Showing 15,501 - 15,520 results of 16,436 for search 'Model performance features', query time: 0.33s Refine Results
  1. 15501

    Identification of m6 A-regulated ferroptosis biomarkers for prognosis in laryngeal cancer by Xin Wang, Wen Zhang, Kun Liang, Yujuan Wang, Jin Zhang, Jinping Wang, An Li, Yonggang Yun, Hiu Liu, Yanan Sun

    Published 2025-04-01
    “…Univariate Cox and least absolute shrinkage and selection operator (LASSO) regression were utilized for feature selection and risk model construction in the TCGA-HNSC dataset. …”
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  2. 15502
  3. 15503

    Research on cloud detection method based on voting ensemble learning using FY-4B satellite data by Jianhua Qu, Lingmeng Ye, Junjie Yan, Jinjing Sun, Ziyu Huyan

    Published 2025-12-01
    “…Cross-validation with MODIS data confirms >91% accuracy for the ensemble over deep sea, shallow water, land, and snow, with false alarm rates generally <8% (except 12% for snow). The ensemble performs stably across seasons. Compared to single models, the Voting Ensemble demonstrates markedly improved adaptability, accuracy, and robustness across diverse seasons and scenarios, offering a more reliable solution for complex cloud detection challenges.…”
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  4. 15504

    Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study by Shailesh Appukuttan, Shailesh Appukuttan, Aude-Marie Grapperon, Aude-Marie Grapperon, Mounir Mohamed El Mendili, Hugo Dary, Maxime Guye, Annie Verschueren, Jean-Philippe Ranjeva, Shahram Attarian, Wafaa Zaaraoui, Matthieu Gilson

    Published 2025-06-01
    “…Our findings reveal that, while certain pipeline components, such as subject-wise feature normalization, help improve classification outcomes, the overall influence of pipeline refinements on performance is modest. …”
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  5. 15505

    Mechanism of Anodic Dissolution of Tungsten in Sulfate–Fluoride Solutions by Martin Bojinov, Yoanna Penkova, Iva Betova, Vasil Karastoyanov

    Published 2024-09-01
    “…Voltametric and impedance data are successfully reproduced by a kinetic model featuring oxide growth and dissolution coupled with the recombination of point defects, as well as a multistep tungsten dissolution reaction at the oxide/electrolyte interface. …”
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  6. 15506

    Analysis of the Arc Quenching System of an Arrester Operation Based on a Flow Ultrasound Generator by Matvey I. Apolinskiy, Vladimir Ya. Frolov, Alexander D. Sivaev, Evgeniy Y. Enkin

    Published 2024-10-01
    “…This article is devoted to the analysis of the arrester operation, which has design features of flow ultrasound generators. The paper includes both experimental investigations of the proposed spark gap arrester design and mathematical modeling of the processes occurring in it. …”
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  7. 15507

    Observations of Uranus at High Phase Angle as Seen by New Horizons by Samantha N. Hasler, L. C. Mayorga, William M. Grundy, Amy A. Simon, Susan D. Benecchi, Carly J. A. Howett, Silvia Protopapa, Heidi B. Hammel, Daniel D. Wenkert, S. Alan Stern, Kelsi N. Singer, Simon B. Porter, Pontus C. Brandt, Joel W. Parker, Anne J. Verbiscer, John R. Spencer, The New Horizons Planetary Science Theme Team

    Published 2024-01-01
    “…These results place new constraints on the atmospheric model of Uranus and its reflectivity. The observations are analogous to those from future exoplanet direct-imaging missions, which will capture unresolved images of exoplanets at partial phases. …”
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  8. 15508
  9. 15509

    The Design and Fabrication of a Ladder-Climbing Robot by Bathula Vineela Rathan, M. Tarun, P. H. J. Venkatesh, Y. Phaneendra

    Published 2024-07-01
    “…While some robots mimic human-like features, most are designed primarily for functionality rather than appearance. …”
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  10. 15510

    Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

    Published 2025-01-01
    “…For this purpose, data including porosity, surface hardness, and roughness were extracted from the literature, and additional measurements were performed on additive manufactured samples in the current work. …”
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  11. 15511

    Spatially explicit predictions using spatial eigenvector maps by Guillaume Guénard, Pierre Legendre

    Published 2024-11-01
    “…Abstract In this paper, we explain how to obtain sets of descriptors of the spatial variation, which we call “predictive Moran's eigenvector maps” (pMEM), that can be used to make spatially explicit predictions for any environmental variables, biotic or abiotic. It unites features of a method called “Moran's eigenvector maps” (MEM) and those of spatial interpolation, and produces sets of descriptors that can be used with any other modelling method, such as regressions, support vector machines, regression trees, artificial neural networks and so on. …”
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  12. 15512

    Risks, threats and mechanisms of management systems ESG-transformation by A. M. Margolin, I. V. Vyakina

    Published 2022-10-01
    “…Purpose: the article aims at justification and identification of the factors hindering the effective implementation of the management systems ESG-transformation, taking into account new risks and threats to sustainable development, and substantiation of the mechanisms that ensure its implementation.Methods: along with the traditional methods of scientific analysis, interdisciplinary approach typical for the study of sustainable development problems and the diagnosis of key factors associated with ESG-transformation of management systems, carried out a review of scientific literature, used various rating models, regulatory documents and guidelines for sustainable development, corporate social responsibility and diagnostics of ESG-factors.Results: the article performed diagnostics of managed and unmanaged risks of ESG-transformation of management systems, identified trends in the development of managerial personnel competencies that carry out such a transformation, and disclosed the features of achieving sustainable development goals. …”
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  13. 15513

    Assessment of carbon dioxide exchange processes between water bodies and the atmosphere by P.S. Korotkih, E.N. Neverov, I.A. Korotkiy

    Published 2023-12-01
    “…Calculating the precise volume of CO2 absorbed by the ocean is even more difficult due to the complex and dynamic nature of these processes. Some studies and models provide only an approximate assessment of the annual carbon balance between the atmosphere and the ocean. …”
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  14. 15514

    Complexity reduction by symmetry: Uncovering the minimal regulatory network for logical computation in bacteria. by Luis A Álvarez-García, Wolfram Liebermeister, Ian Leifer, Hernán A Makse

    Published 2025-04-01
    “…Symmetry principles play an important role in geometry, and physics, allowing for the reduction of complicated systems to simpler, more comprehensible models that preserve the system's features of interest. …”
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  15. 15515

    Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

    Published 2025-01-01
    “…Specifically, the VMD–ARIMA–GRU model emerged as the top performer, demonstrating the lowest error metrics and highest explanatory power. …”
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  16. 15516

    Rethinking Scanning Strategies With Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study by Qinfeng Zhu, Yuan Fang, Yuanzhi Cai, Cheng Chen, Lei Fan

    Published 2024-01-01
    “…However, CNNs are constrained by their restricted receptive fields, while ViTs face challenges due to their quadratic complexity. Recently, the Mamba model, featuring linear complexity and a global receptive field, has gained extensive attention for vision tasks. …”
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  17. 15517

    Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study by Zhichao Yang, Zonghai Yao, Mahbuba Tasmin, Parth Vashisht, Won Seok Jang, Feiyun Ouyang, Beining Wang, David McManus, Dan Berlowitz, Hong Yu

    Published 2025-02-01
    “…ObjectiveThis study aimed to comprehensively evaluate the performance, interpretability, and limitations of GPT-3.5 Turbo, GPT-4, and its successor, GPT-4 Vision (GPT-4V), specifically focusing on GPT-4V’s newly introduced image-understanding feature. …”
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  18. 15518

    Circular RNA hsa_Circ_0007552 inhibits lung adenocarcinoma proliferation, migration and invasion via the miR-7974/BAP1 axis by Yanping Lin, Rong Li, Xin Shen, Mingjin Wu, Jiadai Tang, Jiangyan Guo, Caixin Yin, Tingrong Xia, Dongqi Li, Fengdi Hu, Yedan Liao, Rui Li, Lin Xie

    Published 2025-08-01
    “…Bioinformatics analysis and dual-luciferase reporter gene assays were conducted to validate the interactions among Circ_0007552, miR-7974, and BAP1. Western blot was performed to detect the protein expression of BAP1.ResultsCirc_0007552 exhibited low expression in LUAD tissues and cells, correlating with clinicopathological features such as tumor size, lymph node metastasis, clinical stage, and poor prognosis. …”
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  19. 15519

    In evolution’s unending race: ancestral STING sensors in Salmo salar mediate intracellular bacterial detection and programmed cell death through evolutionarily conserved pathways by Alejandro J. Yañez, Alejandro J. Yañez, Alejandro J. Yañez, Alejandro J. Yañez, Jorge F. Beltrán, Claudia A. Barrientos, Genaro Soto-Rauch, Marcelo Aguilar, Marcelo Aguilar, Adolfo Isla, Adolfo Isla, Adolfo Isla, Sandra N. Flores-Martin, Francisco T. Yañez, Yassef Yuivar, Adriana Ojeda, Felipe Almendras, Patricio Bustos, Marcos Mancilla

    Published 2025-06-01
    “…Although extensively characterized in mammals, its structural features and regulatory roles during intracellular bacterial infection in teleosts remain poorly defined.MethodsWe structurally characterized the ancestral STING ortholog from Atlantic salmon (Salmo salar) using AlphaFold-guided modeling to identify conserved motifs, including the cyclic dinucleotide (CDN)-binding cleft and phosphorylation regulatory sites. …”
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  20. 15520

    Estimation of aboveground biomass from spectral and textural characteristics of paddy crop using UAV-multispectral images and machine learning techniques by Sudarsan Biswal, Navneet Pathak, Chandranath Chatterjee, Damodhara Rao Mailapalli

    Published 2024-01-01
    “…This study focuses to estimate AGB of paddy crop by exploring the combined potential of spectral and textural features of unmanned aerial vehicle (UAV)-MS images using linear regression (LR), multi-linear regression (MLR), and random forest (RF) models. …”
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