A Forward Solution Algorithm of 6RUS Parallel Mechanism Based on Dual Quaternion Method by Guangyu-yu Dong, Yu-hong Du, Wen-peng Li

“…The key contributions of this work include the development of a comprehensive forward and inverse kinematic model for the 6RUS parallel manipulator, incorporating the effects of joint constraints, singularities, and workspace limitations. We also present a detailed analysis of the algorithm’s performance in comparison to existing approaches, demonstrating its superiority in terms of computational efficiency and accuracy. …”
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A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search by Weizhong Wang, Hai-Lin Liu, Hongjian Shi

“…Therefore, the lower-level search should search lower-level non-dominated solutions that are also non-dominated in the upper-level objective space. …”
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Data Mining and Analysis of the Compatibility Law of Traditional Chinese Medicines Based on FP-Growth Algorithm by Shuchun Zhou

“…The results show that the FP-growth algorithm adopted in this paper has excellent algorithm performance and strong generalization and robustness in the screening and mining of large-scale prescription data sets, which can provide important processing tools and technical methods for the study of the compatibility rule of traditional Chinese medicine prescriptions.…”
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An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm by Alfred Adutwum Amponsah, Fei Han, Jeremiah Osei-Kwakye, Ernest Bonah, Qing-Hua Ling

“…However, it lacks the ability to preserve diversity by mainly focusing on exploitation, and adopting random selection to choose leaders also hinders its performance. To overcome these deficiencies, an improved multi-leader comprehensive learning particle swarm optimiser is proposed based on Karush-Kuhn-Tucker proximity measure and Gravitational Search Algorithm. …”
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Optimizing convex hull discovery: Introducing a quintuple-region algorithm with enhanced computational efficiency by Fidan Nuriyeva, Hakan Kutucu

“…Through theoretical analysis and case studies presented in the latter sections, this paper not only enhances understanding of convex hull computation but also demonstrates the practical efficiency and effectiveness of the proposed algorithm in various scenarios. …”
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Intelligent City 3D Modeling Model Based on Multisource Data Point Cloud Algorithm by Youping Wu, Zhihui Zhou

“…A point cloud preprocessing process is also designed: point cloud noise reduction and downsampling to ensure the original point cloud geometry structure remain unchanged, while improving the point cloud quality and reducing the number of point clouds. …”
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DECISION TREE WITH HILL CLIMBING ALGORITHM BASED SPECTRUM HOLE DETECTION IN COGNITIVE RADIO NETWORK by N Suganthi, R Meenakshi, A Sairam, M Parvathi

“…The approach integrates a Decision Tree (DT) algorithm for rapid initial classification of Primary User (PU) activity, followed by a Hill Climbing (HC) optimization algorithm that fine-tunes the detection based on a fitness function. …”
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DV-DETR: Improved UAV Aerial Small Target Detection Algorithm Based on RT-DETR by Xiaolong Wei, Ling Yin, Liangliang Zhang, Fei Wu

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Fusing Algorithms for Intersection of Computer Science and Art: Innovations in Generative Art and Interactive Digital Installations by Jingpeng Xie, Miaomiao Yu, Guangliang Liu

“…The study focuses on how these advanced algorithms can enhance artistic expression and interactivity, providing novel approaches for generating and optimizing art. …”
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Influence-Based Community Partition with DegreeRank Label Propagation (DRLP) Algorithm for Social Networks by Mingwu Li, Ailian Wang, Xuyang Gao, Bolin Li

“…We also develop an update algorithm with low time complexity during the label selection process to ensure the sum of influence propagation is maximized within each community. …”
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Adaptive Reconfigurable Learning Algorithm for Robust Optimal Longitudinal Motion Control of Unmanned Aerial Vehicles by Omer Saleem, Aliha Tanveer, Jamshed Iqbal

“…The proposed algorithm is formulated to track the optimal trajectory yielded by the baseline Linear Quadratic Integral (LQI) controller. …”
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Recent Efficient Iterative Algorithms on Cognitive Radio Cooperative Spectrum Sensing to Improve Reliability and Performance by Mohsen Akbari, Ahmed Wasif Reza, Kamarul Ariffin Noordin, Kaharudin Dimyati, Mohsen Riahi Manesh, Mohammad Nour Hindia

“…In fact, all steps of genetic algorithm (GA), particle swarm optimization (PSO), and imperialistic competitive algorithm (ICA) will be well mentioned in detail and investigated on cognitive radio cooperative spectrum sensing (CRCSS) method. …”
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Improvements from incorporating machine learning algorithms into near real-time operational post-processing by Gabrielle Tepp, Ellen Yu, Aparna Bhaskaran, Ryan Tam, Weiqiang Zhu, Zackary Newman, Erika Jaski, Nick Scheckel

“…Recently, machine learning algorithms, particularly for phase picking, have matured enough for use in regional monitoring systems. …”
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Optimal operation model of ecological flow of hydropower station based on genetic algorithm and neural network by Yong Luo

“…It not only satisfies ecological flow requirements, but also significantly enhances power generation efficiency. …”
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Algorithm-informed treatment from EEG patterns improves outcomes for patients with major depressive disorder by Ramon Solhkhah, Justin Feintuch, Mabel Vasquez, Eamon S. Thomasson, Vijay Halari, Kathleen Palmer, Morgan R. Peltier

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Online Prediction and Correction of Static Voltage Stability Index Based on Extreme Gradient Boosting Algorithm by Huiling Qin, Shuang Li, Juncheng Zhang, Zhi Rao, Chengyu He, Zhijun Chen, Bo Li

“…This article proposes a real-time prediction and correction method based on the extreme gradient boosting (XGBoost) algorithm. The XGBoost algorithm is utilized to evaluate the real-time stability of grid static voltage, with the voltage stability L-index as the prediction target. …”
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Multi-Link Fragmentation-Aware Deep Reinforcement Learning RSA Algorithm in Elastic Optical Network by Jing Jiang, Yushu Su, Jingchi Cheng, Tao Shang

“…However, many studies focus on link-level state analysis and rarely discuss the influence between links, which may affect the performance of allocation algorithms. In this paper, we propose a multi-link fragmentation deep reinforcement learning-based routing and spectrum allocation algorithm (MFDRL-RSA). …”
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Fuzzy Logic Optimization to Control Air Conditioner (AC) Conditions using Rule-Based Algorithm by Mhd. Idham Khalif, Abdul Muis

“…This study will build and develop an AC condition control device that is different from the built-in remote of the AC unit, where the AC condition control device that is built can control the AC condition automatically and without human intervention, by implementing the fuzzy logic algorithm and Rule-based algorithm. Similar studies have been conducted but are still limited to simulations, not yet implemented on real devices. …”
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Harmonic Detection Algorithm for Traction Power Supply System Based on ICEEMDAN and Teager Energy Operator by XIE Zeen

“…In view that the conventional harmonic detection algorithms cannot support analysis on nonlinear and non-stationary harmonics in the traction power supply systems, this paper proposes a harmonic detection algorithm based on the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and Teager energy operator (TEO). …”
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Object-oriented remote sensing image segmentation based on automatic multiseed region growing algorithm by YAN Dong-yang, MING Dong-ping

“…To solve this problem, this paper proposes an improved object-oriented automatic multiseed region growing algorithm, which is suitable for simultaneously extracting multiple target objects and its segmentation result is also good. …”
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