Multi-Task Perception Algorithm for Rail Transit Scenarios Based on Triplet Attention by GAO Rui, XIONG Yanping, WEI Chenfeng, XIE Guotao, GAO Ming

“…Finally, a triplet attention mechanism was incorporated to address the original YOLOP algorithm's deficiency of losing key information during feature extraction. …”
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Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms by Hien Nguyen, Samsul Huda, Yasuyuki Nogami, Tuy Tan Nguyen

“…Unlike traditional cryptographic algorithms, lattice-based schemes are expected to remain secure even in the presence of quantum attacks, making them essential for securing future data. …”
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Multi-camera association tracking algorithm for pedestrian target based on difference image by Shuai Ren

“…The current pedestrian target tracking algorithm (such as adjacent frame matching target tracking algorithm, deep learning YOLOv5 algorithm, etc.) ignores pedestrian foreground image segmentation, resulting in significant errors in pedestrian target tracking and insufficient tracking results. …”
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State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives by Hasan Mostafaei, Mahdi Ghamami

“…This review examines SSI-based algorithms, covering essential components such as system identification, noise mode elimination, stabilization diagram interpretation, and clustering techniques for mode identification. …”
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Adaptive Prediction of a Random Process Using a Sequential Regression Algorithm by Vladimir A. Golovkov

“…Subtracting the noise forecasted in the previous time point from its current value allows one to compensate for the noise.Aim. …”
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Computational intelligence to detect bearing faults using optimal features from motor current signals by G. Geetha, P. Geethanjali

“…The study aims to find the fewest and most reliable features in the dataset from Paderborn University so that a simple and accurate way can be found to diagnose faults using current signals. The selection of optimal features is initially performed using three algorithms: the equilibrium optimizer, the emperor penguin optimizer (EPO), and the butterfly optimization method. …”
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Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology by Maurizio Agelli, Nicola Corona, Fabio Maggio, Paolo Vincenzo Moi

“…This review evaluates the current state of ICT technology to determine if it supports autonomous, continuous crop monitoring. …”
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Enhanced Real-Time Simulation of ROV Attitude and Trajectory Under Ocean Current and Wake Disturbances by Yujing Zhao, Shipeng Xu, Xiaoben Zheng, Lisha Luo, Boyan Xu, Chunru Xiong

“…This study focuses on the remotely operated underwater vehicle (ROV) and addresses key issues in existing simulation systems, such as neglecting the influence of ocean currents on the ROV’s trajectory or only simulating the impact of ocean currents instead of combining wake flow and ocean currents. …”
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Exploring the Current Status of Risk Stratification in Hypertrophic Cardiomyopathy: From Risk Models to Promising Techniques by Alexandros Kasiakogias, Christos Kaskoutis, Christos-Konstantinos Antoniou, Stavros Georgopoulos, Dimitrios Tsiachris, Petros Arsenos, Alexandrina Kouroutzoglou, Dimitrios Klettas, Charalambos Vlachopoulos, Konstantinos Tsioufis, Konstantinos Gatzoulis

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Scene Matching Method for Children’s Psychological Distress Based on Deep Learning Algorithm by Junli Su

“…Based on the summary and analysis of previous research works, this paper expounded the research status and significance of the scene matching method for children’s psychological distress, elaborated the development background, current status, and future challenges of deep learning algorithm, introduced the methods and principles of depth spatiotemporal feature extraction algorithm and dynamic scene understanding algorithm, constructed a scene matching model for children’s psychological distress based on deep learning algorithm, analyzed the scene feature extraction and matching function construction of children’s psychological distress, proposed a scene matching method for children’s psychological distress based on deep learning algorithm, performed scene feature matching and information processing of children’s psychological distress, and finally conduced a simulation experiment and analyzed its results. …”
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Sequential Two-Mode Fusion Underwater Single-Photon Lidar Imaging Algorithm by Tian Rong, Yuhang Wang, Qiguang Zhu, Chenxu Wang, Yanchao Zhang, Jianfeng Li, Zhiquan Zhou, Qinghua Luo

“…Simulation and test results show that the imaging performance and imaging characteristics of the method are better than the current high-performance first-photon group imaging algorithm, indicating that the method has a great advantage in sparse photon counting imaging, and the method proposed in this paper constructs a clear depth and reflectance intensity image of the target scene, even in the 50,828 Lux ambient strong light and strong interference, the 0.1 Lux low-light environment, or the underwater high-attenuation environment.…”
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Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm by Jie Chang, Xiaojun Zuo, Botao Hou, Lipeng Shi, Guanghua Zhang

“…Finally, the characteristics of grey relational analysis and rough set theory attribute reduction are used to form the basis of grey correlation decision-level fusion algorithm, to achieve effective processing of the data of the Internet of Things security monitoring system.…”
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Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

“…This algorithm combines rule-based methods with machine learning, offering enhanced accuracy and lower computational costs compared to alternative approaches. …”
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Distributed Heuristic Algorithm for Migration and Replication of Self-organized Services in Future Networks by Manar AL-jabr, Ali Diab, Jomana AL-Diab

“…In this paper a heuristic-based algorithm for service placement in future networks was presented. …”
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Domain-Specific Languages for Algorithmic Graph Processing: A Systematic Literature Review by Houda Boukham, Kawtar Younsi Dahbi, Dalila Chiadmi

“…These DSLs fall into two categories: query-based DSLs for graph-pattern matching and graph algorithm DSLs. While graph query DSLs are now standardized, research on DSLs for algorithmic graph processing remains fragmented and lacks a cohesive framework. …”
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Application of adaptive artificial bee colony algorithm in environmental and economic dispatching management by Zhang Longyue, Zhang Haoyan

“…Under the Sphere function, the minimum average fitness values of the algorithm designed by the research, the ABC algorithm, and the current optimal ABC algorithm were 10−15, 10−4, and 10−11, respectively. …”
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Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment by Guiliang Zhou, Shuaiqi Lü, Lina Mao, Kaiwen Xu, Tianwen Bao, Xu Bao

“…On the other hand, we use chaotic mapping to initialize the population, integrate the prey generation strategy to enhance the prey generation formula and improve algorithm orientation and convergence speed. The test results are compared and analyzed with those of classical, current mainstream, and recently released swarm intelligence optimization algorithms. …”
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Optimization of Time-Varying Temperature Profiles for Enhanced Beer Fermentation by Evolutive Algorithms by Pablo Ruarte, Nadia Pantano, Marianela Noriega, Cecilia Fernández, Emanuel Serrano, Gustavo Scaglia

“…This method integrates Fourier series and orthogonal polynomials for control action parameterization, in combination with evolutionary algorithms for parameter optimization. A key advantage of this methodology lies in its ability to handle a reduced parameter set efficiently, resulting in temperature profiles that are continuous and differentiable. …”
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Intelligent Optimization Algorithms for Multi-UAV Path Planning: A Comprehensive Review by Lixiang Zhai, Husheng Wu, Linghong Lai, Ziqian Gao

“…This paper synthesizes existing reviews and scientific literature to establish a systematic framework for multi-UAV path planning. We analyze current research progress through four key dimensions: 1) battlefield environment modeling, 2) constraint formulations and objective functions, 3) intelligent optimization algorithms, and 4) collaborative path optimization. …”
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Deep learning based personalized English listening learning path recommendation algorithm by Hua Jiang

“…When compared to other current methods, the suggested algorithm performs under these features with predicted model accuracy, precision, and recall levels: vocabulary complexity accuracy of 97.32 %, proficiency level accuracy of 92.72 %, topic relevance accuracy of 91.62 %, speed reading accuracy of 95.34 %, and the highest CNN-PR accuracy of 97.32 % overall. …”
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