Showing 141 - 160 results of 4,853 for search 'findings parameter optimization', query time: 0.17s Refine Results
  1. 141

    Hybrid taguchi-grey relational analysis approach for optimizing cutter operational parameters in selective cauliflower harvesting by Ajay Kushwah, P. K. Sharma, H. L. Kushwaha, Brij Bihari Sharma, A. K. Shrivastava, Ramineni Harsha Nag, Manojit Chowdhury, Gopal Carpenter, Rashmi Yadav

    Published 2024-11-01
    “…The findings indicated that the feed force was the major parameter that influenced the cutting force, splitting failure levels, and cutting time. …”
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  2. 142
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  4. 144

    Optimization of extraction parameters and anti-hyperglycemic assessment of standardized extract from Santalum album L. leaves by Phan Thi Kim Phung, Dang Ngoc Lam Binh, Nguyen Thi Anh Thu, Nguyen Van Ha, Tran Thi Huyen, Khuu Minh Hien, Mai Huynh Nhu, Ngo Kien Duc, Le Minh Quan

    Published 2025-03-01
    “…Materials and methods: The extraction parameters for vitexin and isovitexin were optimized using response surface methodology. …”
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  5. 145
  6. 146

    Optimization of Machining Parameters for Reducing Drum Shape Error Phenomenon in Wire Electrical Discharge Machining Processes by Shih-Ming Wang, Li-Jen Hsu, Hariyanto Gunawan, Ren-Qi Tu

    Published 2024-12-01
    “…The system can predict the optimal parameter combinations to minimize the shape error and increase the MRR. …”
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  7. 147
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  9. 149

    Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

    Published 2024-12-01
    “…Moreover, by coupling the BP network with the Golden Jackal Optimization (GJO) algorithm, a BP-GJO optimization model is developed to refine the structural parameters. …”
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    Article
  10. 150
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    The Effects of Post-Processing and Geometric Parameters on the Compressive Strength of Additively Manufactured Resin Lattice Structures by Chance Hattrick

    Published 2025-07-01
    “…Longer cure times, shorter wash and pre-cure times, and smaller edge lengths significantly improve structural performance. These findings offer a holistic view of how post-processing and design choices impact mechanical behaviour, and they provide predictive models to help researchers optimize lattice structures for specific performance goals in additive manufacturing applications. …”
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  12. 152

    Experimental Study and Optimization of Shredding Speed to Improve the Efficiency of Small-Sized Disc Shredder for Plant Residues by Vitaliy V. Krasovskiy, Yuriy B. Gerber

    Published 2025-03-01
    “…The study focuses on finding the optimal operating modes for a disc shredder operation to minimize energy consumption while achieving the required performance. …”
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  13. 153

    Enhancing EDM machining of Inconel: integrating Taguchi, ANOVA, and CoCoSo, MABAC, CODAS for parameter and tool optimization by Jana Sai Ram, Jeavudeen Shiek, M. Abdur Rahman

    Published 2025-04-01
    “…Utilizing Taguchi and ANOVA methods with an L9 Orthogonal Array, the study identified optimal parameter combinations for each response. …”
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    Article
  14. 154

    A Novel Method of Parameter Identification for Lithium-Ion Batteries Based on Elite Opposition-Based Learning Snake Optimization by Wuke Li, Ying Xiong, Shiqi Zhang, Xi Fan, Rui Wang, Patrick Wong

    Published 2025-05-01
    “…This paper shows that lithium-ion battery model parameters are vital for state-of-health assessment and performance optimization. …”
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  15. 155

    Investigation into the supply-demand relationship of carbon sequestration in the yellow river basin using the optimal parameter geographical detector model by Heng Zhao, Yingying Gai, Fuqiang Wang, Lanbo Cui, Yutian Du, Heng Wang, Lei Tang, Huan Yang

    Published 2025-08-01
    “…Additionally, the advanced Optimal Parameter Geodetector (OPGD) model was employed to explore the carbon sequestration service demand-supply relationship (CSSDR) and its driving mechanisms. …”
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  16. 156

    Novel Gaussian-Decrement-Based Particle Swarm Optimization with Time-Varying Parameters for Economic Dispatch in Renewable-Integrated Microgrids by Yuan Wang, Wangjia Lu, Wenjun Du, Changyin Dong

    Published 2025-07-01
    “…An improved particle swarm optimization algorithm with time-varying parameters of the inertia weight and learning factor was designed to solve the optimal dispatching strategy. …”
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  17. 157

    An Approach to Motor Winding Optimization for HEFS Machine-Based Integrated On-Board Charging Systems by Minghao Tong, Yudong Chen, Le Sun

    Published 2024-11-01
    “…Then, the comprehensive optimization process for the winding parameters of the HEFS motors in the integrated charging system is presented. …”
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  18. 158

    Optimization of process parameter for green die sinking electrical discharge machining: a novel hybrid decision-making approach by Jagadish, Divya Zindani, Arun Selvam, Ghanshyam G. Tejani, A. Johnson Santhosh

    Published 2025-04-01
    “…Aligning with the UN Sustainable Development Goals (SDGs) for Good Health & Well-being (SDG 3) and Responsible Consumption & Production (SDG 12), it is crucial to optimize EDM to reduce its environmental impact. This study introduces a Decision Support System (DSS) that uses a new approach to prospect theory based on exponential-logarithmic single-valued neutrosophic sets (± Log-SVNS) to find the best EDM parameters for “green” die-sinking EDM. …”
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  19. 159

    Optimization of Gray Level Co-occurrence Matrix (GLCM) Texture Feature Parameters in Determining Rice Seed Quality by Aji Setiawan, Adam Arif Budiman

    Published 2025-06-01
    “…These findings demonstrate that optimizing GLCM parameter settings directly contributes to improved classification performance, highlighting the method's potential for enhancing rice seed quality assessment. …”
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  20. 160

    Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach by Raja S, Praveenkumar V, Maher Ali Rusho, Simon Yishak

    Published 2024-12-01
    “…Additionally, the impellers produced demonstrated superior surface finish and structural integrity, making them suitable for high-performance applications. These findings underscore the importance of parameter optimization in enhancing the performance of 3D-printed components, particularly for applications requiring high mechanical strength and precision.…”
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