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  1. 221

    Optimizing water management in greenhouse farming through an IoT-enabled monitoring system by Abdelrahman A. El-Sheshny, Amal M. Abdel-Hameed, M. A. Al-Rajhi, Hamed G. Ghanem, Taha M. Elzanaty, Mostafa H. Fayed

    Published 2025-08-01
    “…Green bean yield significantly varied between irrigation methods. SDI yield ranged from 25.425 to 28.719 $${\text{t ha}}^{-1}$$ t ha - 1 , with the highest (28.719 $${\text{t ha}}^{-1}$$ t ha - 1 ) at 80% CWR (T3). while the SSDI yield ranged from 24.390 to 33.614 $${\text{t ha}}^{-1}$$ t ha - 1 , with the maximum 33.614 $${\text{t ha}}^{-1}$$ t ha - 1 recorded under 80% CWR (T4). …”
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  2. 222

    Optimized design of high-strength leaf chain based on response surface methodology by LIU Meiqi, FENG Zengming, ZHOU Zhidi

    Published 2025-01-01
    “…MOGA was then applied for multi-objective optimization targeting both fatigue life and maximum stress.ResultsAfter optimization, the fatigue life of the BL634 leaf chain increased from 2.25×10<sup>6</sup> to 1.34×10<sup>7</sup> cycles, representing a 495.6% increase, while the maximum equivalent stress decreased by 11.6% to 632.96 MPa. …”
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  3. 223

    De-speckling of medical ultrasound image using metric-optimized knowledge distillation by Mostafa Khalifa, Hanaa M. Hamza, Khalid M. Hosny

    Published 2025-07-01
    “…This noise varies with image intensity, which limits the effectiveness of traditional denoising methods. We introduce the Metric-Optimized Knowledge Distillation (MK) model, a deep-learning approach that utilizes Knowledge Distillation (KD) for denoising ultrasound images. …”
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  4. 224

    Choosing the optimal dilution medium for pooled platelet concentrates, thawed after cryopreservation by M. S. Makarov, M. V. Storozheva, N. V. Borovkova, A. Yu. Bulanov, I. N. Ponomarev

    Published 2025-08-01
    “…Background. The current methods of cryopreservation, working with pooled platelet concentrates (PPC), require optimization. …”
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  5. 225

    Optimization of The Budget of The Industrial Complex Transformation Strategy Based on Neural Network Modeling by A. G. Boev, A. G. Puzakov, Yu. P. Anisimov

    Published 2022-06-01
    “…A methodological technique has been developed that allows choosing the optimal option for allocating the strategy budget funds between the key areas of transformation of the industrial complex, characterized by the use of neural network modeling technologies and providing the greatest increase in revenue and labor productivity while maintaining the financial and economic stability of the enterprise. …”
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  6. 226
  7. 227

    Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

    Published 2025-01-01
    “…The proposed model enhances the structural expressiveness of the sparse component while preserving the global low-rank structure. To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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  8. 228
  9. 229

    POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks by Tamilarasan Ananth Kumar, Rajendirane Rajmohan, Sunday Adeola Ajagbe, Oluwatobi Akinlade, Matthew Olusegun Adigun

    Published 2025-07-01
    “…The experiments demonstrate that the proposed model reduces transmission energy consumption by 27.5% compared to baseline methods while maintaining the latency below 15 ms in ultra-dense scenarios. …”
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  10. 230
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    Optimization of sludge recirculation for sustainable water treatment at Ait Massoud dam Morocco by Radouane El Amri, Rajaa Zahnoune, Otmane Boudouch, Reda Elkacmi

    Published 2025-07-01
    “…A techno-economic analysis revealed that applying this method on the scale of the plant (6 000 m3/h) would result in daily savings of around 3,715 euros, while reducing the disposal of almost 7,200 m3/day of sludge, thus helping to reduce the environmental footprint. …”
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  12. 232

    Constraint-aware wind power forecasting with an optimized hybrid machine learning model by Md. Omer Faruque, Md. Alamgir Hossain, S.M. Mahfuz Alam, Muhammad Khalid

    Published 2025-07-01
    “…Additionally, the proposed optimization techniques were bench-marked against the Bayesian optimization process (BOP) with a tree prazen sampler and particle swarm optimization (PSO). …”
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  15. 235

    Impact of optimal therapy for noncommunicable diseases on the course and outcome of COVID-19 inpatients by I. A. Frolova, E. I. Tarlovskaya, S. V. Romanov, O. P. Abaeva, A. A. Frolov

    Published 2022-04-01
    “…To carry out a comparative analysis of the impact of optimal and suboptimal therapy for noncommunicable diseases (NCDs) at the prehospital stage on the severity and outcomes of coronavirus disease 2019 (COVID-19).Material and methods. …”
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  16. 236
  17. 237

    OPTNet: Optimized Pixel-Transformer Model for Adaptive Retinal Fundus Image Enhancement by Faisal Majed Alqahtani, Somaya Adwan, Mohd Yazed Ahmad, Salmah Binti Karman

    Published 2025-01-01
    “…This study introduces OPTNet, an optimized pixel-wise transformer model designed to efficiently enhance degraded or low-quality retinal images. …”
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  18. 238

    Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

    Published 2025-04-01
    “…However, when using machine learning methods for population spatialization, issues such as data overfitting and limited interpretability need to be addressed. …”
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  19. 239

    Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

    Published 2025-07-01
    “…They focus mainly on heuristics and deep reinforcement learning methods without the provision of performance guarantees, which are required in many real-world applications. …”
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  20. 240

    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Lamees Mohammad Dalbah, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Raed Abu Zitar

    Published 2022-09-01
    “…Due to the complex nature of the capacitated vehicle routing problem, metaheuristic optimization algorithms are widely used for tackling this type of challenge. …”
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