Showing 461 - 480 results of 4,920 for search '(source OR sources) optimization (method OR methods)', query time: 0.19s Refine Results
  1. 461

    A Multistep Method for Automatic Determination and Optimization of Microseismic P-Phase Arrival Times in a Coal Mine by Quanjie Zhu, Xiaohui Liu, Xiaoyun Liu, Haitao Chai, Jianjun Shi

    Published 2019-01-01
    “…This method is applied for a precise determination of P-phase arrival time; in addition, an automatic quality estimate is obtained to optimize and select the effective stations and used for source location. …”
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    Article
  2. 462

    Scientific planning of dynamic crops in complex agricultural landscapes based on adaptive optimization hybrid SA-GA method by Changlong Li, Zengye Su, Yudan Nie, Zhiyi Ye, Jinyi Li, Jing Wang, Zicong Yang, Xuxin Li, Weijian Zeng, Yanjian Chen

    Published 2025-08-01
    “…Abstract Effective dynamic agricultural planning is crucial for optimising resource allocation and ensuring income stability, yet conventional methods often face limitations in adapting to the complex and variable conditions of mountainous regions, particularly under fluctuating climate and market pressures. …”
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    Article
  3. 463

    Virtual Cluster Partitioning Method of Active Distribution Networks Using Quantum Particle Swarm Optimization and Sector Search by Wei Liu, Yifan Tong, Xinran Xing, Xi Chen, Bo Hu, Qian Sun, Yufei Wang, Huaxin Li, Huidong Guo

    Published 2025-04-01
    “…ABSTRACT The presence of numerous distributed power sources in distribution grids leads to a diverse array of controlled object points and significant uncertainties, thereby posing a series of challenges to the control and operation of distribution grids. …”
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  4. 464
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  6. 466

    Methodological aspects of optimization of energy consump-tion costs of low-rise buildings with a built-in air heat pump by E. I. Krupnov, I. A. Zaitseva, S. A. Loginova, I. S. Zaitsev

    Published 2023-08-01
    “…The article presents a methodology for calculating the consumed electrical energy and heat generation, as well as the seasonal indicator of energy efficiency in the operation of an air source heat pump.Method. The technique takes into account, as input data, experimental data from tests of high-voltage heat pumps in terms of heat output depending on the change in the temperature of the source of low-grade heat and the temperature regime of the coolant.Result. …”
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    Article
  7. 467

    A Quantum Q-Learning Fault Diagnosis Method for Intelligent Manufacturing Equipment by Yi Chen, Kai Deng, Xuelin Du, Zichao Chang, Tong Wan

    Published 2025-07-01
    “…The distinct advantages of quantum computing are innovatively integrated with the decision-making framework of Q-learning through this method. By harnessing the multi-information-carrying capacities of qubits, vast amounts of multi-source heterogeneous data generated during equipment operation can be efficiently processed. …”
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  8. 468

    Integration Method with Backpropagation by Nidhal AL-Assady, Jamal Majeed, Shahbaa Khaleel

    Published 2005-06-01
    “…In this research, a new method is discovered (combined method) to accelerate the backpropagation network by using the expected values of source units for updating weights, we mean the expected value of unit by the sum of the output of the unit and its error term multiplied by the factor Beta to accelerate the algorithm and also adjust the value of learning coefficient continuously if the value of energy function E decreases the learning rate is increased by a factor , if the value of the energy function E increases , the value of the learning rate is decreased by a factor . …”
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    Article
  9. 469

    Evaluating conventional and renewable energy systems for green buildings: A case study on energy efficiency and cost optimization by Karim Mohamed Ragab, Mehmet Fatih Orhan

    Published 2024-11-01
    “…This study explores two primary categories of power generation: conventional methods reliant on fossil fuels and renewable energy methods. …”
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    Article
  10. 470
  11. 471

    An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

    Published 2024-12-01
    “…The soil salinity was estimated with the multi-source remote sensing satellite data by combining the extreme gradient boosting model (XGBoost), Optuna hyper-parameter optimization, and Shapley addition (SHAP) interpretable model. …”
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    Article
  12. 472

    Integrated computational and experimental evaluation of thermal optimization in energy pile groups in soft clay by Thiti Chanchayanon, Susit Chaiprakaikeow, Apiniti Jotisankasa, Shinya Inazumi

    Published 2025-09-01
    “…Energy piles, combining building foundations with ground source heat pump (GSHP) systems, offer a sustainable thermal solution for urban buildings. …”
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    Article
  13. 473
  14. 474

    Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

    Published 2025-09-01
    “…Ground source heat pump (GSHP) has recently gained a great attention because of its efficient utilization of geothermal energy for building cooling and heating. …”
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    Article
  15. 475

    Effects of Control for Electronic Expansion Valve on Performance of Air-source Heat-pump Water Heater by Yu Zhongyang, Tao Leren, Yuan Chaoyang, Wang Chao

    Published 2017-01-01
    “…The maximum optimization ratio on system COP for the method of controlling the electronic expansion valve via the superheated temperature in the compressor suction (optimization #2) is lower than that for optimization #1, at 4.2%. …”
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  19. 479

    Research on multi-stage optimization planning of power internet of things based on seagull optimization algorithm by Peng Ye, Guanxian Liu, Shuo Yang, Shaotao Guo, Huan Wang, Yi Zhao, Mingli Zhang

    Published 2025-04-01
    “…The method models the IES based on electric, gas, and thermal buses, considering the coupling, storage, and conversion of multiple energy sources. …”
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  20. 480

    Segmentation Performance and Mapping of Dunes in Multi-Source Remote Sensing Images Using Deep Learning by Pengyu Zhao, Jiale An, Jianghua Zheng, Wanqiang Han, Nigela Tuerxun, Bochao Cui, Xuemi Zhao

    Published 2025-03-01
    “…However, the diversity and complexity of the dune morphology present significant challenges when using traditional classification methods, particularly in feature extraction, model parameter optimization, and large-scale mapping. …”
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    Article