strategies and ideas, to maximize the improvement. …”
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Guided evolutionary game algorithm of unstructured P2P network by Guohui ZHU, Chunlan LU, Rui ZHANG

“…In order to promote the cooperation among the nodes which exist in dynamic and open peer-to-peer network,G-SLACER algorithm was provided by introducing pacesetter nodes.30% of network nodes were initialized to pacesetter nodes.In the process of topology reconstruction,a guided link to the most advantage node was added.To encourage studies between nodes,the payoff of the whole network was increased.The experimental results show that the G-SLACER algorithm has good generality for different sizes of networks,and it enhances the stability of CCP.Compared with other evolutionary game algorithms,cooperation state of P2P network formed by G-SLACER algorithm appears earlier and more stable.…”
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Distributed beamforming algorithm based on game theory in device-to-device communications by Xian-zhong Xie, Chuan-wen Li, Shuang-guo Cheng, He-lin Yang, Shu Tang

“…Finally, the simulation results show that the proposed algorithm has better performance in terms of system sum rate and fairness than the existing algorithms.…”
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Optimal Location of Plate Damped Parts by Use of a Genetic Algorithm by J.-L. Marcelin, Ph. Trompette

“…The discrete design variable optimization problem is solved using a genetic algorithm.…”
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Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm by Ruiqiang Guo, Peiyong Ji, Yapin Zhang, Jingqi Hu, Wenlong Liu, Xuejian Li, Min Li

“…In this paper, we address challenges in steel surface defect inspection, such as missed detections and false detections, by proposing the GCHS-YOLO detection algorithm. Built on YOLOv8s, our approach replaces the traditional Feature Pyramid Network (FPN) in the NECK section with a multi-scale fusion network (GFPN). …”
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Solving the maximum cut problem using Harris Hawk Optimization algorithm. by Md Rafiqul Islam, Md Shahidul Islam, Pritam Khan Boni, Aldrin Saurov Sarker, Md Asif Anam

“…The proposed system provided comparatively better outcomes on the G-set dataset than other state-of-the-art algorithms. It obtained 533 cuts more than the discrete cuckoo search algorithm in 9 instances, 1036 cuts more than PSO-EDA in 14 instances, and 1021 cuts more than TSHEA in 9 instances. …”
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Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms by Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang

“…Unsupervised learning algorithms can effectively solve sample imbalance. To address battery consistency anomalies in new energy vehicles, we adopt a variety of unsupervised learning algorithms to evaluate and predict the battery consistency of three vehicles using charging fragment data from actual operating conditions. …”
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MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST by Phan Thành Huấn, Lê Hoài Bắc

“…Finally, we presented experimental results on both synthetic and real-life datasets, which showed that the proposed algorithm performed better than the existing algorithms.…”
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A Novel Hybrid Improved RIME Algorithm for Global Optimization Problems by Wuke Li, Xiong Yang, Yuchen Yin, Qian Wang

“…The RIME algorithm is a novel physical-based meta-heuristic algorithm with a strong ability to solve global optimization problems and address challenges in engineering applications. …”
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Liveness-Based RRT Algorithm for Autonomous Underwater Vehicles Motion Planning by Yang Li, Fubin Zhang, Demin Xu, Jiguo Dai

“…To verify the efficiency of our algorithm, numerical experiments are carried out in this paper.…”
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Rotor blades blockage modulation suppression algorithm for helicopter‐borne SAR by Wei Gao, Xiaoming Li, Zheng Liu, Ziqiang Meng, Xiaodong Han, Lei Ran

“…Both simulated and real‐measured data are processed to demonstrate the effectiveness of the proposed algorithm.…”
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Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU by Jinwei Wang, Xirong Ma, Yuanping Zhu, Jizhou Sun

“…In this paper, we propose an efficient parallel implementation of the AAM fitting algorithm on GPUs. Our design idea is fine grain parallelism in which we distribute the texture data of the AAM, in pixels, to thousands of parallel GPU threads for processing, which makes the algorithm fit better into the GPU architecture. …”
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Indoor dynamic environment lo calization algorithm based on transfer learning by Can LIU, Junna SHANG, Ruijiang LI, Keqiang YUE

“…The accuracy of the traditional indoor fingerprint lo calization system is limited bymany factors,such as the density of the reference location node in the fingerprint database and the characteristics of the indoor environment.When the indoor environment changes dynami cally,the RSS fluctuates,and usually does notmeet the assumption of the same distribution.Therefore,it was difficult to obtain high-precision requirements for conventional fingerprint positioningmethod.Aiming at the problem that the traditional algorithm couldn’t locate accurately,an algorithm based on the indoor fingerprint database was designed and implemented.The algorithm adopted the idea ofmigration learning to embed different data sets into the latent feature space,and the adverse effects of environmental changes on the system weremitigated.The simulation results show that the average positioning error of this algorithm is 1.23m.…”
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Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision Tree by Yuntao Wei, Xiaojuan Wang, Meishan Li

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Maximizing Electric Power Recovery through Advanced Compensation with MPPT Algorithms by Souad Touairi, Mustapha Zekraoui, Mustapha Mabrouki

“…This innovative approach seamlessly integrates the MPPT algorithm into the piezo harvester circuit. Moreover, the vehicle’s road handling is significantly augmented through the incorporation of a robust steering front and an active differential control system. …”
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Restricted Boltzmann Machine-Assisted Estimation of Distribution Algorithm for Complex Problems by Lin Bao, Xiaoyan Sun, Yang Chen, Guangyi Man, Hui Shao

“…A novel algorithm, called restricted Boltzmann machine-assisted estimation of distribution algorithm, is proposed for solving computationally expensive optimization problems with discrete variables. …”
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Enhancing the Efficiency of Routing Strategies in WSNs Using Live Streaming Algorithms by Hayder Jasim Alhamdane, Mohsen Nickray

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A New Iterative Algorithm for General Variational Inequality Problem with Applications by Aysha Khan, M. Akram, M. Dilshad, J. Shafi

“…Further, we demonstrate that the considered iterative algorithm converges with faster rate than normal S-iterative scheme. …”
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