A two-step multiaxial racetrack filter algorithm for non-proportional load histories by Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu

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Dynamic Emergency Vehicle Path Planning and Traffic Evacuation Based on Salp Swarm Algorithm by X. H. Duan, J. X. Wu, Y. L. Xiong

“…In view of the rescue delay due to traffic congestion in the urban road network, this paper implemented real-time traffic control with congestion index constraints in emergency vehicle dispatching and proposed a two-stage optimization model and algorithm. In the first stage, salp swarm algorithm (SSA) was combined with Dijkstra algorithm, and a novel hybrid algorithm with new updating rules was designed to get the multiple alternative paths. …”
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Recognition algorithm of piano playing music notes based on improved hidden Markov model by Ziwei Wang

“…The proposed method optimizes HMM and combines GA-RBF neural network to significantly reduce computational complexity while ensuring accuracy, thereby achieving fast and accurate piano playing music note recognition.…”
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Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks by Tao Wang, Lianglun Cheng, Ke Zhang, Jun Liu

“…With both the energy-aware metrics: energy-aware load-balancing factor and overall energy consumption, we formulate the process of energy-aware sensor service composition into a combinatorial optimization problem; furthermore, an improved discrete particle swarm optimization (IDPSO) algorithm with inertia weights adjustment and extreme perturbation scheme is proposed to solve the combinatorial optimization problem. …”
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Direction-assisted enhanced black-winged kite algorithm for mobile robot path planning by Honglin Wan, Qilin Wu, Zhaochun Peng, Zheng Lu

“…To overcome this limitation, this paper proposes a Direction-Assisted Enhanced Black-winged Kite Algorithm (DAEBKA) that enables non-sequential path transitions through synergistic integration of optimization and directional heuristics. …”
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Optimization of Transformation Coefficients Using Direct Search and Swarm Intelligence by Manusov V.Z., Matrenin P.V., Orlov D.V.

“…Now, methods based on heuristic rules and fuzzy logic, or methods that optimize parts of the whole system separately, are applied to this problem. …”
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Insights into Optimal Schemes of Radial Network Arch Pedestrian Bridge by Rimantas Belevičius, Dainius Rusakevičius, Saulius Valentinavičius

“…This task is solved by formulating the global optimization problem and seeking the minimum mass of the whole bridge structure. …”
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A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

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Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies by Reva Nur Rahmadiana, Dinda Lestarini

“…Clustering was conducted using RapidMiner, and performance was evaluated using the Davies-Bouldin Index to determine the optimal number of clusters (K). The results indicate that the optimal number of clusters is K = 4. …”
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Dynamic Node Management for Energy Optimization in Cognitive Radio Systems by Tangsen Huang, Haibing Yin, Xiangdong Yin, Huijun Xiao

“…The optimal number of cooperative nodes is determined through a greedy algorithm, formulated as a constrained optimization problem. …”
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An improved sliding mode observer algorithm for PMSM based on deformable fuzzy neural network by Xiaolin Li, Na Liu, Juan Song, Yiyan Zhang

“…The findings suggest that the proposed algorithm enhances the accuracy of speed estimation and rotor position while optimizing the speed control performance of vector control system.…”
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Metrics and Algorithms for Identifying and Mitigating Bias in AI Design: A Counterfactual Fairness Approach by Dongsoo Moon, Seongjin Ahn

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Sentiment Analysis of X Users Toward Electric Motorcycles Using SVM and BERT Algorithms by Calvin Adiwinata, Afiyati Afiyati

“…The objective was to evaluate algorithm performance in classifying public sentiment, with metrics including accuracy, precision, recall, and computational efficiency. …”
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An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees by Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez

“…This study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve optimal classification accuracy. …”
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Multi-Strategy Fusion Path Planning Algorithm for Autonomous Surface Vessels with Dynamic Obstacles by Yongshun Xie, Chengyong Liu, Yixiong He, Yong Ma, Kang Liu

“…Through a comprehensive analysis of its control output, the proposed integrated algorithm accomplishes efficient obstacle avoidance via agile control of angular velocity while preserving navigational stability and achieves path optimization through consistent acceleration adjustments, thereby asserting its superiority and practical worth in challenging maritime environments.…”
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Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head by Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

“…Finally, the bounding box loss function is optimized as Inner-ShapeIoU, focusing on shape and scale of the bounding box to improve the accuracy for bounding box regression calculation while utilizing auxiliary bounding boxes to expedite convergence speed. …”
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Research on E-Commerce Inventory Sales Forecasting Model Based on ARIMA and LSTM Algorithm by Chenyang Wang, Junsheng Wang

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DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects by Lihua Chen, Qi Sun, Ziyang Han, Fengwen Zhai

“…To enable accurate and efficient real-time detection of rail fastener defects under resource-constrained environments, we propose DP-YOLO, an advanced lightweight algorithm based on YOLOv5s with four key optimizations. …”
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A Self-Adaptive Improved Slime Mold Algorithm for Multi-UAV Path Planning by Yuelin Ma, Zeren Zhang, Meng Yao, Guoliang Fan

“…Although the slime mold algorithm (SMA) has proven effective in optimization missions, it still suffers from limitations such as inadequate exploration capacity, premature convergence, and a propensity to become stuck in local optima. …”
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Invalid Signatures Searching Bitwise Divisions-Based Algorithm for Vehicular Ad-Hoc Networks by Xin Ye, Gencheng Xu, Xueli Cheng, Jin Zhou, Zhiguang Qin

“…Following consideration of the above deficiencies of existing approaches, this paper proposes a factorial bitwise divisions (FBD) algorithm and its optimized version and early-stopping factorial bitwise divisions (EFBD) algorithm. …”
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