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  1. 1081

    Experimental study on water migration in unsaturated loess under an electric field: optimization of electrode material by Dan Jiao, Zhiheng He, Zhiheng He, Tiehang Wang, Yonggang Zhang

    Published 2025-06-01
    “…Electroosmosis method is an environmentally friendly and low-carbon foundation treatment technique that can quickly improve soil shear strength. …”
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    Article
  2. 1082
  3. 1083

    Optimizing protein-ligand docking through machine learning: algorithm selection with AutoDock Vina by Ala’ Omar Hasan Zayed

    Published 2025-07-01
    “…While numerous algorithms exist for protein-ligand docking, achieving an optimal balance between accuracy and computational speed remains challenging. …”
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    Article
  4. 1084

    Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

    Published 2025-07-01
    “…PCA kept 12 components while maintaining 95% of the variance in the dataset. …”
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    Article
  5. 1085

    Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

    Published 2025-07-01
    “…To fine-tune model parameters efficiently, the method incorporates the Chaotic Billiards Optimizer (CBO) alongside the Adam optimizer. …”
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  6. 1086

    Numerical study on heat extraction performance and parameter optimization of a U-shaped geothermal well by Qian Gao, Zhaoxu Han, Yuanhong Han, Desheng Zhou, Ahmad Ghassemi, Huagui Yu

    Published 2025-07-01
    “…The Grey Relational Analysis method was applied to rank the influence of these parameters on outlet temperature and heat extraction efficiency, followed by optimization to identify the optimal operating parameters. …”
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    Article
  7. 1087

    Optimizing Herbicide Use in Fodder Crops with Low-Cost Remote Sensing and Variable Rate Technology by Luís Alcino Conceição, Luís Silva, Susana Dias, Benvindo Maçãs, Adélia M. O. Sousa, Costanza Fiorentino, Paola D’Antonio, Sofia Barbosa, Salvatore Faugno

    Published 2025-02-01
    “…The weed population and crop biomass were assessed to evaluate the efficiency of the proposed method. Results revealed that the VRA method reduced herbicide usage by 30% (0.22 l ha<sup>−1</sup>) compared to the FRA method, while maintaining comparable crop production. …”
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  8. 1088
  9. 1089

    Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

    Published 2025-03-01
    “…Each source image is guided through guided filtering using Gaussian curvature as guidance. While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method,  for which the objective function is maximization of entropy, edge strength and pixel intensity. …”
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    Article
  10. 1090

    Optimizing Fingerprint Identification: CNNs With Raw Images Versus Handcrafted Features for Real-Time Systems by Shaik Salma, Tauheed Ahmed, Garimella Ramamurthy

    Published 2025-01-01
    “…A similarity-based matching mechanism with an optimal threshold of 0.8, determined through Receiver Operating Characteristic (ROC) curve analysis, was employed for classification. …”
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  11. 1091

    Composite Learning-Based Inverse Optimal Fault-Tolerant Control for Hierarchy-Structured Unmanned Helicopters by Qingyi Liu, Ke Zhang, Bin Jiang, Yushun Tan

    Published 2025-05-01
    “…This article investigates the inverse optimal fault-tolerant formation-containment control problem for a group of unmanned helicopters, where the leaders form a desired formation pattern under the guidance of a virtual leader while the followers move toward the convex hull established by leaders. …”
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  12. 1092

    Incorporating Risk in Operational Water Resources Management: Probabilistic Forecasting, Scenario Generation, and Optimal Control by Ties van derHeijden, Miguel Angel Mendoza‐Lugo, Peter Palensky, Nick van deGiesen, Edo Abraham

    Published 2025-03-01
    “…Recognizing the limitations of deterministic methods in the face of weather, energy system, and market uncertainties, we propose a scalable stochastic Model Predictive Control (MPC) framework that integrates probabilistic forecasting, scenario generation, and stochastic optimal control. …”
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  13. 1093

    PSYCHOPEDAGOGICAL AND METHODOLOGICAL ANALYSIS OF CONTINUING PROFESSIONAL TRAINING: TOWARDS AN OPTIMIZATION OF DIDACTIC PRACTICES IN EDUCATIONAL SCIENCES by Ala Eddine BAKHOUCH

    Published 2024-12-01
    “…An empirical and qualitative methodology, based on descriptive analysis of case studies and teacher groups, highlights current trends and optimal improvement methods.…”
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  14. 1094

    OPTIMIZATION OF WATER RESOURCES UTILIZATION DISTRIBUTION FOR AGRICULTURAL BENEFITS IN THE CLAMPIS IRRIGATION AREA SAMPANG DISTRICT by Fairus Zabadi

    Published 2023-06-01
    “…Factors to determine the need for irrigation water include land preparation, consumptive use, percolation and seepage, replacement of water layers, and effective rainfall. While the method used in this study is optimization using a linear program using the Solver facility in Microsoft Excel with the aim of optimizing the availability of irrigation water so as to produce maximum profits and distribution of irrigation utilization that is more effective and efficient. …”
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  15. 1095

    Enhanced neuromorphogenesis of neural stem cells via the optimization of physical stimulus-responsive signaling pathways by Youyi Tai, Natasha Brinkley, Lu Jin, Yu Wei Chang, Allen Liakhovetski, Jin Nam

    Published 2025-07-01
    “…Abstract Background Neural stem cells hold significant promise for developing in vitro nerve models due to their capacity to differentiate into diverse neural cell types. While traditional biochemical approaches often restrict differentiation to a single phenotype, limiting the ability to study critical neuron-glia interactions, physical stimuli have been explored due to their capacity to drive multi-phenotypic differentiation of neural stem cells. …”
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    Article
  16. 1096

    Weighted explainable federated learning for privacy-preserving and scalable energy optimization in autonomous vehicular networks by Muhammad Saleem, Ali Arishi, Muhammad Sajid Farooq, M.A. Khan, Khan M. Adnan

    Published 2025-09-01
    “…The framework also integrates Explainable AI (XAI) methods to improve interpretability, transparency, and regulatory compliance. …”
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  17. 1097
  18. 1098

    Determination of similar material proportions based on orthogonal experiments and neural network optimization in the goaf area by Shengdi Wang, Junzhi Chen, Yonggang Zhang, Xiaowei Qiao, Zhiping Zhang, Xin Wang

    Published 2025-04-01
    “…This paper used orthogonal experiments and multi factor optimization methods to study the optimal mixing ratio of similar materials for limestone surrounding rock in a goaf of a certain iron mine in Yunnan, and introduced a new material combination (quartz, cement, gypsum, barite, and glycerol), and utilized orthogonal experiments alongside machine learning techniques for predictive analysis. …”
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    Article
  19. 1099

    Optimal Design of Linear Quadratic Regulator for Vehicle Suspension System Based on Bacterial Memetic Algorithm by Bala Abdullahi Magaji, Aminu Babangida, Abdullahi Bala Kunya, Péter Tamás Szemes

    Published 2025-07-01
    “…An LQR control system adjusts the suspension’s behavior by determining the optimal feedback gains using BMA. The control objective is to significantly reduce the random vibration and oscillation of both the vehicle and the suspension system while driving, thereby making the ride smoother and enhancing road handling. …”
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  20. 1100

    Unscented transformation method for robustness verification of helicopter flight control system by LIU Changqi, LI Aijun, DUAN Guangzhan, LI Zuo

    Published 2025-06-01
    “…This method employs particle swarm optimization for determining the uncertain parameters. …”
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    Article