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  1. 4781

    Design and development of full self-service smart shopping system for unmanned supermarket by Xiao Liang, Yu Qi, Shuo Xi, Guanglei Meng, Zhujun Wang

    Published 2025-08-01
    “…Comparative experiments show that the MU-SLAM algorithm’s positioning accuracy increased by 92%, while the distributed DIMP algorithm’s tracking persistence improved by 107%. …”
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    Article
  2. 4782

    Research on Unmanned Aerial Vehicle Path Planning for Carbon Emission Monitoring of Land-Side Heavy Vehicles in Ports by Xincong Wu, Zhanzhu Li, Xiaohua Cao

    Published 2025-03-01
    “…In the simulation experiment results, the proposed algorithm outperforms A*, ACO, and IEA algorithms in optimizing path length, reducing collision points to ensure path safety, and robustness. …”
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    Article
  3. 4783

    Optimization of spline parameters in approximation of multivalued functions by D. A. Karpov, V. I. Struchenkov

    Published 2023-04-01
    “…Therefore, the previously developed algorithm is unsuitable for solving this problem, even if the same spline elements are used. …”
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    Article
  4. 4784

    Robust Tracking Method for Small and Weak Multiple Targets Under Dynamic Interference Based on Q-IMM-MHT by Ziqian Yang, Hongbin Nie, Yuxuan Liu, Chunjiang Bian

    Published 2025-02-01
    “…Furthermore, the algorithm utilizes Support Vector Machines (SVMs) for anomaly detection and trajectory recovery, thereby enhancing the accuracy of data association and the overall robustness of the system. …”
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    Article
  5. 4785

    A Cuckoo Filter Modification Inspired by Bloom Filter by Hananeh Sasaniyan Asl, Behzad Mozaffari Tazeh kand, Mir Javad Musevi niya

    Published 2019-12-01
    “…A new algorithm is proposed to improve some of the performance properties of Cuckoo Filter such as false positive rate and insertion performance and solve some drawbacks of the Cuckoo algorithm such as endless loop. …”
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    Article
  6. 4786

    Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

    Published 2024-12-01
    “…To address this issue, we present Rore, an algorithm based on a feature-dimensionality reduction strategy. …”
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    Article
  7. 4787

    Increasing network lifetime using data compression in wireless sensor networks with energy harvesting by Sunyong Kim, Chiwoo Cho, Kyung-Joon Park, Hyuk Lim

    Published 2017-01-01
    “…Numerical simulations show that the proposed algorithm achieves a reduced average energy consumption while extending the entire network lifetime.…”
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    Article
  8. 4788

    Deep learning and digital twin integration for structural damage detection in ancient pagodas by Sida Xu, Haonan Chen

    Published 2025-08-01
    “…However, existing deep learning-based object detection technologies face limitations in achieving full coverage of architectural sculptures and enabling multi-angle, free observation, while also exhibiting substantial detection errors. …”
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    Article
  9. 4789

    A Bionic Social Learning Strategy Pigeon-Inspired Optimization for Multi-Unmanned Aerial Vehicle Cooperative Path Planning by Yankai Shen, Xinan Liu, Xiao Ma, Hong Du, Long Xin

    Published 2025-01-01
    “…The paper also proves the algorithm’s convergence and provides complexity analysis. …”
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    Article
  10. 4790

    CLUSTER AND CONJOINT ANALYSIS FOR DETERMINING ONLINE SHOP SHOPEE CUSTOMERS PREFERENCE BASED ON E-SERVICE QUALITY by Dimas Nurwinata Rinaldi, Fahriza Nurul Azizah, Candra Galang Gemilang Putra

    Published 2021-06-01
    “…The result from k-means algorithm is there are 2 groupings of customers based on their sociodemographic characteristics, cluster 1 with the majority of women members with frequent visits, while for cluster 2 with the majority of male members with frequent visits. …”
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    Article
  11. 4791

    Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams by Ikenna Ekeke, Carlos Francisco Moreno-García, Eyad Elyan

    Published 2025-12-01
    “…The wiring algorithm leverages an improved pathfinding approach that reduces bends and total wiring length by 43% while adhering to boundary constraints and electrical rules. …”
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    Article
  12. 4792

    RWP-NSGA II: Reinforcement Weighted Probabilistic NSGA II for Workload Allocation in Fog and Internet of Things Environment by Hafsa Raissouli, Samir Brahim Belhaouari, Ahmad Alauddin Bin Ariffin

    Published 2024-01-01
    “…This method uses domain-specific knowledge to improve convergence and solution quality, resulting in reduced delay and better energy efficiency compared to traditional NSGA II and other evolutionary algorithms. The results demonstrate that the proposed algorithm reduces delay by nearly 2 s while also achieving an improvement in energy efficiency, surpassing the state of the art by nearly 3 units.…”
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  13. 4793

    Energy management in a microgrid equipped with an electric vehicle based on the internet of things considering responsive load by Mohamad Mahdi Erfani Majd, Reza Davarzani, Mahmoud Samiei Moghaddam, Ali Asghar Shojaei, Mojtaba Vahedi

    Published 2025-02-01
    “…A novel Energy-Trading Management Algorithm (ETMA), based on the Meerkat Optimization Algorithm (MOA), is proposed to tackle the complexities of this system. …”
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    Article
  14. 4794

    Efficient dynamic task offloading and resource allocation in UAV-assisted MEC for large sport event by Chen Peng, Qiqi Wang, Desheng Zhang

    Published 2025-04-01
    “…Experiments shows that the EDRA algorithm can reduce energy consumption by 32.4% compared to advanced algorithms while ensuring stronger system performance.…”
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    Article
  15. 4795

    A grid-based sectoring for energy-efficient wireless sensor networks by Nubunga Ishaya, Mustapha Aminu Bagiwa

    Published 2025-04-01
    “…This research improves CH selection by organizing sensor nodes into square grid clusters and employing a routing algorithm for randomized CH selection. Game theory (GT) and Ad hoc on Demand Vectors (AODV) were used to choose the optimal routing path, while Grey Wolf Optimization (GWO) was used to determine the optimal CHs. …”
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    Article
  16. 4796

    DMCM: Dwo-branch multilevel feature fusion with cross-attention mechanism for infrared and visible image fusion. by Xicheng Sun, Fu Lv, Yongan Feng, Xu Zhang

    Published 2025-01-01
    “…The proposed algorithm, along with seven others, was tested extensively on public datasets such as TNO and Roadscene. …”
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    Article
  17. 4797

    A DDQN-Guided Dual-Population Evolutionary Multitasking Framework for Constrained Multi-Objective Ship Berthing by Jinyou Mou, Qidan Zhu

    Published 2025-05-01
    “…Simulations on the CSAD vessel model demonstrate that this framework outperforms baseline algorithms such as evolutionary multitasking constrained multi-objective optimization (EMCMO), DQN, Q-learning, and non-dominated sorting genetic algorithm II (NSGA-II), achieving superior efficiency and stability while maintaining the required berthing angle. …”
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    Article
  18. 4798

    Robust Design Optimization of Viscoelastic Damped Composite Structures Integrating Model Order Reduction and Generalized Stochastic Collocation by Tianyu Wang, Chao Xu, Teng Li

    Published 2024-12-01
    “…Pareto optimal solutions are determined by combining the proposed MOR and gSC approaches with a well-established Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm, which accounts for robustness in handling design variables, objectives, and constraints. …”
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  19. 4799

    Impact of Network Configuration on Hydraulic Constraints and Cost in the Optimization of Water Distribution Networks by Mojtaba Nedaei

    Published 2025-03-01
    “…The research focuses on designing and optimizing various WDN configurations while adhering to hydraulic constraints. Several key parameters and criteria are considered to achieve an efficient design. …”
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    Article
  20. 4800

    Wood Panel Defect Detection Based on Improved YOLOv8n by Rui Li, Shilu Zhong, Xuemei Yang

    Published 2025-02-01
    “…Traditional detection methods are time-consuming and subjective, and they can lead to economic waste, while deep learning image recognition techniques offer a new approach. …”
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