Showing 2,021 - 2,040 results of 4,946 for search 'different (evolution OR evaluation) algorithm', query time: 0.15s Refine Results
  1. 2021

    YOLOv7-DWS: tea bud recognition and detection network in multi-density environment via improved YOLOv7 by Xiaoming Wang, Xiaoming Wang, Zhenlong Wu, Guannan Xiao, Guannan Xiao, Chongyang Han, Cheng Fang

    Published 2025-01-01
    “…Secondly, a new loss function WiseIoU is proposed for the loss function in YOLOv7, which improves the accuracy of the model. Finally, we evaluate different attention mechanisms to enhance the model’s focus on key features.Results and discussionThe experimental results show that the improved YOLOv7 algorithm has significantly improved over the original algorithm in all evaluation indexes, especially in the RTea(+6.2%) and mAP@0.5 (+7.7%). …”
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    Article
  2. 2022

    Correction Processing Method and Application of Induction Logging Tool in Highly Deviated Wells by LIU Jiacheng

    Published 2023-06-01
    “…Based on the influence of borehole invasion and the actual measurement signal processing algorithm, the resistivity curves of different detection depth can be obtained by projecting the processing actual logging data from vertical well to deviated-well. …”
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    Article
  3. 2023

    Parallel Simulation Multi-Sample Task Scheduling Approach Based on Deep Reinforcement Learning in Cloud Computing Environment by Yuhao Xiao, Yping Yao, Feng Zhu

    Published 2025-07-01
    “…Complex scenario analysis and evaluation simulations often involve multiple sets of simulation applications with different combinations of parameters, thus resulting in high computing power consumption, which is one of the factors that limits the efficiency of multi-sample parallel simulations. …”
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    Article
  4. 2024

    Research on incremental deployment mechanism of network modality for polymorphic network environment by Jiong LI, Yuxiang HU, Pengshuai CUI, Le TIAN, Yongji DONG

    Published 2023-06-01
    “…Polymorphic networks support diverse network requirements and can coexist, evolve, and change on a unified physical or logical infrastructure in the form of network modality.They can maximize the innovation vitality of network technology driven by new applications.The evolution and development of modality require the incremental deployment of modality to meet the needs of convenience and privacy protection in the multi-user deployment process.However, the deployment of current network functions still uses the one-by-one deployment method, resulting in high complexity of the deployment of new modality, and mutual exposure of processing logic between different users.To address these issues, an incremental deployment mechanism for polymorphic network environments was proposed.Firstly, an incremental deployment mechanism for network modality was designed.Then, the incremental deployment of modality was abstracted as a graph merging problem based on this mechanism, and an adjacency list-based merge parsing graph algorithm was designed.The simulation results indicate that the proposed mechanism can achieve fast and correct merging of network modality, support incremental modality deployment, and greatly reduce the application deployment and service provision threshold of new network systems.…”
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    Article
  5. 2025

    A Comparative Study on Sideband Optimization in Time-Modulated Arrays by Ertugrul Aksoy, Erkan Afacan

    Published 2014-01-01
    “…During the investigations, differential evolution (DE) algorithm is chosen as the optimization tool. …”
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    Article
  6. 2026

    Research on incremental deployment mechanism of network modality for polymorphic network environment by Jiong LI, Yuxiang HU, Pengshuai CUI, Le TIAN, Yongji DONG

    Published 2023-06-01
    “…Polymorphic networks support diverse network requirements and can coexist, evolve, and change on a unified physical or logical infrastructure in the form of network modality.They can maximize the innovation vitality of network technology driven by new applications.The evolution and development of modality require the incremental deployment of modality to meet the needs of convenience and privacy protection in the multi-user deployment process.However, the deployment of current network functions still uses the one-by-one deployment method, resulting in high complexity of the deployment of new modality, and mutual exposure of processing logic between different users.To address these issues, an incremental deployment mechanism for polymorphic network environments was proposed.Firstly, an incremental deployment mechanism for network modality was designed.Then, the incremental deployment of modality was abstracted as a graph merging problem based on this mechanism, and an adjacency list-based merge parsing graph algorithm was designed.The simulation results indicate that the proposed mechanism can achieve fast and correct merging of network modality, support incremental modality deployment, and greatly reduce the application deployment and service provision threshold of new network systems.…”
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    Article
  7. 2027

    Physics-Informed Neural Network for Load Margin Assessment of Power Systems with Optimal Phasor Measurement Unit Placement by Murilo Eduardo Casteroba Bento

    Published 2024-10-01
    “…The IEEE 68-bus system and the Brazilian interconnected power system were chosen as the test systems to perform the case studies and evaluations. Three different metaheuristics called the Hiking Optimization Algorithm, Artificial Protozoa Optimizer, and Particle Swarm Optimization were applied and evaluated in the test system. …”
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    Article
  8. 2028

    Cultivation Method Analysis for Teachers’ Teaching Ability Driven by Artificial Intelligence Technology by Yanfang Chen, Shasha Xu

    Published 2022-01-01
    “…First, this work researches and improves the teaching ability training strategies of college teachers driven by artificial intelligence from different levels. Second, this work proposes a neural network (IPSO-BP) for evaluating the teaching ability of college teachers via artificial intelligence technology. …”
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    Article
  9. 2029

    Sparse Array Mutual Coupling Reduction by C. Larmour, N. Buchanan, V. Fusco, M. Ali Babar Abbasi

    Published 2024-01-01
    “…The paper conducts a comprehensive comparison of multiple array design optimisation techniques, including genetic algorithm, covariance matrix adaptation evolution strategy, particle swarm optimisation, trust-region framework, Nelder-Mead simplex algorithm, interpolated Quasi-Newton, and classic Powell. …”
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    Article
  10. 2030

    The sustainable energy development dilemma in European countries: a time-series cluster analysis by Víctor Dugo, David Gálvez-Ruiz, Pilar Díaz-Cuevas

    Published 2025-08-01
    “…Abstract Background Measuring the evolution of countries in various related dimensions is essential for the evaluation of progress and compliance with the set of sustainable development goals. …”
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    Article
  11. 2031

    The Eve of Global Conflict or Contra Spem Spero? by O. V. Gaman-Golutvina

    Published 2024-12-01
    “…The influence of this geopolitical circumstance was reflected in the configuration of Russian statehood with its traditional emphasis on a rigid hierarchy of governance, a strictly vertical decision-making algorithm and the centralization of the territorial structure, as a result of which hierarchization was not just an attribute of the historical evolution of Russia, but an archetypal form of organization of the country’s political space. …”
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    Article
  12. 2032

    Determination of Anisotropic Mechanical Properties for Materials Processed by Laser Powder Bed Fusion by Even W. Hovig, Amin S. Azar, Frode Grytten, Knut Sørby, Erik Andreassen

    Published 2018-01-01
    “…An optimization algorithm is also proposed for determining the anisotropic elastic constants using only a few tensile test results. …”
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    Article
  13. 2033

    Trust model based on individual experience by WANG Shao-jie, ZHENG Xue-feng, WANG Xiong-bin, CHU Li-jun, YU Zhen

    Published 2008-01-01
    “…The analysis shows,by introduc-ing the new model,the accuracy of trust evaluation and the feedback trust algorithm are both improved. …”
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    Article
  14. 2034

    Diagnostic Approach in Infants and Children with Mitochondrial Diseases by Ching-Shiang Chi

    Published 2015-02-01
    “…Therefore, follow-up evolution of clinical symptoms/signs and biochemical data is crucial. …”
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    Article
  15. 2035

    Study on the Processing Technology of Calamine Calcination by Near-Infrared Spectroscopy by Xiaodong Zhang, Long Chen, Yu Bai, Keli Chen

    Published 2019-01-01
    “…Then, matching the near-infrared spectroscopy data with the T value and establishing the T value analysis model using the PLS algorithm were performed. Through cross and independent validation and evaluation, it was proved that the two models were very effective and had strong predictive abilities. …”
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    Article
  16. 2036

    Integrating intracellular dynamics using CompuCell3D and Bionetsolver: applications to multiscale modelling of cancer cell growth and invasion. by Vivi Andasari, Ryan T Roper, Maciej H Swat, Mark A J Chaplain

    Published 2012-01-01
    “…CompuCell3D or CC3D provides an implementation of the lattice-based Cellular Potts Model or CPM (also known as the Glazier-Graner-Hogeweg or GGH model) and a Monte Carlo method based on the metropolis algorithm for system evolution. The integration of CC3D for cellular systems with Bionetsolver for subcellular systems enables us to develop a multiscale mathematical model and to study the evolution of cell behaviour due to the dynamics inside of the cells, capturing aspects of cell behaviour and interaction that is not possible using continuum approaches. …”
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    Article
  17. 2037

    A Cross-Calibration Approach for Coastline Extraction With Time Series Satellite Images by Hua Yang, Jintao Xia, Jiang Zhang

    Published 2025-01-01
    “…Due to tidal influences, the satellite images captured at different times have different water coverage in nearshore area. …”
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    Article
  18. 2038

    Efficient Design Optimization Assisted by Sequential Surrogate Models by Emiliano Iuliano

    Published 2019-01-01
    “…The surrogates are exploited to screen the design space and provide lower-fidelity predictions across it; on the other hand, specific criteria are designed to suggest new points for high-fidelity evaluation so as to enrich the optimizer database. Both Kriging and radial basis function network are used as surrogates with different training strategies. …”
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    Article
  19. 2039

    DEVELOPMENT METHODS FOR CALCULATING POWER LOSSES AND THE VOLTAGE LEVELS IN COMPLEX DISTRIBUTION NETWORKS by I. M. Valeev, Ha. D. Nguyen

    Published 2017-12-01
    “…The paper presents an analysis and evaluation of the effectiveness different methods for reduction the power loss and voltage in the distribution networks by changing and building a new network topology using the software PSS/ADEAPT. …”
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    Article
  20. 2040

    Аssessment of the Effectiveness of Etiotropic Prophylaxis of Tick-Borne Infections: the Systematization of concepts and methodological features by N. A. Penyevskaya, N. V. Rudakov

    Published 2019-01-01
    “…Algorithm for calculating the number of preventable cases of TBE diseases is proposed for a comparative evaluation of the effectiveness of vaccination as an anti-epidemic measure in different areas.…”
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    Article