Showing 8,181 - 8,200 results of 20,658 for search '"optimization"', query time: 0.13s Refine Results
  1. 8181

    Flow characteristics in heated trapezoidal channels: A finite element method study of Reynolds number and fin design influences by Mohammed Riad Benouaz, Houssameddine Kandouci, Mohammed Ayad Alkhafaji, Noureddine Kaid, Alain M. Dikandé, Younes Menni, Giulio Lorenzini, Ali J. Chamkha

    Published 2025-01-01
    “…This study identifies that optimization of perforated fin geometries is a key strategy to achieve high efficiency in thermal management systems for effective cooling of engineering applications.…”
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  2. 8182
  3. 8183
  4. 8184

    Lycopene and Other Bioactive Compounds’ Extraction from Tomato Processing Industry Waste: A Comparison of Ultrasonication Versus a Conventional Stirring Method by Konstantinos Mavridis, Nikolaos Todas, Dimitrios Kalompatsios, Vassilis Athanasiadis, Stavros I. Lalas

    Published 2025-01-01
    “…., polyphenols), the optimization of a green extraction method involving ultrasound-assisted bath extraction (UBAE) was carried out. …”
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  5. 8185
  6. 8186

    Coal Mine Gas Safety Evaluation Based on Adaptive Weighted Least Squares Support Vector Machine and Improved Dempster–Shafer Evidence Theory by Zhenming Sun, Dong Li

    Published 2020-01-01
    “…Second, because the basic probability assignment (BPA) function is the basis of D-S evidence theory calculation, the BPA function of each sensor is determined using the posterior probability modeling method, and the similarity is introduced for optimization. Then, regarding the problem of fusion failure in D-S evidence theory when fusing high-conflict evidence, using the idea of assigning weights, the importance of each evidence is allocated to weaken the effect of conflicting evidence on the evaluation results. …”
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  7. 8187

    Digital twins as global learning health and disease models for preventive and personalized medicine by Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud, Dina Mansour Aly, Andrey Rzhetsky, Marinka Zitnik, Mikael Benson

    Published 2025-02-01
    “…Early clinical applications of DTs have shown potential in areas like artificial organs, cancer, cardiology, and hospital workflow optimization. However, widespread implementation faces several challenges: (1) characterizing dynamic molecular changes across multiple biological scales; (2) developing computational methods to integrate data into DTs; (3) prioritizing disease mechanisms and therapeutic targets; (4) creating interoperable DT systems that can learn from each other; (5) designing user-friendly interfaces for patients and clinicians; (6) scaling DT technology globally for equitable healthcare access; (7) addressing ethical, regulatory, and financial considerations. …”
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  8. 8188

    Design of an Ultrawideband Circularly Polarized Printed Crossed-Dipole Antenna Based on Genetic Algorithms for S-Band CubeSat Applications by Jorge Simon, Hugo Perez-Guerrero, Jorge Sosa-Pedroza, Fabiola Martínez-Zúñiga, Juvenal Villanueva-Maldonado, Jorge Flores-Troncoso, Marco Cardenas-Juarez

    Published 2021-01-01
    “…This paper presents an ultrawideband circularly polarized two-layer crossed-dipole microstrip antenna for S-band CubeSat applications using genetic algorithms optimization tools included in the 3D electromagnetic simulation software Ansys HFSS. …”
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  9. 8189

    Identification and interpretive ranking of factors affecting the improvement of agility in business process management by Sadegh Hasani Moghadam, Mohammad Mahdi Mohtadi, Hossein Bazargani, Ali Taheri, Mohsen Miri

    Published 2023-11-01
    “…One of the most critical requirements of such a model is using systems thinking and a soft operations research approach because the methods introduced in the background to achieve the agility of the process management generally include fragmentary optimization because of the one-dimensional view and the lack of a system view to identifying agility variables in process management.Methodology: In this study, an attempt was made to provide a comprehensive model using the interpretative paradigm's capabilities. …”
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  10. 8190

    Bioengineering in Solid-State Fermentation for next sustainable food bioprocessing by Muyideen Olaitan Bamidele, Micheal Bola Bamikale, Eliseo Cárdenas-Hernández, Motolani Adepeju Bamidele, Guillermo Castillo-Olvera, José Sandoval-Cortes, Cristóbal Noe Aguilar

    Published 2025-01-01
    “…A review of bioengineering strategies that optimize microbial growth and metabolite production in SSF systems is presented in this chapter, including novel bioreactor designs and genetic engineering of microorganisms combined with metabolic engineering. …”
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  11. 8191

    Fluorogenic Biosensing with Tunable Polydiacetylene Vesicles by John S. Miller, Tanner J. Finney, Ethan Ilagan, Skye Frank, Ye Chen-Izu, Keishi Suga, Tonya L. Kuhl

    Published 2025-01-01
    “…Here, we focus on the characterization and optimization of polydiacetylene vesicles to tune their sensitivity for fluorogenic sensing applications. …”
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  12. 8192

    Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm by Mei Hong, Ren Zhang, Dong Wang, Longxia Qian, Zhenghua Hu

    Published 2017-01-01
    “…Genetic algorithms (GA) are used to generate high-quality solutions to optimization and search problems. So, using GA, the parameter of optimal window width can be obtained. …”
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  13. 8193

    Design of novel graded bone scaffolds based on triply periodic minimal surfaces with multi-functional pores by Rongwu Lai, Rongwu Lai, Jian Jiang, Jian Jiang, Yi Huo, Hao Wang, Sergei Bosiakov, Yongtao Lyu, Yongtao Lyu, Lei Li

    Published 2025-02-01
    “…BackgroundVarious mechanical and biological requirements on bone scaffolds were proposed due to the clinical demands of human bone implants, which remains a challenge when designing appropriate bone scaffolds.MethodsIn this study, novel bone scaffolds were developed by introducing graded multi-functional pores onto Triply Periodic Minimal Surface (TPMS) structures through topology optimization of unit cell. The performance of these scaffolds was evaluated using finite element (FE) analysis and computational fluid dynamics (CFD) method.ResultsThe results from FE analysis indicated that the novel scaffold exhibited a lower elastic modulus, potentially mitigating the issue of stress shielding. …”
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  14. 8194

    Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review by Eliška Sedláčková, Anna Pražanová, Zbyněk Plachý, Nikola Klusoňová, Vaclav Knap, Karel Dušek

    Published 2025-01-01
    “…Moreover, AE enhances diagnostics by facilitating early detection of potential issues, optimizing maintenance, and improving the reliability and longevity of battery systems. …”
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  15. 8195

    NIGWO-iCaps NN: A Method for the Fault Diagnosis of Fiber Optic Gyroscopes Based on Capsule Neural Networks by Nan Lu, Huaqiang Zhang, Chunmei Dong, Hongtao Li, Yu Chen

    Published 2025-01-01
    “…Then, an improved gray wolf algorithm combined with the adaptive algorithm (Adam) is proposed to determine the optimal values of the model parameters, which improves the optimization performance. …”
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  16. 8196

    Production and characterization of nervous necrosis virus vaccine antigens in wild type and CRISPR/Cas9 genome edited Nicotiana benthamiana and edible crop lettuce Lactuca sativa by Iva Andrasevic, Hang Su, Espen Rimstad, Jihong Liu Clarke

    Published 2025-03-01
    “…In the present study, we report: (1) selection and design of recombinant plasmids encoding the capsid proteins (CPs) of two genotypes of NNV, red-spotted grouper nervous necrosis virus (RGNNV) and striped jack nervous necrosis virus (SJNNV); (2) design and optimization of plasmids for transient expression of NNV vaccine antigens in wild type Nicotiana benthamiana, CRISPR/Cas9 genome edited Nicotiana benthamiana and Lactuca sativa; (3) test of different Agrobacterium strains (LBA4404 and AGL1) for effective production of NNVCPs; (4) the expression patterns of NNVCPs over time post infiltration for different plants and cultivars; (5) successful production of NNV antigens in N. benthamiana lines and lettuce cultivars, indicating the potential of the plants as antigen producers in the development of a plant-based vaccine against VNN.…”
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  17. 8197

    An Integrated Consensus Improving Strategy Based on PL-Wasserstein Distance and Its Application in the Evaluation of Network Public Opinion Emergencies by Shitao Zhang, Zhenzhen Ma, Xiaodi Liu, Zhiying Wang, Lihui Jiang

    Published 2020-01-01
    “…Then, by integrating the defined PLTSs-based Wasserstein (PL-Wasserstein) distance measure into the classical CCSD method, we construct an optimization model for objectively determining attribute weights. …”
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  18. 8198

    Galectin-1-Dependent Mitochondria Apoptosis Plays an Essential Role in the Potential Protein Targets of DBDCT-Induced Hepatotoxicity as Revealed by Quantitative Proteomic Analyses by Jiayu Song, Yuan Ren, Lihua Liu, Yixin Wang, Chuandao Shi, Xiaoqing Ji, Yunlan Li, Qingshan Li

    Published 2022-01-01
    “…Moreover, the present study will lay the groundwork for future research about di-n-butyl-di-(4-chlorobenzohydroxamato) tin structure optimization and developing it into a new potential anticancer agent.…”
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  19. 8199

    THE USE OF ARTIFICIAL INTELLIGENCE ON COLPOSCOPY IMAGES AND SEGMENTAL VOLUMES, CONSTRUCTED FROM MRI AND CT IMAGES, IN THE DIAGNOSIS AND STAGING OF PRECANCERS, CERVICAL CANCERS AND... by Hlescu Cristian Stefan, Tudor Florin Ursuleanu, Roxana Grigorovici, Andreea Roxana Luca, Ramona Elena Teiu, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici

    Published 2024-12-01
    “…Aim of the study For the accurate diagnosis and staging of precancers and cervical and thyroid cancer, we aim to create a diagnostic method optimized by artificial intelligence (AI) algorithms and validated by the notable positive results of a randomized, controlled, 17-month trial.. …”
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  20. 8200

    XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

    Published 2025-01-01
    “…To effectively classify the EEG signals induced by DRDS, we introduced a novel hybrid neural network model, XCF-LSTMSATNet, which integrates an XGBoost Channel Feature Optimization Module with the EEGNet and an LSTM Self-Attention Modules. …”
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