Showing 441 - 460 results of 554 for search 'negative detection algorithm', query time: 0.12s Refine Results
  1. 441

    Do we need to pay technical debt in blockchain software systems? by Yubin Qu, Tie Bao, Xiang Chen, Long Li, Xianzhen Dou, Meng Yuan, Hongmei Wang

    Published 2022-12-01
    “…Because these technical debts can have a negative impact on software projects, we need to investigate the issue of technical debt in blockchain software systems. …”
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    Article
  2. 442

    Cyberattack Monitoring Architectures for Resilient Operation of Connected and Automated Vehicles by Zulqarnain H. Khattak, Brian L. Smith, Michael D. Fontaine

    Published 2024-01-01
    “…The proposed algorithm was also compared to convolutional neural network (CNN) and other classical algorithms. …”
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    Article
  3. 443

    Noise correlations and neuronal diversity may limit the utility of winner-take-all readout in a pop out visual search task. by Ori Hendler, Ronen Segev, Maoz Shamir

    Published 2025-05-01
    “…The inherent neuronal heterogeneity prevents the single-best-cell WTA from accumulating information even from large populations, whereas the accuracy of the generalized population-based WTA algorithm is negatively affected by the widely reported noise correlations. …”
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    Article
  4. 444

    Integrative analysis of ceRNA networks and immune cell infiltration in thyroid cancer for enhanced diagnostic and prognostic insights by Chang Lv, Huazhe Wu, Dejun Yin, Wei Fang, Liming Zhou

    Published 2025-04-01
    “…Survival analysis and the Cibersort algorithm further revealed the relationship between ceRNA regulatory networks and immune cell infiltration. …”
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    Article
  5. 445

    Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques by Payam Sajadi, Mehdi Gholamnia, Stefania Bonafoni, Gerald Mills, Yan-Fang Sang, Zeting Li, Salman Khan, Jiazheng Han, Francesco Pilla

    Published 2024-01-01
    “…This study introduces a novel approach to these changes by integrating Coupled Non-negative Matrix Factorization (CNMF) image fusion with an automatic pixel purification algorithm. …”
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    Article
  6. 446

    Spatiotemporal patterns of abrupt vegetation changes and reversal trends in the Yellow River Basin: Climate and human drivers by Xiaohui He, Tingwei Fan, Mengjia Qiao

    Published 2025-06-01
    “…Vegetation changes involve both gradual trends and abrupt changes, with the latter serving as critical indicators for detecting vegetation state transitions and identifying potential environmental stresses. …”
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  7. 447

    Providing contexts for classification of transients in a wide-area sky survey: An application of noise-induced cluster ensemble by Tossapon Boongoen, Natthakan Iam-On, James Mullaney

    Published 2022-09-01
    “…The results with simulated data and algorithms of NB, C4.5 and KNN have shown that the proposed framework can filter out some negative samples quickly, while making classification of the rest more effective. …”
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    Article
  8. 448

    Development of machine learning models for the prediction of the skin sensitization potential of cosmetic compounds by Wu Qiao, Tong Xie, Jing Lu, Tinghan Jia

    Published 2024-12-01
    “…Background To enhance the accuracy of allergen detection in cosmetic compounds, we developed a co-culture system that combines HaCaT keratinocytes (transfected with a luciferase plasmid driven by the AKR1C2 promoter) and THP-1 cells for machine learning applications. …”
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    Article
  9. 449

    Pengaruh Word Affect Intensities Terhadap Deteksi Ulasan Palsu by Raga Saputra Heri Istanto, Fitra Abdurrachman Bachtiar, Achmad Ridok

    Published 2022-02-01
    “…These features are then combined with features in previous studies and evaluated using several classification algorithms. The results showed that word affect intensities can be a factor that affects the increased accuracy of fake review detection by 2.1%. …”
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    Article
  10. 450

    THE RISK OF OSTEOPOROTIC FRACTURES IN PATIENTS WITH RHEUMATOID ARTHRITIS: RESULTS OF THE PROGRAM «OSTEOSCREENING RUSSIA» by O. A. Nikitinskaya, N. V. Toroptsova, N. V. Demin, A. Yu. Feklistov, E. L. Nasonov

    Published 2018-07-01
    “…In the male patients with RA, the FRAX® algorithm could reveal only 8% of persons at high risk for fractures, while 58% of them had two or more additional RFs that can negatively affect bone mineral density and increase the risk of fracture. …”
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    Article
  11. 451

    Classification of Lung Nodule Using Hybridized Deep Feature Technique by Malin Bruntha, Immanuel Alex Pandian, Siril Sam Abraham

    Published 2020-12-01
    “…The machine learning algorithms such as SVM and Logistic Regression have been used to classify the nodules based on the features. …”
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    Article
  12. 452

    Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis by Atta Taseh, Souri Sasanfar, Michelle Chan, Evan Sirls, Ara Nazarian, Kayhan Batmanghelich, Jonathan F Bean, Soheil Ashkani-Esfahani

    Published 2025-07-01
    “…The highest F1ICD ConclusionsOur findings showed promising performance with higher accuracy of NLP algorithms compared to the conventional method for detecting fall occurrence and mechanism in developing disease registries using clinical notes. …”
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  13. 453

    Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review by Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah

    Published 2023-12-01
    “…SVM, LDA, BERT are the techniques used for topic modeling, while Louvain, NodeXL, and Infomap algorithms are used for community detection. This research is notable for being the first systematic review that emphasizes the dearth of longitudinal studies and the methodological and underlying practical constraints underpinning the lucrative implementation of an explainable and longitudinal behavior analysis system. …”
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    Article
  14. 454

    Leveraging machine learning for enhanced and interpretable risk prediction of venous thromboembolism in acute ischemic stroke care. by Youli Jiang, Ao Li, Zhihuan Li, Yanfeng Li, Rong Li, Qingshi Zhao, Guisu Li

    Published 2025-01-01
    “…Predictive models were developed using machine learning algorithms, including Gradient Boosting Machine (GBM), Random Forest (RF), and Logistic Regression (LR). …”
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  15. 455
  16. 456

    Development of a hoRizontal data intEgration classifier for NOn-invasive early diAgnosis of breasT cancEr: the RENOVATE study protocol by Gabriele Zoppoli, Alberto Ballestrero, Valerio Gaetano Vellone, Piero Fregatti, Francesco Ravera, Gabriella Cirmena, Martina Dameri, Maurizio Gallo, Daniele Friedman, Massimo Calabrese, Alberto Tagliafico, Lorenzo Ferrando

    Published 2021-12-01
    “…Circulating tumour DNA, cell-free methylated DNA and circulating proteins will be assessed in samples collected at t0 from patients with stage I–IIA BC at surgery together with those collected from patients with histologically confirmed benign lesions of similar size and from healthy controls with negative mammography. These analyses will be combined with radiomic variables extracted with freeware algorithms applied to cases and matched controls for which digital mammography is available. …”
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    Article
  17. 457

    Peripherex Home Visual Field Demonstrates High Test-Retest Reliability, Validity by Schweitzer J, Ibach M, Berdahl J, Daoud M, Daoud YA, Kempinski Y, Goldberg JL

    Published 2025-06-01
    “…Test-retest reliability was good, with interclass correlation coefficient of 0.7596. Detection of abnormal fields was excellent, with a sensitivity of 95.7% and a negative predictive value (NPV) of 98.27%. …”
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  18. 458

    Identifying the mitochondrial ribosomal protein MRPL13 as an oncogenic RBP that promotes proliferation, migration, and anti-apoptotic effects in esophageal cancer cells by Yaxi Song, Hui Wang, Shiyao Li, Weili Tao, Chunqing Li, Bin Wang, Caifeng Gong

    Published 2025-05-01
    “…XCell, QUANRISEQ, MCPcounter, EPIC, CIBERSORT, ssGSEA and Estimate algorithm were used to evaluate the abundance of various components of the immune microenvironment. …”
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    Article
  19. 459
  20. 460

    Role of hepcidin in the development of anemia in patients with rheumatoid arthritis by Elena Andreyevna Galushko, D A Belenky, E N Aleksandrova, L N Kashnikova

    Published 2012-06-01
    “…The Institute’s differential diagnostic algorithm involving SF, TSIBC, and ITS was used to diagnose iron deficiency. …”
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