Showing 221 - 240 results of 4,853 for search 'findings parameter optimization', query time: 0.17s Refine Results
  1. 221

    Identifying the impact of key parameters on the drying kinetics of onion (Allium cepa L.) slices by P. Kiran Kumar, Konijeti Ramakrishna, Sai Akshara Vemuri, Sireesha Koneru, Bandhavi Challa, Atul Singla, Nitin Duklan, Haider Alabdeli

    Published 2025-12-01
    “…The findings illustrate that the temperature parameter exerts the most substantial influence on onion slice drying, contributing to 78.13% of drying time reduction and 51.33% in moisture ratio variation. …”
    Get full text
    Article
  2. 222

    Discrete Element Simulation Parameter Calibration of Wheat Straw Feed Using Response Surface Methodology and Particle Swarm Optimization–Backpropagation Hybrid Algorithm by Zhigao Hu, Hao Li, Xuming Shi, Lingzhuo Kong, Xiang Tian, Shiguan An, Bin Feng, Juan Ma

    Published 2025-07-01
    “…The PSO-BP model exhibited superior optimization performance compared to RSM, yielding an optimal parameter combination of 0.17, 0.46, and 0.03. …”
    Get full text
    Article
  3. 223

    Is It Sufficient to Select the Optimal Class Number Based Only on Information Criteria in Fixed- and Random-Parameter Latent Class Discrete Choice Modeling Approaches? by Péter Czine, Péter Balogh, Zsanett Blága, Zoltán Szabó, Réka Szekeres, Stephane Hess, Béla Juhász

    Published 2024-08-01
    “…We compared models using commonly used indicators such as the Bayesian information criterion, and we took into account, among others, a seemingly simple but often overlooked indicator such as the ratio of significant parameter estimates. Based on our results, it is not sufficient to decide on the optimal number of classes in the latent class modeling based on only information criteria. …”
    Get full text
    Article
  4. 224
  5. 225
  6. 226

    Experimental investigation and laser control in Ti10Mo6Cu powder bed fusion: optimizing process parameters with machine learning by Ouf A. Shams, Hanan B. Matar Al-Baity, Luttfi A. Al-Haddad

    Published 2025-07-01
    “…Abstract Laser Powder Bed Fusion (LPBF) is a key additive manufacturing technique, yet achieving optimal track formation remains a challenge due to the complex interplay of laser parameters. …”
    Get full text
    Article
  7. 227
  8. 228

    Optimizing laser parameters and exploring building direction dependence of corrosion behavior in NiTi alloys fabricated by laser powder bed fusion by Xiaolong Zhang, Tong Chang, Hongyi Chen, Shupeng Wang, Yanan Yang, Shihui Zhou, Chaozong Liu, Zhihui Zhang

    Published 2024-11-01
    “…The microstructure and materials performance of Laser Powder Bed Fusion-fabricated (LPBFed) NiTi shape memory alloys (SMAs) varies depending on the laser parameters and building directions. This study initially optimized the laser processing parameters (laser power and scanning speed) for LPBFed NiTi SMAs to enhance their printing quality and mechanical properties. …”
    Get full text
    Article
  9. 229

    Multi-objective optimization of laser machining parameters for carbon-glass reinforced hybrid composites: Integrating gray relational analysis, regression, and ANN by Ashish A Desai, S.N. Khan, Pooja Bagane, Sagar Dnyandev Patil

    Published 2024-12-01
    “…Using the Taguchi L27 orthogonal array, one can methodically investigate how different parameters affect CGFRP cutting. GRA is used in optimization to find the best parameter combinations and highlight important parameters. …”
    Get full text
    Article
  10. 230

    Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

    Published 2025-10-01
    “…This paper presents a study on multi-objective optimization (MOO) of shield operational parameters (SOPs) for soft ground tunneling using a tunnel boring machine (TBM) in an urban environment, focusing on the case study of the MRT Blue Line in Bangkok. …”
    Get full text
    Article
  11. 231

    Feature Importance Analysis for Compressive Bearing Capacity of HSCM Piles Based on GA-BPNN by Fangzhou Chu, Jiakuan Ma, Yang Luan, Shilin Chen

    Published 2025-08-01
    “…Laboratory tests further confirm strong correlations between cement–soil strength <i>C</i><sub>ref</sub>, formed pile diameter <i>D</i><sub>sc</sub>, and bearing capacity. The findings indicate that the GA-BPNN model provides an efficient and accurate approach for predicting the bearing capacity of HSCM piles, offering a reliable basis for engineering parameter optimization.…”
    Get full text
    Article
  12. 232
  13. 233

    Optimizing Scalp Cooling: (Ultra)Structural Follicular Characteristic and Restorative Advances by Schaffrin-Nabe D, Josten-Nabe A, Heinze A, Tannapfel A, Schaffrin M, Voigtmann R

    Published 2025-06-01
    “…While these require further clinical validation, the findings highlight the potential to improve scalp cooling outcomes and raise the standard of supportive oncologic care.Keywords: scalp cooling, chemotherapy-induced alopecia, hair shaft integrity, trichological parameters, cuticle damage, therapeutic optimization…”
    Get full text
    Article
  14. 234

    Optimization of process parameters in 3D-nanomaterials printing for enhanced uniformity, quality, and dimensional precision using physics-guided artificial neural network by Anita Ghandehari, Jorge A. Tavares-Negrete, Jerome Rajendran, Qian Yi, Rahim Esfandyarpour

    Published 2024-12-01
    “…A key challenge in this domain is optimizing process parameters—applied pressure, ink concentration, nozzle diameter, and printing velocity—to achieve uniform, high-quality prints with the desired filament diameter. …”
    Get full text
    Article
  15. 235

    Optimization of Vertical Ultrasonic Attenuator Parameters for Reducing Exhaust Gas Smoke of Compression–Ignition Engines: Efficient Selection of Emitter Power, Number, and Spacing... by Adil Kadyrov, Łukasz Warguła, Aliya Kukesheva, Yermek Dyssenbaev, Piotr Kaczmarzyk, Wojciech Klapsa, Bartosz Wieczorek

    Published 2025-07-01
    “…This article presents experimental results of the effects of ultrasonic emitter parameters, including the number, arrangement, and power, along with the engine speed, on the exhaust smoke density. …”
    Get full text
    Article
  16. 236

    Concept design, application and optimization of operational parameters for new forced safety injection tank system [version 2; peer review: 2 approved] by Hyun Gook Kang, Asad Ullah Amin Shah, Ali Mansoor, Junyung Kim

    Published 2025-05-01
    “…As the proposed design is a conceptual design, the optimization of associated operational parameters and set points is necessary. …”
    Get full text
    Article
  17. 237

    Optimization of 3D Extrusion Printing Parameters for Raw and Extruded Dehulled Andean Fava Bean Flours Using Response Surface Methodology (RSM) by Grimaldo Wilfredo Quispe Santivañez, Henry Juan Javier Ninahuaman, Joselin Paucarchuco Soto, Maria Teresa Pedrosa Silva Clerici, Rebeca Salvador-Reyes

    Published 2025-02-01
    “…This study optimizes the 3D extrusion printing parameters—water-to-flour ratio (X<sub>1</sub>), temperature (X<sub>2</sub>), and printing speed (X<sub>3</sub>)—for raw (RFB) and extruded (EFB) dehulled Andean fava bean flours to maximize print quality and minimize structural defects. …”
    Get full text
    Article
  18. 238

    Optimization process parameters in laser welding of CLF-1/316LN-IG dissimilar steels for improved welded joint formation and mechanical performance by Hangbiao Mi, Jianguo Ma, Shinong Liao, Pengcheng You, Lingyun Feng, Qingyong Liu, Wei Guo, Binyan He

    Published 2025-09-01
    “…The focus of this work is primarily on the optimization of the key process parameters to ensure welded joints integrity and mechanical performance. …”
    Get full text
    Article
  19. 239
  20. 240

    The performance evaluation of chaotic maps in estimating the shape parameters of radial basis functions to solve partial differential equations by Javad Alikhani Koupaei, Mohammad Javad Ebadi, Majid Iran Pour

    Published 2024-06-01
    “…In the first stage, the FCW algorithm is utilized to obtain the optimal shape parameter for radial basis functions, followed by the Kansa method in the second stage to estimate the Root Mean Square (RMS) error for approximate solutions.Findings: Numerical results indicate that approximately 95% of the results obtained from two partial differential equations using PSO and FCW algorithms are similar. …”
    Get full text
    Article