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  1. 4481

    FT-IR Analysis of Beta vulgaris Peels and Pomace Dye Extracts and Surface Analysis of Optimally Dyed-Mordanted Cellulosic Fabrics by Vincent Rotich, Phanice Wangila, Jackson Cherutoi

    Published 2022-01-01
    “…Response surface methodology (RSM) was employed in the optimization of dyeing temperature (T), time (t), and pH, as well as applying the relative percent change in colour strength (ΔE) of dyed fabrics as the response. …”
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  2. 4482

    Genetic Algorithm-Based Particle Swarm Optimization Approach to Reschedule High-Speed Railway Timetables: A Case Study in China by Mingming Wang, Li Wang, Xinyue Xu, Yong Qin, Lingqiao Qin

    Published 2019-01-01
    “…A genetic algorithm-based particle swarm optimization algorithm is developed where position vector and genetic evolution operators are reconstructed based on departure and arrival time of each train at stations. …”
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  3. 4483

    Optimization of Low-Calorific Coal Application at Different Loads in 600 MW Supercritical Thermal Power Plant with the PROMETHEE-GAIA Method by Ali Riza Motorcu, Hülya Demirören, Aykut Emir

    Published 2024-09-01
    “…The optimization study concluded that a 450 MW load with a 14.6% domestic coal feed rate is the most suitable alternative.…”
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  4. 4484

    Removal of Zn(II), Cu(II) and Pb(II) from Rainwater by White Bean Peel: Optimization by Response Surface Methodology by Gonçalo H. Cabral, Ana C. Estrada, Patrícia S. M. Santos

    Published 2025-01-01
    “…A uniform experimental design was used to evaluate the sorption and to optimize the removal process by response surface methodology. …”
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  5. 4485

    Joint intelligent optimization design of the active region and electron blocking layer for AlGaN-based deep ultraviolet LEDs by Jinglei Wang, Huimin Lu, Jianhua Ma, Yifan Zhu, Zihua Zhang, Tongjun Yu, Xuecheng Wei, Hua Yang, Jianping Wang

    Published 2025-01-01
    “…This method focuses on maximizing the IQE of the DUV LEDs by optimizing the geometric and material parameters of multiple QWs (MQWs) and EBL. …”
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  6. 4486

    A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

    Published 2025-01-01
    “…The proposed model uses various optimization techniques, such as 10 fold cross validation, grid search method etc. to get the best results out of the ensemble model. …”
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  7. 4487
  8. 4488

    Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm by Bo Gao, Zhihui Bai, Yubo Song

    Published 2021-01-01
    “…The results show that the improved algorithm has a good optimization ability and can accurately and efficiently determine the optimal placement of sensors.…”
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  9. 4489
  10. 4490

    Optimal Injection Parameters for Enhancing Coalbed Methane Recovery: A Simulation Study from the Shizhuang Block, Qinshui Basin, China by Du Liu, Longyong Shu, Yanbin Wang, Zhonggang Huo, Shihu Zhao, Xing Xiong

    Published 2022-01-01
    “…Based on the economic benefit of CBM production, the production increasing rate and nitrogen replacement ratio were established to optimize the N2 injection parameters. The results show that (1) the production injection well spacing had the greatest influence on CBM production, followed by injection duration and the bottom-hole injection pressure, and injection timing and injection rate had a relatively small influence. (2) With increasing gas injection duration, injection rate, and the bottom-hole injection pressure, the rate of production increased and the nitrogen replacement ratio decreased. (3) The optimal N2 injection scheme was revealed with the production injection well spacing of 180 m, the injection timing of a second year after gas production, an injection duration of 7 years, an injection rate of 5000 m3/d, and a bottom-hole injection pressure of 10 MPa. …”
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  11. 4491

    From Waste to Value: Optimization of Ultrasound-Assisted Extraction of Anthocyanins and Flavonols from <i>Pistacia lentiscus</i> L. Oilcakes by Lucrezia Muti, Luana Beatriz dos Santos Nascimento, Giulia Goracci, Cassandra Detti, Cecilia Brunetti, Anna Rita Bilia, Francesco Ferrini, Antonella Gori

    Published 2025-01-01
    “…A Fractional Factorial Design (FFD) followed by a Box–Behnken design (BBD) were applied to optimize the yield of anthocyanins and flavonols. The optimal extraction conditions found were to be an extraction time of 15 min with 70% ethanol as the solvent and a liquid-to-solid ratio of 0.012 L g<sup>−1</sup>, which resulted in a maximum extraction yield of 19.78 mg g<sup>−1</sup> dry extract for the Total Flavonol Content and over 25.4 mg g<sup>−1</sup> dry extract for the Total Flavonol and Anthocyanin Content. …”
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  15. 4495

    Enhancing Malaria Control Strategy: Optimal Control and Cost-Effectiveness Analysis on the Impact of Vector Bias on the Efficacy of Mosquito Repellent and Hospitalization by Iffatricia Haura Febiriana, Abdullah Hasan Hassan, Dipo Aldila

    Published 2024-01-01
    “…Using the Pontryagin maximum principle, we characterize our optimal control problem. Several scenarios are conducted to observe the dynamics of control variables under different circumstances. …”
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  18. 4498

    Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation by Yong Wang, Hongguo Cai, Yinghua Liao, Jun Gao

    Published 2020-01-01
    “…As for such differences, this paper adopts intelligent algorithm to design the parameters of the transmission system and introduces the genetic algorithm into the optimization design of parameters to obtain the optimal vital parameters of the power transmission system based on computer simulation. …”
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  19. 4499

    Optimized Adaptive Neuro-Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement Prediction by Xinni Liu, Sadaam Hadee Hussein, Kamarul Hawari Ghazali, Tran Minh Tung, Zaher Mundher Yaseen

    Published 2021-01-01
    “…The predictive models were various nature-inspired frameworks, such as differential evolution (DE), particle swarm optimization (PSO), genetic algorithm (GA), and ant colony optimizer (ACO) to tune the adaptive neuro-fuzzy inference system (ANFIS). …”
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  20. 4500

    Optimizing bioethanol production from sweet sorghum stem juice under very high gravity fermentation and temperature stress conditions by Phon Thatiyamanee, Pattana Laopaiboon, Lakkana Laopaiboon

    Published 2025-03-01
    “…The experimental values (PE, 119.29 g/L; QP, 2.49 g/L.h and %SC, 91.83 %) under optimal conditions were close to the predicted values, verifying the optimization process. …”
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