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Showing 101 - 120 results of 479 for search 'Feature detection analytics', query time: 0.13s Refine Results
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    A multivariate cell-based liquid biopsy for lung nodule risk stratification: Analytical validation and early clinical evaluation by Jason D. Berndt, Fergal J. Duffy, Mark D. D'Ascenzo, Leslie R. Miller, Yijun Qi, G. Adam Whitney, Samuel A. Danziger, Anil Vachani, Pierre P. Massion, Stephen A. Deppen, Robert J. Lipshutz, John D. Aitchison, Jennifer J. Smith

    Published 2025-09-01
    “…Methods: We developed a lung cancer-specific iCAP (LC-iCAP) as a rule-out test for the management of indeterminate pulmonary nodules detected by low-dose CT screening. This included assay parameterization, analytical reproducibility testing, and selection of a fixed 85-gene feature set for future clinical validation and regulatory development. …”
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    Article
  3. 103
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    Modern Psychoactive Substances and Their Detection in Biomedical Samples by A. M. Grigoryev, V. N. Fateenkov

    Published 2023-05-01
    “…The purpose of the work is to review psychoactive compounds and methods of their detection performed for diagnostic purposes. The paper presents brief characteristics of the most common NPS, as well as features of their metabolism in the human. …”
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    Article
  5. 105

    An In-Depth Review of Molecularly Imprinted Electrochemical Sensors as an Innovative Analytical Tool in Water Quality Monitoring: Architecture, Principles, Fabrication, and Applica... by Mbuyamba Divin Mukendi, Oluseyi Sikiru Salami, Nomvano Mketo

    Published 2025-02-01
    “…Their design features template-shaped cavities in the polymer that mimic the functional groups, shapes, and sizes of target analytes, resulting in enhanced binding interactions and improved sensor performance in complex water environments. …”
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    Article
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    Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier by Muhammad Hanzla, Naif S. Alshammari, Shuaa S. Alharbi, Wasim Wahid, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu

    Published 2025-01-01
    “…Key point features are characterized through the degree of freedom, human landmark detection via the HSV algorithm, and angular point analysis using the media pipe algorithm. …”
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    Article
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    Risk averse reproduction numbers improve resurgence detection. by Kris V Parag, Uri Obolski

    Published 2023-07-01
    “…We find that this weighting can cause delayed detection of outbreak resurgence and premature signalling of epidemic control because it underrepresents the risks from highly transmissible groups. …”
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  10. 110

    Integrated microphotonic platform for highly sensitive virus detection by A. la Grasta, M.I. Gómez-Gómez, A. Griol, E. Gómez, M. De Carlo, V.M.N. Passaro, A. Martínez, F. Dell’Olio

    Published 2025-06-01
    “…Despite these advancements, there remains a need for technical solutions that ensure point-of-care features such as low cost, rapid response, and low limit-of-detection (LoD). …”
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    Article
  11. 111

    Advanced Feature Analysis of Eddy Current Testing Signals for Rail Surface Defect Characterization by Michele Quercio, Luca Santoro, Raffaella Sesana, Francesco Riganti Fulginei

    Published 2025-01-01
    “…These results underscore the effectiveness of using multiple signal-decomposition strategies and advanced analytics to robustly detect and categorize surface defects for better rail-maintenance decisions.…”
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    Improving Cardiovascular Disease Prediction With Deep Learning and Correlation-Aware SMOTE by Maria Trigka, Elias Dritsas

    Published 2025-01-01
    “…This innovative technique enhances traditional SMOTE by incorporating feature correlations to produce more realistic synthetic samples. …”
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    EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

    Published 2025-04-01
    “…Its applications extend across various domains, including big data analytics, finance, chemometrics, medical diagnostics, biological research, intrusion detection systems, and renewable energy solutions. …”
    Article
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    An extrinsic random-based ensemble approach for android malware detection by Nektaria Potha, V. Kouliaridis, G. Kambourakis

    Published 2021-10-01
    “…Malware detection is a fundamental task and associated with significant applications in humanities, cybersecurity, and social media analytics. …”
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    Article