Showing 321 - 340 results of 4,920 for search 'sources optimization (method OR methods)', query time: 0.18s Refine Results
  1. 321

    The Impact of Green Finance on Agricultural Non-Point Source Pollution: Analysis of the Role of Environmental Regulation and Rural Land Transfer by Guobin Geng, Yang Shen, Chenguang Dong

    Published 2024-09-01
    “…Utilizing the entropy value method and the unit survey inventory method, the research measures the levels of green finance development and agricultural non-point source pollution. …”
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    Article
  2. 322

    Reserve optimization model of wind power with the coordination of multiple type electric power system sources by Han Zhang, Maoyuan Zhang, Xin Li, Chunwei Song

    Published 2025-07-01
    “…Abstract Aiming at the optimization problem of frequency regulation energy reserve cost faced by wind power stations participating in primary frequency regulation, a reserve optimization model of wind power based on DPGMM-LSTM with the coordination of multi-type electric power system sources is proposed. …”
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    Article
  3. 323

    Resilience-Oriented Optimization of Source-Grid-Load Flexible Resources in Distribution Systems: Review and Prospect by Zhuofei YU, Fei LIU, Ruihuan LIU, Chaofan LIN, Di WU, Houtao SUN, Chen CHEN, Zhaohong BIE

    Published 2022-04-01
    “…The categories and modeling methods of flexible resources on source-grid-load sides, as well as their applications in resilient distribution systems, are reviewed and discussed in detail. …”
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    Article
  4. 324

    Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees by Huifang Chen, Jingwei Wu, Chi Xu

    Published 2025-04-01
    “…Subsequently, machine learning methods such as random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and multiple linear regression (MLR) were employed, in combination with sensitive spectral indices, to develop a multi-source remote sensing soil salinity estimation model optimized for different salinization degrees (mild or lower salinization vs. moderate or higher salinization). …”
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    Article
  5. 325

    Optical Cryptanalysis Method Using Wavefront Shaping by Meihua Liao, Dajiang Lu, Wenqi He, Xiang Peng

    Published 2017-01-01
    “…In this paper, a practical optical cryptanalysis method using wavefront shaping is proposed. Considering that the confusion and diffusion of information in the optical cryptosystem are actually caused by scattering effect of random phase mask(s), the proposed method employs a point source function and the feedback-based optimization algorithm, which can obtain an equivalent key of the optical cryptosystem. …”
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    Article
  6. 326

    Software diversification method based on binary rewriting by Benwei HE, Yunfei GUO, Yawen WANG, Qingfeng WANG, Hongchao HU

    Published 2023-04-01
    “…Software diversity is an effective defense against code-reuse attacks, but most existing software diversification technologies are based on source code.Obtaining program source code may be difficult, while binary files are challenging to disassemble accurately and distinguish between code pointers and data constants.This makes binary file diversification difficult to generate high levels of randomization entropy, and easily compromised by attackers.To overcome these challenges, a binary file oriented software diversification method was proposed based on static binary rewriting technology, namely instruction offset randomization.This method inserted NOP instructions of varying byte lengths before program instructions with a certain probability, reducing the number of unintended gadgets in the program and randomly offsetting the original instruction address.This disrupts the program’s original memory layout and increases the cost of code-reuse attacks.At the same time, an optimization strategy based on hot code was designed for this method.The execution times of basic blocks in binary files were obtained by dynamic pile insertion, so as to adjust the NOP instruction insertion probability in each basic block.The higher the execution frequency, the fewer NOP instructions were inserted into the basic block, which can ensure lower performance overhead and produce higher randomization entropy.In the experimental part, the SPEC benchmark program was used to test the optimized method from the aspects of performance overhead, gadget survival rate and file size.The results show that a 15% insertion probability achieves the best effect, with an average gadget survival rate of less than 1.49%, increasing attackers’ difficulty in reusing the same gadget attack chain.Furthermore, only a 4.1% operation overhead and 7.7% space overhead are added, maintaining high levels of security.…”
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  7. 327
  8. 328

    Probabilistic optimal power flow in wind energy integrated power system based on the K‐medoids data clustering method considering correlated uncertain variables by Saeed Badoozadeh, Nazila Nikdel, Sadjad Galvani, Mohammad Farhadi‐Kangarlu

    Published 2023-10-01
    “…The probabilistic assessment is conducted by the K‐medoids method and the optimization problem is solved by the cooperation search algorithm (CSA) as an efficient evolutionary algorithm. …”
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    Article
  9. 329

    A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations by PENG Zhuyi, SONG Shan, XU Sixuan, GU Kanghui, GE Yi, WANG Quanquan, SUN Wentao

    Published 2025-05-01
    “…Traditional clustering methods based on source-load information struggle to accurately describe the time-sequenced operational characteristics of renewable energy power systems. …”
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  10. 330

    Graph-based method for constructing consensus trees by Torquet Elio, Jansson Jesper, Tahiri Nadia

    Published 2025-01-01
    “…In this paper, we extend PrimConsTree, an graph-based method for constructing consensus trees. This algorithm incorporates topological information, edge frequency, clade frequency, and branch length to construct a more robust and comprehensive consensus tree. …”
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  11. 331

    EXPERIMENTAL TESTING OF AN IN VIVO METHOD OF PHOTOTOXICITY EVALUATION by V. А. Vavilova, E. V. Shekunova, V. A. Kashkin, M. N. Makarova, V. G. Makarov, A. Ya. Khaymenov

    Published 2018-06-01
    “…The purpose of this study was to test an economically viable and informative method for in vivo evaluation of tetracycline and ketorolac phototoxicity using outbred rats. …”
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  12. 332

    Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

    Published 2025-05-01
    “…The method’s optimization was carried out using the Box-Behnken design, whereas the optimized conditions were selected according to the desirability function. …”
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  13. 333

    Research on Thickness Error Optimization Method of Rolling System Based on Improved Sparrow Search Algorithm–Bidirectional Long Short-Term Memory Network–Attention by Qingyun Wu, Xinchen Li, Jiafei Ji, Bowen Xing

    Published 2024-10-01
    “…The experiments confirm the method’s effectiveness in improving the thickness accuracy of the rolling system and provide a new optimization scheme for the industry.…”
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  14. 334
  15. 335

    Multi-objective optimal probabilistic planning in distribution systems considering load growth by Ayat Saleh

    Published 2025-01-01
    “…A comprehensive stochastic strategy is offered for a number of uncertainties, such as load increase and output power from renewable energy sources. Two IEEE bus networks are used to illustrate the suggested method's efficacy. …”
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    Article
  16. 336

    Two‐stage stochastic robust optimal scheduling of virtual power plant considering source load uncertainty by Xiaohui Zhang, Yufei Liu

    Published 2024-12-01
    “…Abstract Aiming at the optimal scheduling problem of virtual power plant (VPP) with multiple uncertainties on the source‐load side, this paper proposes a two‐stage stochastic robust optimal scheduling method considering the uncertainty of the source‐load side. …”
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  17. 337

    Comparative analysis of geothermal and reservoir numerical simulation methods by GAI Changcheng, LI Hongda, REN Lu, CAO Wei, HAO Jie

    Published 2024-12-01
    “…By comparing the foundational mathematical models, numerical methods, and case studies of geothermal and reservoir simulations, this study highlights the similarities and differences in their application to the development of these two energy sources. …”
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  18. 338
  19. 339

    Multi-period, Multi-contingency and Interval Optimal Power Flow for Dimensioning and Allocation of Spinning Reserve by Ricardo Augusto Borba, Thelma Solange Piazza Fernandes

    Published 2025-07-01
    “…Abstract Due to their low environmental impact and decreasing costs, there has been significant growth in the use of renewable sources worldwide. However, their power generation fluctuates randomly, necessitating reliable energy supply methods. …”
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  20. 340

    Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimizatio... by Hanxuan Wang, Raman Kumar, Raman Kumar, Ashutosh Pattanaik, Rajender Kumar, Rajender Kumar, Ali Saeed Owayez Khawaf Aljaberi, Mayada Ahmed Abass

    Published 2025-08-01
    “…Findings indicate AI-based methods can expedite alloy design and performance optimization; however, challenges remain in data accessibility, model interpretability, and experimental validation. …”
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    Article