Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection by Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka

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Lightweight defect detection algorithm of tunnel lining based on knowledge distillation by Anfu Zhu, Jiaxiao Xie, Bin Wang, Heng Guo, Zilong Guo, Jie Wang, Lei Xu, SiXin Zhu, Zhanping Yang

“…Aiming at the problems of complex detection model, poor real-time performance and low accuracy of the current tunnel lining defect detection methods, the study proposes a lightweight defect detection algorithm of tunnel lining based on knowledge distillation. …”
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AdaLine: Adaptive Counting Line Optimization by Perspective-Aware Trajectory Modeling in Object-Detection-Tracking Systems by Wenhao Huang, Yin Chen, Jin Nakazawa, Tadashi Okoshi

“…To overcome these limitations, we propose AdaLine, an adaptive, perspective-aware algorithm that learns the optimal counting line from object trajectories, thereby enabling adaptation to diverse environments and camera viewpoints without manually defined counting lines. …”
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Comparative analysis of extensive form zero sum game algorithms for Poker like games by Behbod Keshavarzi, Hamidreza Navidi

“…This paper presents a comprehensive comparison of leading algorithms, using Poker-like games as benchmarks to assess their performance. …”
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Application of Improved Electromagnetism-like Mechanism Algorithm on Massive Remote Sensing Image Screening by Yingjie Fang, Kun Liu, Xun Zhang, Gang Lin, Huibing Wang, Lina Dong, Su Li

“…Compared with the greedy algorithm, the optimal solution of the improved algorithm is increased by about 9.78% on average. …”
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Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search by Amr Elshahed, Majid Khan Bin Majahar Ali, Ahmad Sufril Azlan Mohamed, Farah Aini Binti Abdullah, Ts. Lee Jian Aun

“…This paper introduces Incremental Line Search (ILS), a novel optimization strategy that incorporates Bresenham’s line algorithm to define a dynamically adjustable corridor between the start and goal points. …”
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Iterative Matrix Techniques Based on Averages by María A. Navascués

“…This article proposes an iterative method to find eigenvalues of matrices without a dominant eigenvalue. This algorithm is based on a procedure involving averages of the mapping and the independent variable. …”
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Grading Algorithm for Orah Sorting Line Based on Improved ShuffleNet V2 by Yifan Bu, Hao Liu, Hongda Li, Bryan Gilbert Murengami, Xingwang Wang, Xueyong Chen

“…This study proposes a grading algorithm for Orah sorting lines based on machine vision and deep learning. …”
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Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

“…In wireless sensor networks (WSNs), effective localization is crucial for applications like target tracking, environmental monitoring, and asset management. …”
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Underwater Line Monitoring Using Optimally Placed Inclinometers by Chungkuk Jin, Seong Hyeon Hong

“…Then, the behavior of any line location is assessed. In addition, to reduce the number of sensors and improve accuracy, optimal inclinometer locations are determined by a genetic algorithm. …”
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Design of intelligent detection method for electricity transmission line equipment defect based on data mining algorithm by Xiang Yin, Ya Zuo, Gaoshan Fu

“…From the perspective of replication rate, the overall average value of XGBoost algorithms was 52.38 % and the overall average value of data mining algorithms was 7.63 %. …”
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Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

“…Abstract Wireless Sensor Networks (WSNs) used in modern applications like environmental monitoring, smart cities, and healthcare systems depend on accurate sensor node localization. …”
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Robot welding trajectory optimization based on intersecting line welds by FAN Chenhui, LIU Huan, LIU Xuan, TANG Xiang

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Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms by Dongning WANG, Yueyang HUANG, Yuanbo SHI

“…Aiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the time of flight positioning algorithm, combined with the Chan⁃Taylor (C⁃T) cooperative positioning algorithm, and fused with the Unscented Kalman Filter (UKF) algorithm. …”
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Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms by Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi

“…Accordingly, in this study, a differential evolution algorithm (DEA) is hybridized with an electromagnetism-like algorithm (EMA) in the mutation stage to enhance the reliability and efficiency of the DEA. …”
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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method by Mohammad Saichu Nidom

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Comprehensive optimization of active and reactive power scheduling in smart microgrids by accounting for line transmission losses using genetic algorithm by F.Z. Zahraoui, H.E. Chakir, M. Et-taoussi, H Ouadi

“…The grid-connected SMG consists of photovoltaic (PV) cells, BSS, and residential loads. A Genetic Algorithm (GA)-based method is proposed to optimize power management in three scenarios: (i) active power only (AOM), (ii) active and reactive power without line losses (ARM), and (iii) active and reactive power considering line losses (ARLM). …”
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A tree crown edge-aware clipping algorithm for airborne LiDAR point clouds by Shangshu Cai, Yong Pang

“…., rectangular clipping), which tends to result in splitting tree crowns along the cutting lines. To preserve the completeness of tree crowns within predefined clipping boundaries (e.g., rectangles), we develop a tree crown edge-aware (E-A) point cloud clipping algorithm, named E-A algorithm. …”
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Identification method of canned food for production line sorting robot based on improved PSO-SVM by GAO Haiyan, GAO Jinyang, WANG Weicheng

“…<b>Objective:</b> To solve the problems of poor accuracy and low efficiency in target recognition methods for existing sorting robots in food production lines. <b>Methods:</b> On the basis of the analysis of the binocular vision food sorting system, a combination of improved particle swarm optimization algorithm and support vector machine was proposed for target recognition of food sorting robots. …”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by Lu Chen, Jie Tan, Tianci Wu, Zengxin Tan, Guobo Yuan, Yuhao Yang, Chiang Liu, Haoyu Zhou, Weisi Xie, Yue Xiu, Gun Li

“…This paper introduces an optimization method for multi-robot automated control welding based on a Particle Swarm Genetic Algorithm (PSGA), aiming to address issues such as high costs, large footprint, and excessive production cycles in multi-robot welding production lines. …”
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