يعرض 281 - 300 نتائج من 363 نتيجة بحث عن '(( algorithm pre function ) OR ( ((algorithm python) OR (algorithm flow)) function ))*', وقت الاستعلام: 0.40s تنقيح النتائج
  1. 281

    Nonparametric Distribution Regression and Change Point Detection in High-Dimensions حسب Shivam Kumar (17808571)

    منشور في 2025
    "…First, we introduce the Functional Regression Binary Segmentation (FRBS) algorithm for change-point detection in the slope function when predictors are functions and responses are scalars. …"
  2. 282

    Table 1_Late-onset first epileptic seizure and cerebral small vessel disease: role of juxtacortical white matter lesions.docx حسب Adrian Nasca (20601542)

    منشور في 2025
    "…Compared to TIA group, LOFES patients gray matter volume was regionally decreased in the right pre- and postcentral gyrus.</p>Significance<p>By using algorithm-based automated lesion segmentation software tools and VBM analysis we could highlight that a juxtacortical weighting of WML distribution and regionally decreased gray matter volume distinguished LOFES from TIA and PC groups in our sample.…"
  3. 283

    Mechanomics Code - JVT حسب Carlo Vittorio Cannistraci (5854046)

    منشور في 2025
    "…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…"
  4. 284

    Table 1_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
  5. 285

    Table 2_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
  6. 286

    Table 3_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.xlsx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
  7. 287

    Table 4_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
  8. 288

    Predictive power of ALBI score-based nomogram for 30-day mortality following transcatheter aortic valve implantation حسب Abdullah Yildirim (14775768)

    منشور في 2025
    "…</p> <p>This study exhibits the significance of liver dysfunction with AS patients and suggests incorporating liver function parameters in pre-operative risk assessments for better clinical outcomes in TAVI procedures.…"
  9. 289

    Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation حسب Ryo Tamura (1957942)

    منشور في 2025
    "…We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with diverse exploratory objectives. NIMO provides a framework for integrating AI into robotic experimental systems that are controlled by other OS platforms based on both Python and non-Python languages. …"
  10. 290

    Study design and deep-learning model architecture. حسب Sehoon Park (1466026)

    منشور في 2025
    "…Conv, Convolutional layer; SepConv, Separable convolutional layer; MBConv, Mobile inverted bottleneck convolutional layer (numbers after MBConv indicate layer depth); k3/k5, kernel size 3 or 5; GAP, Global average pooling; FC, Fully connected layer; Swish, Swish activation function; DBP, Diastolic blood pressure, SBP, Systolic blood pressure; HR, Heart rate; DL-IVSS, A deep-learning algorithm leveraging time-series intraoperative vital sign signals; preOp ML, A machine learning model with 103 baseline characteristics.…"
  11. 291

    Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. حسب Enrico Bertozzi (22461709)

    منشور في 2025
    "…The analysis was conducted in a Jupyter Notebook environment, using Python and libraries such as Scikit-learn and Pandas. …"
  12. 292

    Supplementary file 1_RadioMe: an automated home-based radio, music playlist, and diary reminder system: Report on recruitment, music compilation, and listening, and preliminary tes... حسب Alexander Street (16905678)

    منشور في 2025
    "…</p>Aims<p>RadioMe was a project designed for people living at home with dementia to build a system to help them maintain the highest quality of life there for as long as possible, with three functional components: 1. Streaming radio; 2. Providing pre-recorded spoken diary reminders; 3. interrupting the radio with pre-compiled playlists when a wrist-worn heart rate (HR) monitor detects stress. …"
  13. 293

    Table 1_Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.xlsx حسب XinPei Liu (16560699)

    منشور في 2024
    "…LASSO regression identified 25 significant features for the models. Among the six algorithms tested, the radial basis function support vector machine (RBF-SVM) had the highest AUC at 0.771. …"
  14. 294

    Table 3_Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.xlsx حسب XinPei Liu (16560699)

    منشور في 2024
    "…LASSO regression identified 25 significant features for the models. Among the six algorithms tested, the radial basis function support vector machine (RBF-SVM) had the highest AUC at 0.771. …"
  15. 295

    Table 2_Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.xlsx حسب XinPei Liu (16560699)

    منشور في 2024
    "…LASSO regression identified 25 significant features for the models. Among the six algorithms tested, the radial basis function support vector machine (RBF-SVM) had the highest AUC at 0.771. …"
  16. 296

    Table 4_Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.xlsx حسب XinPei Liu (16560699)

    منشور في 2024
    "…LASSO regression identified 25 significant features for the models. Among the six algorithms tested, the radial basis function support vector machine (RBF-SVM) had the highest AUC at 0.771. …"
  17. 297

    Optimal Network Membership Estimation under Severe Degree Heterogeneity حسب Zheng Tracy Ke (8293395)

    منشور في 2024
    "…To obtain a rate-optimal method, we modify an existing spectral algorithm, Mixed-SCORE, by adding a pre-PCA normalization step. …"
  18. 298

    Table1_Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning.pdf حسب Lijuan Liang (4277053)

    منشور في 2024
    "…We used the Covarep open-source algorithm to extract a total of 1200 high-level statistical functions for each sample. …"
  19. 299

    <b>A virtual tracer experiment to assess the temporal origin of root water uptake, evaporation, and </b><b>drainage</b> حسب Paolo Nasta (19710883)

    منشور في 2024
    "…The longitudinal dispersivity describes how a tracer spreads along the flow paths. The longer the flow paths, the more dispersion affects the tracer transport. …"
  20. 300

    Schematic of <i>P. chabaudi</i> within-host infection dynamics and fitness optimization. حسب Avril Wang (22404300)

    منشور في 2025
    "…For local optimization, an arbitrary starting spline is picked (left panel) and an optimization algorithm is used to adjust the relative weights of the basis functions until a fitness maximum is achieved (going from left to right). …"