Identification Method of Influencing Factors of Hospital Catering Service Satisfaction Based on Decision Tree Algorithm by Siyao Li, Di Xu, Yang Liu, Rui Wang, Jian Zhang

“…Decision tree algorithm is a kind of data mining algorithm. Data mining technology is a young technology for data analysis. …”
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A Survey on the Application of Evolutionary Algorithms for Mobile Multihop Ad Hoc Network Optimization Problems by D. G. Reina, P. Ruiz, R. Ciobanu, S. L. Toral, B. Dorronsoro, C. Dobre

“…Evolutionary algorithms are metaheuristic algorithms that provide quasioptimal solutions in a reasonable time. …”
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Employing Efficient Algorithms to Reduce the Distance Traveled in Location-Routing Problems Considering Travel and Service by Amir-Mohammad Golmohammadi, Alireza Goli, Hasan Rasay

“…It also makes it possible to estimate the costs more accurately.…”
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Risk assessment and hybrid algorithm transportation path optimization model for road transport of dangerous goods by Qiankun Jiang, Haiyan Wang

“…The comprehensive analysis shows that the established model is reasonable, and the designed improved hybrid algorithm can improve the efficiency of the transportation industry, while also contributing to the improvement of the current cost status of dangerous goods road transportation.…”
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Development, Verification and Assessment of a Laser Profilometer and Analysis Algorithm for Microtexture Assessment of Runway Surfaces by Gadel Baimukhametov, Greg White

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Research on the Time-varying Meshing Stiffness Algorithm of Spur Gears with Large Tooth Number Cracks by Jiao Wei, Xu Kejun, Qin Haiqin

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Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm by Rafiqul Islam, Md. Arif Hossain

“…This paper introduces a novel methodology for predicting Unconfined Compressive Strength (UCS) in rocks by integrating Support Vector Regression (SVR) with two cutting-edge optimization algorithms: the Seahorse Optimizer (SO) and the COOT Optimization Algorithm (COOT). …”
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Implementation of Re-Simulation-Based Integrated Analysis System to Evaluate and Improve Autonomous Driving Algorithms by Soobin Jeon, Junehong Park, Dongmahn Seo

“…The system also introduces robust re-simulation capabilities, enhancing algorithm validation using iterative testing based on real-world or simulated sensor data. …”
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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

“…Experimental results show that the proposed model can detect intrusions using different ML algorithms with high accuracy. The results of the proposed model for different ML algorithms outperform the state-of-the-art algorithms, and the maximum enhancement reached 15% in the accuracy metric.…”
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Provide a Solution Based on Teacher and Student Learning Algorithm to Reduce Regression Test Cases by Mahmood Deypir, Amirhossein Mohammadpour

“…Also, the results of teacher-student algorithm were compared with previous approaches of regression test case reduction. …”
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Landslide spatial prediction using data-driven based statistical and hybrid computational intelligence algorithms by Xia Zhao, Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia, Qingfeng He

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Combining machine-learned and empirical force fields with the parareal algorithm: application to the diffusion of atomistic defects by Gorynina, Olga, Legoll, Frédéric, Lelièvre, Tony, Perez, Danny

“…We numerically investigate an adaptive version of the parareal algorithm in the context of molecular dynamics. This adaptive variant has been originally introduced in [1]. …”
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Hybrid genetic algorithm to minimize scheduling cost with unequal and job dependent earliness tardiness cost by Prasad Bari, Prasad Karande, Vaidehi Bag

“…The best sequence from each epoch is also injected as a population member in the subsequent epoch. …”
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Advanced Genetic Algorithms for Optimal Battery Siting: A Practical Methodology for Distribution System Operators by Edward Alejandro Ortiz, Josimar Tello-Maita, David Celeita, Agustin Marulanda Guerra

“…By incorporating historical data on demand and network failures, the algorithm generates statistical models that inform the optimization process. …”
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Obtaining Scalable Fringe Precision in Self-Mixing Interference Using an Even-Power Fast Algorithm by Zheng Wei, Wencai Huang, Jie Zhang, Xiulin Wang, Huili Zhu, Tong An, Xia Yu

“…The influence factors are also discussed when the algorithm is applied in actual measurements.…”
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Advanced Cooperative Formation Control in Variable-Sweep Wing UAVs via the MADDPG–VSC Algorithm by Zhengyang Cao, Gang Chen

“…The precise motion state model for wing morphing developed in this study underpins the MADDPG–VSC algorithm’s implementation. The algorithm not only optimizes multi-UAV formation control efficiency but also improves obstacle avoidance, attitude stability, and decision-making speed. …”
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Predicting transmembrane helix packing arrangements using residue contacts and a force-directed algorithm. by Timothy Nugent, David T Jones

“…Finally, we employ a force-directed algorithm to construct the optimal helical packing arrangement which demonstrates success for proteins containing up to 13 transmembrane helices. …”
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Research on the Particle Filter Single-Station Target Tracking Algorithm Based on Particle Number Optimization by Lieping Zhang, Jinghua Nie, Shenglan Zhang, Yanlin Yu, Yong Liang, Zuqiong Zhang

“…On this basis, the optimal number of particles, which could meet the accuracy and real-time performance requirements, was determined and taken as the number of particles of the proposed algorithm. The MATLAB simulation results revealed that compared with the unscented Kalman filter (UKF), the single-station PF target tracking algorithm based on particle number optimization not only was of high tracking accuracy but also could meet the real-time performance requirement.…”
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Rapid diagnostic algorithms as a screening tool for tuberculosis: an assessor blinded cross-sectional study. by Franz Ratzinger, Harald Bruckschwaiger, Martin Wischenbart, Bernhard Parschalk, Delmiro Fernandez-Reyes, Heimo Lagler, Alexandra Indra, Wolfgang Graninger, Stefan Winkler, Sanjeev Krishna, Michael Ramharter

“…Our results also emphasize the need for validation of new diagnostic algorithms in different settings and patient populations.…”
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An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA by Jae-Hyun Seo, Yourim Yoon, Yong-Hyuk Kim

“…This study aimed not only to shorten the computing time to as close to real-time as possible by using the Compute Unified Device Architecture (CUDA) but also to maintain a solution quality that is as good as or better than the case when the proposed algorithm is not used. …”
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