Consensus-Based Power System State Estimation Algorithm Under Collaborative Attack by Zhijian Cheng, Guanjun Chen, Xiao-Meng Li, Hongru Ren

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Distributed robust composite-rotating consensus of second-order multi-agent systems by Weizheng Huang, Wenfeng Zheng, Lipo Mo

“…First, based on local state feedback and communication feedback, a distributed control algorithm is proposed. Then, sufficient conditions are derived in order to make all agents reach a composite-rotating consensus with the desired H ∞ performance. …”
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Automated Processing of Mechanical Test Data for Various Composite Materials Using MATLAB by Vasile BRIA, Marius BODOR

“…The present work addresses this issue by proposing an algorithm written using MATLAB software and applying it in processing data from mechanical testing of selected composite materials with various compositions and behaviours.…”
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A Double-Threshold Based Spectrum Allocation Algorithm in Cognitive Radio System by Jiongtao Wang, Ming Jin, Youming Li, Jingjing Zheng

“…Based on the spectrum allocation of Underlay model in cognitive radio systems,a double-threshold based spectrum allocation algorithm was proposed.Two signal-to-noise radio（SNR）thresholds were also given.If SNR is less than the small threshold,aiming to maximize the channel capacity of the primary users,some second users are chosen to cooperate with primary users to communicate data.If SNR is larger than the big threshold,considering to maximize the number of the second users accessing the spectrum,some second users are allowed to use the occupied spectrum with low power.If SNR is between the two thresholds,primary users occupy the spectrum alone.Simulation and numerical results illustrate the reliability of the theoretical analysis.…”
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A Fast Algorithm for Determining the Optimal Navigation Star for Responsive Launch Vehicles by Yi Zhao, Hongbo Zhang, Pengfei Li, Guojian Tang

“…The simulation results demonstrate that the proposed algorithm can determine the optimal navigation star quickly, which greatly shorten the preparation time before the rapid launch of vehicles and improve the composite guidance accuracy.…”
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Efficient Fault-Tolerant Event Query Algorithm in Distributed Wireless Sensor Networks by Rongbo Zhu

“…An imprecise and missing data correction algorithm based on Kalman filter is proposed to correct fault sensing data, and a score rank algorithm also is proposed to assign each sensor an appropriate value to reflect the importance of sensors. …”
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Digital silence: how algorithmic censorship undermines academic freedom in the Global South by Jeena Joseph, Jobi Babu, F. Vincent Rajasekar, Sheena Rajan Philip, Renny Thomas, Rejina P. V.

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Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm by M. Gorji-Bandpy, A. Mozaffari

“…A new method called mutable smart bee (MSB) algorithm proposed for cooperative optimizing of the maximum power output (MPO) and minimum entropy generation (MEG) of an Atkinson cycle as a multiobjective, multi-modal mechanical problem. …”
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Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition by Shan GAI

“…New feature extraction algorithm was proposed based on quaternion common spatial pattern in order to solve the lack of effective description of phase information in the banknote feature extraction and analysis. …”
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Research on Fractional-Order Control of Anchor Drilling Machine Optimized by Intelligent Algorithms by Jingkai Li, Jun Zhang, Jiaquan Xie, Wei Shi, Jianzhong Zhao

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Distributed Resilient Clustering Algorithm for Virtual Power Plants Under Cyber Attacks by Jia Wu, Yifan Sun, Jinyue Qian, Yin Cui, Qian Wang, Li Zhuo

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Reinforcement Learning-Based Collision Avoidance Guidance Algorithm for Fixed-Wing UAVs by Yu Zhao, Jifeng Guo, Chengchao Bai, Hongxing Zheng

“…A deep reinforcement learning-based computational guidance method is presented, which is used to identify and resolve the problem of collision avoidance for a variable number of fixed-wing UAVs in limited airspace. The cooperative guidance process is first analyzed for multiple aircraft by formulating flight scenarios using multiagent Markov game theory and solving it by machine learning algorithm. …”
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Evaluation of the Performance of Unsupervised Learning Algorithms for Intrusion Detection in Unbalanced Data Environments by Gutierrez-Portela Fernando, Almenares Mendoza Florina, Calderon-Benavides Liliana

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A parallel algorithm for network traffic anomaly detection based on Isolation Forest by Xiaoling Tao, Yang Peng, Feng Zhao, Peichao Zhao, Yong Wang

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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization by Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev

“…Abstract Gray Wolf Optimization (GWO), inspired by the social hierarchy and cooperative hunting behavior of gray wolves, is a widely used metaheuristic algorithm for solving complex optimization problems in various domains, including engineering design, image processing, and machine learning. …”
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Algorithms as facts and fabrications: ethnographic stories of factishes from the Costa Rican Caribbean by Ignacio Siles, Edgar Gómez-Cruz, Rodrigo Muñoz-González

“…We argue that algorithms enable individuals to navigate composite realities and assume multiple positions within them rather than merely conflating truth and fiction or strictly separating them.…”
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Design of Encoding Algorithm for Underwater Wireless Optical Communication Based on Spinal Code by Xiaoyang Yu, Min Yu, Yun Zhou, Tianwei Chen

“…This paper presents the Superposition UEP-Spinal Code structure, which utilizes unequal error protection (UEP) to adjust the transmission performance of different types of information in underwater composite data communication by adjusting the superposition weighting factors in the encoding algorithm. …”
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Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots by Haokai Lv, Qian Qian, Jiawen Pan, Miao Song, Yong Feng, Yingna Li

“…To address these limitations, this study proposes the Multi-Strategy Controlled Rime Algorithm (MSRIME), whose innovation primarily manifests in three aspects: first, it constructs a multi-strategy collaborative optimization framework, utilizing an infinite folding Fuch chaotic map for intelligent population initialization to significantly enhance the diversity of solutions; second, it designs a cooperative mechanism between a controlled elite strategy and an adaptive search strategy that, through a dynamic control factor, autonomously adjusts the strategy activation probability and adaptation rate, expanding the search space while ensuring algorithmic convergence efficiency; and finally, it introduces a cosine annealing strategy to improve the step size adjustment mechanism, reducing parameter sensitivity and effectively preventing path distortions caused by abrupt step size changes. …”
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A Two-Step Projected Iterative Algorithm for Tropospheric Water Vapor Tomography by Shangyi Liu, Kefei Zhang, Suqin Wu, Wenyuan Zhang, Longjiang Li, Moufeng Wan, Jiaqi Shi, Minghao Zhang, Andong Hu

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Quantitative benchmarking of nuclear segmentation algorithms in multiplexed immunofluorescence imaging for translational studies by Abishek Sankaranarayanan, Georgii Khachaturov, Kimberly S. Smythe, Shachi Mittal

“…Pre-trained deep learning models outperform classical nuclear segmentation algorithms. Overall, Mesmer is recommended as it exhibits the highest nuclear segmentation accuracy with 0.67 F1-score at an IoU threshold of 0.5 on our composite dataset. …”
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