Showing 16,401 - 16,420 results of 16,436 for search 'Model performance features', query time: 0.30s Refine Results
  1. 16401

    Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

    Published 2024-11-01
    “…Due to increasing traffic congestion, travel modeling has gained importance in the development of transportion mode detection (TMD) strategies over the past decade. …”
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  2. 16402
  3. 16403

    Integrating Proximal and Remote Sensing with Machine Learning for Pasture Biomass Estimation by Bernardo Cândido, Ushasree Mindala, Hamid Ebrahimy, Zhou Zhang, Robert Kallenbach

    Published 2025-03-01
    “…We applied the Boruta algorithm for feature selection to identify influential biophysical predictors and evaluated four machine learning models—Linear Regression, Decision Tree, Random Forest, and XGBoost—for biomass prediction. …”
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  4. 16404
  5. 16405

    Stylistically Lowered Lexical Units in Metaphors and Similes in Different Narrative Types (Based on the Material of Modern Russian Prose) by Zoya Yur’evna Petrova, Natalia Aleksandrovna Fateeva

    Published 2025-01-01
    “…It is noted that, in contrast to metaphors and similes that function in everyday speech, comparative constructions with uncodified elements in literary prose text are specially modeled to perform figurative and evaluative-expressive functions. …”
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  6. 16406

    Cabozantinib Resolves Bone Scans in Tumor-Naïve Mice Harboring Skeletal Injuries by Michael G. Doran, Daniel E. Spratt, John Wongvipat, David Ulmert, Brett S. Carver, Charles L. Sawyers, Michael J. Evans

    Published 2014-10-01
    “…In summary, although the mechanism by which cabozantinib suppresses radionuclide incorporation into foci undergoing bone remodeling remains unknown, that this phenomenon occurs in tumor-naïve models indicates that caution should be exercised in interpreting the clinical significance of this event.…”
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  7. 16407
  8. 16408

    Characterization of lactylation-based phenotypes and molecular biomarkers in sepsis-associated acute respiratory distress syndrome by Yiheng Wang, An Wei, Zixuan Su, Yunyi Shi, Xinqiu Li, Lixian He

    Published 2025-04-01
    “…KEGG pathway analysis, drug sensitivity prediction, and immune cell infiltration analysis were performed. Candidate molecular biomarkers were identified by intersecting the feature genes extracted from four machine learning models. …”
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  9. 16409

    A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students by Flórián Gubics, Ádám Nagy, József Dombi, Antónia Pálfi, Zoltán Szabó, Zsolt János Viharos, Anh Tuan Hoang, Vilmos Bilicki, István Szendi

    Published 2025-02-01
    “…These were a group characterized by an emphasis on positive schizotypal traits (N = 20), a group showing cyclothymic temperament traits (N = 17), and a control group showing no susceptibility in either direction (N = 21). We performed a resting-state EEG examination as part of a complex psychological, electrophysiological, psychophysiological, and laboratory battery, and we developed feature-selection machine-learning methods to differentiate the low-risk groups. …”
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  10. 16410

    Accuracy and cost comparison of 3D-printed guides in complex spinal deformity correction: direct vs indirect design by Wei Yang, Wei Yang, Wei Yang, Wei Guo, Wei Guo, Wen-Jun Wu, Rong Ma, Zemin Wang, Honglai Zhang, Wanzhong Yang, Zhaohui Ge, Zhaohui Ge

    Published 2025-05-01
    “…Screw placement and osteotomy were simulated using 3D-printed spinal models and guides. Post-operative CT scans were performed on the models and compared with pre-operative designs to evaluate the accuracy, efficiency, cost, and clinical practicality of different guides during screw placement and osteotomy.ResultsThis study included 10 patients with complex spinal deformities (Five males and five females, with an average age of 37 years), covering five diagnostic types such as neurofibromatosis and adult idiopathic spinal deformity. …”
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  11. 16411

    GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images by Xiaopeng Sha, Zhoupeng Guo, Xinqi Sang, Shuyu Wang, Yuliang Zhao

    Published 2024-01-01
    “…The xFBD<sub>TWC</sub> dataset, featuring balanced samples and cloud occlusion, has demonstrated its excellence through experimental results. …”
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  12. 16412

    DETERMINATION OF METASTATIC CAPACITY IN PRIMARY LUNG CANCER CELLS: REFLECTION OF PATIENT PROFILE IN THE CLINIC USING IN VITRO METHODS by Seçil Yılmaz, Medine Doğan Sarıkaya, Elif Yaşar, Burcu Şen Bağcı, Özlem Canöz, Ömer Önal

    Published 2023-10-01
    “…Objective: There is a scarcity of in vivo models that accurately reflect tumor growth and metastasis in cancer research. …”
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  13. 16413
  14. 16414

    Behavior and design implications of web-post shear failure in cellular beams by Worathep Sae-Long, Sutham Arun, Suchart Limkatanyu, Preeda Chaimahawan, Nattapong Damrongwiriyanupap, Wichaphon Fakkaew, Sangsan Wongchairattana

    Published 2025-09-01
    “…The key parameters examined are section size, opening ratio, and slenderness ratio. Steel is modeled as perfectly plastic, isotropic, and homogeneous. …”
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  15. 16415
  16. 16416

    Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies by Heiner Stuke, Robert Schlack, Michael Erhart, Anne Kaman, Ulrike Ravens-Sieberer, Christopher Irrgang

    Published 2025-05-01
    “…Based on these predictive models, we used permutation-based feature importance analyses to identify relevant predictors and predictor domains. …”
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  17. 16417

    Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function by Patricia Vazquez-Guerrero, Rohisha Tuladhar, Costas Psychalinos, Ahmed Elwakil, Maurice J. Chacron, Fidel Santamaria

    Published 2024-03-01
    “…Previous theoretical work shows that power-law history dependent spike time adaptation, seen in several brain areas and species, can be modeled with fractional order differential equations. …”
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  18. 16418

    Genes driving three-dimensional growth of immortalized cells and cancer by Mukta Basu, Jin-Fen Xiao, Saravana Kumar Kailasam Mani, Fangyuan Qu, Yongqi Lin, Jason Duex, Huihui Ye, Vanessa Neang, Dan Theodorescu

    Published 2025-06-01
    “…Abstract Unchecked growth in three-dimensions (3D) in culture is a key feature of immortalized cells on the path to malignant transformation and hence a potential target phenotype for prevention. …”
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  19. 16419

    Intelligent voice assistant as an example of inclusive design methodology implementation by A. A. Zakharov, I. G. Zakharova, A. M. Shabalin, Sh. I. Khanbekov, D. B. Dzhalilzoda

    Published 2024-03-01
    “…To recognise questions, search for answers, and support dialogues carried out by a voice assistant, the authors applied natural language text analysis methods and classification models created using machine learning methods.Results. …”
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  20. 16420

    Comparison of phenotypic selection of inbred lines, genomic selection of inbred lines, and evolutionary populations for field pea breeding in three Mediterranean regions by Paolo Annicchiarico, Meriem Laouar, Imane Thami-Alami, Margherita Crosta, Nelson Nazzicari, Luciano Pecetti, Luigi Russi

    Published 2025-06-01
    “…Region-specific line selections were performed on each cross using three experiments per region for PS, and GS models developed in previous studies. …”
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