Materias dentro de su búsqueda.
Mostrando 801 - 820 Resultados de 3,348 Para Buscar '"Machine learning"', tiempo de consulta: 0.10s Limitar resultados
  1. 801
    A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System
    “... and replicability of findings. To tackle this issue, in this study, we propose to capitalize on a machine learning...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  2. 802
    Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning
    “... experimentally demonstrate improved digital back propagation with machine learning and use the results to reveal...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  3. 803
    Machine learning-based preoperative datamining can predict the therapeutic outcome of sleep surgery in OSA subjects
    “... success rate from machine learning and the predicted subjective surgical outcome from the physician were...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  4. 804
    Machine learning based prediction of lattice thermal conductivity for half-Heusler compounds using atomic information
    “... lattice thermal conductivity prediction by machine learning was possible on the basis of only the atomic...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  5. 805
    Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy
    “... of networks from the ensemble. This methodology can be further applied to machine learning workflows in other...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  6. 806
    An approach to rapidly assess sepsis through multi-biomarker host response using machine learning algorithm
    “... machine learning approach to determine the predictive potential of identifying sepsis host immune response...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  7. 807
    High-throughput phase-field simulations and machine learning of resistive switching in resistive random-access memory
    “...-sensing machine learning is conducted to derive interpretable analytical models for device performance...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  8. 808
    Interpretable machine-learning strategy for soft-magnetic property and thermal stability in Fe-based metallic glasses
    “... and magnetic interaction. Herein, we report an eXtreme Gradient Boosting (XGBoost) machine-learning (ML) model...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  9. 809
    Evaluation of dose-volume histogram prediction for organ-at risk and planning target volume based on machine learning
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  10. 810
    A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
    “..., clinical and demographic data to train five machine learning algorithms (artificial neural networks, extra...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  11. 811
    Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrence
    por Young Min Park, Byung-Joo Lee
    Publicado 2021
    “... carcinoma (PTC), and attempted to construct a disease recurrence prediction model using machine learning...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  12. 812
    A machine learning model for predicting the ballistic impact resistance of unidirectional fiber-reinforced composite plate
    “...). In this paper, a machine learning (ML) model is established in an effort to bridge the ballistic impact...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  13. 813
    Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques
    “... water status in greenhouse by integrating phenotyping and machine learning techniques. Pakchoi plants...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  14. 814
    Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Handling Perspective
    por Li Sun, Fengqi You
    Publicado 2021
    Materias: “...Machine learning...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  15. 815
    Machine Learning Assisted Approach for Finding Novel High Activity Agonists of Human Ectopic Olfactory Receptors
    Materias: “...machine learning...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  16. 816
    Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning
    Materias: “...machine learning...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  17. 817
    A Hybrid Finite Element—Machine Learning Backward Training Approach to Analyze the Optimal Machining Conditions
    Materias: “...machine learning...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  18. 818
    Machine Learning Based Prediction of Squamous Cell Carcinoma in Ex Vivo Confocal Laser Scanning Microscopy
    “.../machine learning based medical devices and algorithms. While the field of radiology is on the forefront...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  19. 819
    Geospatial and Machine Learning Regression Techniques for Analyzing Food Access Impact on Health Issues in Sustainable Communities
    “... issues’ descriptive statistics. The tertiary objective was to compare several machine learning techniques...”
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
  20. 820
    Psychosocial Factors Predict the Level of Substance Craving of People with Drug Addiction: A Machine Learning Approach
    Enlace del recurso
    article
    Agregar a favoritos
    Guardado en:
Herramientas de búsqueda: RSS — Enviar por Correo electrónico esta Búsqueda — Guardar Búsqueda