Comparative Analysis of a Quantum SVM With an Optimized Kernel Versus Classical SVMs by Matheus Cammarosano Hidalgo

“…Businesses across industries face challenges in improving customer retention and reducing churn, making predictive models essential for identifying at-risk customers and enhancing revenue. …”
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Full lifecycle security management scheme for terminal keys under power IoT by Wang Hui, Yuan Jiahui, Shi Zhentong, Fang Mu

“…Compared to conventional terminal key storage and management methods, the scheme of this paper improves key access performance without changing the existing hardware platform.…”
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Shape optimization and mechanical properties analysis of the free-form surface by Cui Guoyong, Cui Changyu

“…A new method was established to minimize the strain energy while improving the computation efficiency. The optimization model, sensitivity analysis, optimum algorithm, and mechanics analysis program were all implemented in FORTRAN language, with two free-form continuous shell structure surfaces to demonstrate the correctness and effectiveness of the method. …”
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Multi-Objective Parameter Optimization of Electro-Hydraulic Energy-Regenerative Suspension Systems for Urban Buses by Zhilin Jin, Xinyu Li, Shilong Cao

“…Subsequent non-dominated sorting genetic algorithm II (NSGA-II) implementation enabled effective multi-objective optimization of key suspension parameters. …”
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Handheld Ground-Penetrating Radar Antenna Position Estimation Using Factor Graphs by Paweł Słowak, Tomasz Kraszewski, Piotr Kaniewski

“…The system was modeled under realistic conditions, and both the EKF and various factor-graph algorithms were implemented. …”
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Dynamic Water Scheduling in the Northwest River Delta Basin Based on Minimum Discharge Flow Control in Cross-section by WU Di, FANG Chunyan, SHANG Yunfei

“…The whale optimization algorithm was used to find the optimal water allocation plan. …”
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Research on landing distance of a civil aircraft based on Bayesian network by WANG Ke, SHAO Jingwen, YANG Jun

“…The landing-related data is discretized by the quartile method，and the modeling methods are compared and selected. The network structure is learned by PC algorithm. …”
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Research Progress of Finite Element Technology in Wood Processing by Maosen Wang, Lin Yang

“…This review focuses on FEA applications in wood processing, encompassing both solid wood and engineered wood products, simulating and characterizing the drying process of wood products, and modeling cutting operations. It highlights challenges such as model accuracy and algorithm optimization, suggesting that continuous improvements in FEA models and algorithms can further enhance processing efficiency and product quality. …”
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Affinity Propagation-Based Hybrid Personalized Recommender System by Iqbal Qasim, Mujtaba Awan, Sikandar Ali, Shumaila Khan, Mogeeb A. A. Mosleh, Ahmed Alsanad, Hizbullah Khattak, Mahmood Alam

“…Affinity propagation is a semisupervised machine learning algorithm used to cluster items based on similarities among them. …”
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Vibration Control of Wind Turbine Blade Based on Data Fitting and Pole Placement with Minimum-Order Observer by Tingrui Liu, Lin Chang

“…It not only ensures certain accuracy, but also greatly improves the speed of calculation. The Wilson method, developed on the basis of the blade momentum theory, is adopted to optimize the structural parameters of the blade, with all parameters fitted as general model Sin6 (Sum of Sine) fitting curves. …”
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Predicting Accident Severity on Taiwan Highways Using Machine Learning and Electronic Toll Collection (ETC) Data by Pei-Chun Lin, Kuan-Yen Chen, Jenhung Wang

“…The findings not only enhance the understanding of environmental influences on accident outcomes but also offer actionable insights for improving highway safety. Moreover, Taiwan’s ETC system serves as a model for countries seeking to integrate tolling infrastructure with traffic safety analytics.…”
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Three-Dimensional in Vivo Imaging of Green Fluorescent Protein-Expressing T Cells in Mice with Noncontact Fluorescence Molecular Tomography by Anikitos Garofalakis, Giannis Zacharakis, Heiko Meyer, Eleftherios N. Economou, Clio Mamalaki, Joseph Papamatheakis, Dimitris Kioussis, Vasilis Ntziachristos, Jorge Ripoll

“…By measuring multiple projections, large data sets can be obtained, thus improving the accuracy of the inversion models used for quantitative three-dimensional reconstruction of fluorochrome distribution, as well as facilitating a higher spatial resolution. …”
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Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing by Shu Xu, Qingjie Liu, Chengye Gong, Xupeng Wen

“…Extensive experiments demonstrate that the algorithm achieves improvements in system latency and energy efficiency compared to conventional approaches. …”
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Parallel Machine Production and Transportation Operations’ Scheduling with Tight Time Windows by Yang Jiang, Tong He, Jie Xiong, Xin Wu, Yao Chen

“…The results show that the use of the system coordination model in this method obviously improves the number of successful transfers and deliveries.…”
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DBSQFusion: a multimodal image fusion method based on dual-channel attention by Shaodong Liu, Faming Shao, Xiaohui He, Jinhong Xue, Heng Zhang, Qing Liu

“…Furthermore, a Sparse Multi-scale Loss function (SMLoss) is employed to enhance multi-scale information and edge textures, thereby further improving the quality of the fused image. Extensive experiments were conducted on multiple datasets, and various evaluation metrics were utilized to demonstrate the superiority of our proposed model.…”
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Quantitative Method For Post-Windstorm Function of Community Shelters Considering The Impact of Urban Road Network by Lu Zhang, Shuang Tan

“…Then, the population distribution and refugee generation models are also introduced. To determine accurate RTT and RAR, an efficient traffic flow allocation algorithm based on stochastic non-equilibrium assignment model are proposed to calculate the post-windstorm flows on urban roads. …”
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Multi-objective design optimization of a transonic axial fan stage using sparse active subspaces by Richard Amankwa Adjei, Chengwei Fan

“…Active subspace was used to compute the active variables via singular value decomposition and a hybrid polynomial correlated function expansion was used to construct a surrogate model on the active subspace. Coupled with freeform method and multi-objective genetic algorithm, an automated optimization loop was run at a single operating condition. …”
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Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network by Renpeng LIU, Bo HU, Hequn LI

“…The high-speed motion of low-earth orbit communication satellites results in a highly dynamic network topology, and the spatio-temporal distribution of resources in the satellite-terrestrial integrated network is non-uniform.When multiple users and services switch between satellites, a large number of handover requests are triggered, leading to intensified network resource competition.As a result, the limited satellite resources cannot meet all the handover requests, leading to a significant decrease in handover success rate.In view of the above problem, the multi-objective optimization based satellite handover method was proposed.It introduced the satellite coverage spatio-temporal graph and transforms the dynamic continuous topology into static discrete snapshots, accurately depicted the connections between satellite nodes and users at different times and locations.The multi-objective optimization model was established for satellite handover decisions, and anadaptive accelerated multi-objective evolutionary algorithm(AAMOEA) was proposed to optimized user data rate and network load simultaneously, ensured handover success rate and enhanced network service capability.It built a STIN communication simulation environment and tested the multi user handover performance in a multi satellite overlapping coverage scenario.The results demonstrated that the multi-objective optimization-based satellite handover method achieved an average handover success rate improvement of over 20% compared to benchmark algorithms.…”
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Communication-constrained multi-UAV task allocation method for non-independent tasks by Jing Chu, Fei Yan, Zhongxian Xu

“…Experimental results demonstrate that NI-MTA improves system performance compared to traditional market-based approaches, effectively handling task dependencies and limited communication. …”
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Risk Limiting Based Resilient Operation Method for Power Grid by Xiyue WANG, Hao ZHANG, Chaoyi PENG

“…By deriving three intermediate state models of RLB and their analytical solutions, we present an iterative RLB solution algorithm based on intermediate state models and provide a rigorous proof of its global optimality. …”
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